Business futurist. Innovative strategist. Leadership advisor. Bestselling author. Inspiring speaker.
AI is advancing at a breathtaking pace. Models are growing larger, systems more autonomous, and intelligence more deeply embedded into everything from healthcare and finance to logistics, defence and climate science.
Yet beneath the excitement lies a hard constraint that will shape the next era of innovation: processing power requires energy, and energy has limits on Earth.
AI systems depend on vast amounts of processing power. That power consumes electricity, generates heat, requires cooling, and increasingly competes with cities, industries and households for finite resources. As AI scales, so do carbon emissions, water usage and infrastructure strain. The uncomfortable truth is that today’s trajectory is environmentally, economically and politically unsustainable.
This is why a growing number of technologists, scientists and companies are looking upward. Not out of science fiction fantasy—but out of necessity. Space is emerging as the next logical home for energy-intensive intelligence and industry.
This week’s move by SpaceX to align satellite networks, AI and communications platforms are best understood in this context. Regardless of what you think of Musk, Grok or X, this is an early signal of a broader shift: the future of data processing, energy and advanced industry may be extra-terrestrial. Yes it will enhance the potential value of SpaceX’s IPO, but that’s because it symbolises a more fundamental shift in tech, and the exponential opportunities of space.
Or, to borrow from the movie … ET isn’t phoning home anymore. ET is building infrastructure.
AI’s energy challenge
AI is no longer constrained by imagination. It is constrained by physics.
Training and operating advanced AI systems requires specialised chips running continuously at extraordinary intensity. At global scale, this translates into:
Data centres consuming gigawatts of electricity
Cooling systems drawing heavily on water resources
Rising carbon emissions despite efficiency gains
Local resistance to new infrastructure projects
In some regions, AI facilities are already being delayed or blocked because power grids simply cannot cope.
This creates a structural tension. AI is promoted as a tool to optimise energy use, reduce waste and fight climate change—yet its own growth threatens to overwhelm the very systems it aims to improve.
If intelligence is to keep scaling, it needs abundant, clean, reliable energy—at a scale Earth increasingly struggles to provide.
Space offers limitless energy
Space offers something Earth cannot: near-limitless solar energy without competition.
Above the atmosphere, solar power is constant, uninterrupted by night, weather or seasons. Cooling is dramatically easier. There is no land scarcity, no local opposition, and no water stress. From an engineering perspective, space is uniquely well suited to hosting energy-hungry systems.
That logic applies not just to AI, but to a growing range of industries already experimenting beyond Earth.
What we are witnessing is not a single breakthrough, but the early formation of a space-based industrial ecosystem.
AI and processing power in orbit
The SpaceX–Starlink–AI alignment is one of the clearest examples of this shift.
Starlink already operates a global satellite network powered by solar energy. Adding intelligence and processing power into that network transforms satellites from passive relays into active, intelligent nodes – capable of analysing data, optimising traffic, and delivering real-time services without routing everything back to Earth.
This model points toward a future where:
Processing power moves closer to where data is generated
Networks become intelligent systems, not just pipes
Energy generation and data processing are tightly integrated
Carbon intensity per unit of intelligence falls dramatically
Even if the specifics change, the strategic insight remains: Earth-bound data centres are not the end state for AI.
Asteroid Mining
AI and data processing are only part of the story.
Companies like Planetary Resources pioneered serious efforts to explore asteroid mining—not as science fiction, but as a response to resource scarcity on Earth.
Asteroids contain extraordinary concentrations of rare metals, including platinum-group elements essential for electronics, energy systems and advanced manufacturing. In the long run, extracting materials in space—rather than digging deeper holes on Earth—could reduce environmental damage while unlocking new economic models.
While early asteroid-mining ventures struggled financially, their core premise has not disappeared. It has simply matured. Today, governments and private companies increasingly view space resources as:
Strategic assets
Inputs into clean energy technologies
Enablers of off-planet manufacturing
As processing power, robotics and AI improve, the feasibility of autonomous space mining rises sharply.
Life Sciences
Another surprising frontier is healthcare.
The International Space Station has already hosted experiments in:
Protein crystallisation for drug development
Tissue engineering and regenerative medicine
Cancer research and cell behaviour
Bone density and muscle degeneration
Microgravity environments allow biological processes that are impossible on Earth. Crystals grow more perfectly. Cells behave differently. Certain diseases can be studied in accelerated or clearer ways.
As AI-driven analysis and processing power expand, space-based biomedical research could become dramatically more valuable—especially for personalised medicine, advanced therapies and longevity science.
In this context, space is not an escape from Earth’s problems, but a laboratory for solving them.
Climate Intelligence
Ironically, space may become essential to saving Earth.
Satellites already play a critical role in monitoring climate systems, deforestation, ice melt, ocean health and atmospheric changes. Adding more intelligence and processing power in orbit allows data to be analysed in real time, enabling faster response and better forecasting.
This matters because climate systems generate enormous data volumes. Processing that data on Earth adds energy costs and delays. Processing it in space—powered by solar energy—reduces both.
Here again, intelligence moves closer to the source, improving efficiency while lowering emissions.
Space Ecosystems
Taken together, these developments point to a profound shift.
For decades, technological progress assumed Earth as the sole stage. Now, the planet’s limits—energy, carbon, land, water—are forcing a rethink.
The emerging model looks different:
Energy generation in space
Processing power in orbit
Intelligence distributed across planetary systems
Networks spanning Earth and beyond
This is not about abandoning Earth. It is about supporting Earth from above.
SpaceX, Starlink and X
SpaceX’s integration of launch capability, satellite networks and AI is not unique—but it is visible.
It shows what happens when declining launch costs meet rising energy demands and accelerating intelligence. Others will follow, in different forms, with different governance models and values.
Whether one admires or dislikes Musk is almost beside the point. History rarely waits for consensus or comfort. It moves when constraints collide with ambition.
This move is not a conclusion. It is an early example of what’s to come.
ET is extending possibilities
The future of intelligence will not be confined to Earth.
As AI, data processing and advanced industry continue to scale, space offers a release valve for energy constraints, environmental impact and economic growth. From processing power and communications to mining, medicine and climate intelligence, the next industrial frontier is forming above our heads.
ET isn’t phoning home anymore. ET is generating power. ET is processing data. ET is building networks. And increasingly, ET is helping us to embrace new industries in better ways, and explore new possibilities.
Here are my top 10 most interesting space businesses right now, from rocket and satellite companies, to those using space to develop new breakthroughs that enhance life on earth:
1. SpaceX
Origins: Founded in 2002 by Elon Musk to reduce space costs and enable Mars colonisation; now includes Starlink broadband and AI/communications assets through acquisition of xAI/X.
Purpose: Launch reusable rockets, deploy Starship for interplanetary travel, operate Starlink global broadband, and develop space-based AI and computing.
Progress: Dominates commercial satellite launches and crewed missions to the ISS; Starlink has thousands of satellites and millions of users; pre-IPO valuation of $1.25 billion reflects its scale and ambitions.
2. RTX/Raytheon
Origins: Created in 2020 from the merger of Raytheon Company and United Technologies aerospace divisions.
Purpose: Aerospace and defense leader providing satellite communications, sensors, radar, tracking, and ground control systems for civilian and military space applications.
Progress: Longstanding contractor for U.S. government space programs; a cornerstone in satellite infrastructure, defense tracking, and advanced space systems. Market cap of around $230 billion.
3. Rocket Lab
Origins: Founded in 2006 by Peter Beck in New Zealand; now publicly traded in the U.S.
Purpose: Small satellite launch provider via Electron rockets, spacecraft manufacturing via Photon, and medium-lift Neutron launch development.
Progress: 75+ successful Electron launches; strong backlog of missions; establishing itself as a major player in small and medium satellite delivery. Market cap around $12 billion.
4. AST SpaceMobile
Origins: Founded in 2017 by Abel Avellan; went public via SPAC.
Purpose: Build the first space-based cellular broadband network connecting standard smartphones directly to LEO satellites.
Progress: Launched BlueBird satellites; signed partnerships with Verizon, Vodafone, and other carriers; raising over $2 billion in funding. Market cap around $8 billion.
5. OneWeb
Origins: Founded in 2012, emerged from bankruptcy with ownership by the UK government and Bharti Global, later merged with Eutelsat.
Purpose: Deploy a LEO broadband satellite constellation to provide global internet connectivity for enterprise, government, and underserved regions.
Progress: Hundreds of satellites launched; providing low-latency broadband primarily for governments and business partners rather than direct-to-consumer. Estimated value of $5 billion.
6. Intuitive Machines
Origins: Founded in 2013 by Stephen Altemus, Kam Ghaffarian, and Tim Crain; went public via SPAC in 2023. Read their investor presentation.
Progress: Successfully flown lunar landers, secured multiple NASA contracts; expanding lunar and orbital services. Estimated value of $3 billion.
7. Varda Space Industries
Origins: Founded in 2021 by Will Bruey and Delian Asparouhov; backed by Founders Fund and Khosla Ventures.
Purpose: Space-based manufacturing of pharmaceuticals and advanced materials in microgravity for products impossible to make on Earth.
Progress: Completed multiple funding rounds; collaborative in-orbit manufacturing tests with Rocket Lab; positioning itself as a pioneer in space biotech and materials. Estimated value of $1.5 billion.
8. Relativity Space
Origins: Founded in 2015 by Tim Ellis and Jordan Noone to leverage 3D printing for rocket construction.
Purpose: Produce fully 3D-printed rockets (Terran series) to simplify manufacturing, enable rapid reconfiguration, and build reusable heavy-lift launchers.
Progress: Raised $1.3 billion; first flights of Terran R planned by 2026; unique approach focused on automation and additive manufacturing. Estimated value of $5 billion.
9. Firefly Aerospace
Origins: Re-formed in 2017 after EOS Launcher acquired Firefly Space Systems assets; backed by AE Industrial Partners.
Purpose: Small/medium satellite launches (Alpha), lunar lander technology (Blue Ghost), and developing orbital tugs.
Progress: Successful Alpha launches; NASA CLPS lunar contracts totalling ~$176 million; expanding lunar delivery capabilities. Estimated value of $1.5 billion.
10. Yuri
Origins: Founded by former SpaceX and space biotech entrepreneurs; privately held.
Purpose: Space-based biotech research platform for pharmaceuticals, advanced materials, and biological experiments in microgravity.
Progress: Completed multiple ISS missions; partnerships with NASA and pharmaceutical firms including GSK; emerging as a key player in orbit-based biotech innovation.
In a world where change is constant and disruption arrives from every direction, the old approaches to strategy are no longer fit for purpose.
Annual planning cycles, five-year roadmaps, and exhaustive spreadsheets may have served their purpose in the industrial age, but today they are relics. Markets shift in weeks, technologies evolve daily, competitors appear out of nowhere, and customer expectations recalibrate by the minute. The pace of change has outstripped the rhythm of traditional planning. Companies that cling to these old habits are not merely slow—they are vulnerable.
Dynamic Strategy is a new proprietary methodology developed through several years of collaboration with leading companies across industries.
Dynamic Strategy is a leadership capability, built on a curious mindset, and business discipline. It transforms strategy from a static artefact into a living system that senses, adapts, and learns in real time. It combines focus and flexibility, foresight with action, curiosity with rigour, and bold imagination with disciplined agile execution. It does not promise to predict the future; it equips organisations to shape it.
The organisations that have embraced Dynamic Strategy, like Amazon and DBS Bank, Schneider Electric and Microsoft, do not simply survive disruption, they thrive on it. They anticipate it, navigate it, and in many cases, create it. They understand that advantage is transient. Every breakthrough is copied, commoditised, or disrupted faster than ever.
The traditional goal of building a defensible position has been replaced by the imperative to evolve faster than change itself. Dynamic Strategy provides the compass for this journey—a living system for navigating uncertainty with clarity of purpose and direction, together with agility and speed.
The concept of Dynamic Strategy
Dynamic Strategy is a proprietary methodology designed for today’s fast-moving world. It is not a single tool or document, but a comprehensive approach that integrates purpose, foresight, experimentation, data, and culture into a continuous feedback system. It enables business leaders to:
Sense change early and anticipate the best opportunities for innovation and growth.
Leap forwards with hypotheses, tested rapidly through experimentation.
Align resources and teams around purpose and values, but with freedom to deliver.
Balance exploitation of today’s business with exploration of tomorrow’s possibilities.
Integrate human imagination with AI-enabled intelligence to accelerate learning and progress.
Dynamic Strategy transforms strategy into a living capability, turning uncertainty from a threat into a source of competitive advantage.
10 principles of Dynamic Strategy
Dynamic Strategy rests on ten interconnected principles, each forming part of the DNA that enables organizations to thrive in complexity and uncertainty.
1. North Star: Inspired by purpose
In traditional strategy, purpose is often an afterthought, a line of rhetoric in a vision statement that rarely guides daily decision-making. In Dynamic Strategy, purpose is the anchor. It defines what matters most and provides coherence when everything else is in flux. Purpose is not about slogans, or short-term performance, it is about why the organisation exists, what it stands for, and how it delivers value to the world.
Microsoft: Satya Nadella’s articulation of Microsoft’s purpose “to empower every person and organisation on the planet to achieve more” became the anchor for the company’s transformation from software provider to cloud-first, AI-powered ecosystem. Purpose enabled coherence across business units, guiding investment, culture, and innovation.
DBS Bank: Piyush Gupta reinvented the bank of the future with an unexpected purpose, to “Live More, Bank Less” which transformed a conservative Asian bank into an agile, customer-centric powerhouse. Teams aligned behind this inspiring ambition, unlocking their creativity to innovate and grow, rather than do what every other bank does.
Dynamic purpose enables organisations to prioritise quickly, align teams globally, and make bold choices even in ambiguity. When purpose is clear, decision-making does not stall during uncertainty; instead, it accelerates, anchored in a shared ‘why’.
2. System Thinking: From plans to patterns
Where traditional strategy follows a linear process—analyse, decide, implement—Dynamic Strategy treats the organisation as a living system. It sees the company as a network of interdependent teams, processes, and experiments, all sensing and responding to the world in real time. Strategy is no longer a static plan but a pattern of evolving choices.
Haier, for example, operates thousands of micro-enterprises under its Rendanheyi model. Each unit is empowered to sense customer needs, innovate independently, and iterate continuously. The corporation behaves less like a hierarchical machine and more like a living market, adaptive and aligned, capable of learning at scale.
Amazon’s “Always Day One” culture pervades the organisation, encouraging speed and creativity. Small “pizza” teams are empowered to make decisions, run experiments, and learn, forming an adaptive network that responds in real time to market shifts.
Decisions are continuous, emergent, and aligned with the shared purpose. This principle enables organisations to pivot rapidly, test multiple approaches simultaneously, and harness the collective intelligence of the system rather than relying on centralised, episodic decisions.
3. Perpetual Foresight: Seeing the future first
Traditional strategy assumes the future can be predicted and planned for. Dynamic Strategy assumes the future is uncertain and constantly evolving. Organisations must develop continuous foresight, not once a year but every day. This involves scanning for weak signals, modelling multiple scenarios, and actively exploring emerging opportunities and threats.
Shell: Scenario planning was originally developed by the Anglo-Dutch energy business, and has guided them through oil crises, renewables, and energy transitions for decades, turning foresight into strategic advantage. Scenario rooms in The Hague head office are constantly updated, and become the scenes for immersive strategic thinking.
Nvidia: Foresight informs product strategy and market entry, allowing them to anticipate shifts in energy, computing, and AI landscapes. This long term approach, typically focused on the markets of customers rather than just their own, enables them to great a more compelling future narrative, which inspires investors, and their share-prise.
Schneider Electric: Uses foresight to align sustainability initiatives with new technology adoption, creating early mover advantage in green energy markets. This has empowered its reinvention from equipment producer to energy management company, and to be continually ranked as the world’s most sustainable business.
Dynamic organizations don’t just react—they anticipate. The goal is not prediction—it is preparedness for multiple plausible futures, enabling rapid, informed action. Foresight also shapes resource allocation, investment decisions, and experimentation priorities.
4. Strategic Choices: Being smart, staying relevant
Strategy is, at its core, about choice. Traditional approaches often treat choices as final and unchanging. Dynamic Strategy treats them as hypotheses to be tested and refined. Choices are made, resources are allocated, and learning loops determine whether they remain valid or require adjustment. Dynamic Strategy treats choices as hypotheses, continuously tested and refined.
Netflix provides a clear example. Its initial pivot from DVD rentals to streaming was only the first step. Subsequent moves into content production, gaming, and advertising illustrate a pattern of continual strategic recalibration, informed by data and experimentation.
Fujifilm: As markets changed and disruptive new challenges emerged the Japanese business pivoted from film to healthcare to cosmetics, aligning strategic choices with emerging opportunities and core competencies. Skincare for example was a consequence of a capability in making thin films, previously for photographic imaging.
Dynamic strategic choices enable organisations to continually reassess “where to play and how to win” and thereby stay relevant, balance risk and reward, and evolve portfolio allocations with the market rather than reacting after disruption has occurred.
5. Experimentation Engine: Learning at the speed of change
Where traditional strategies often rely on analysis and committee approval, Dynamic Strategy embeds experimentation into the organisation’s DNA. An experimentation engine allows organisations to discover the future rather than predict it, accelerate innovation cycles, and reduce the cost of failure through controlled, evidence-based testing. Every initiative is treated as a hypothesis; every pilot generates evidence. Learning replaces assumption.
Amazon exemplifies this principle. Bezos’s insistence on doubling experiments each year fuels innovation from Prime to AWS. Failures are expected and leveraged as insights. AI now amplifies this process, enabling rapid simulation, iteration, and predictive testing at scale.
Airbnb: Micro-experiments in pricing, search, and user experience drive constant adaptation and improved customer engagement. This was a behaviour championed by its founders who themselves pivoted many times in their early days, and was accelerated during Covid pandemic, when they had to quickly adapt to survive in a non-travelling world.
Dynamic organisations test rapidly, learn continuously, and scale successes. Experimentation, often supported and accelerated by AI, replaces assumption with evidence-driven strategy, enabling organisations to move faster and with higher confidence.
6. Data Pulse: Real-time intelligence for real-time strategy
raditional strategy often relies on lagging indicators—last quarter’s results, annual surveys, or delayed analytics. Dynamic Strategy thrives on real-time intelligence, continuously feeding operational, customer, and market data into decision-making loops.
Shopify: Uses live indicators for sales, engagement, retention, and supply chain performance, allowing decisions in real time across its entire ecosystem.
Uber: Dynamic pricing, routing, and service deployment are continuously updated based on a data pulse. AI integrates internal metrics with external signals, producing foresight in motion.
Coca Cola: Starting with what’s happening in the real world, they actively monitor in real-time the posts and behaviours of consumers and merchants across the planet, able to instantly adapt demand, messages, promotions, pricing and more.
Strategy becomes a living conversation with the market, responsive to immediate changes and emergent trends. A strong data pulse allows organisations to sense trends as they emerge, make faster course corrections, and align resources dynamically rather than waiting for annual review cycles.
7. Aligned Agility: Focused freedom across the system
Dynamic Strategy balances freedom with focus. It requires organisations to balance autonomy with alignment. Traditional hierarchies can stifle speed, while completely decentralised approaches can fragment effort. It empowers teams to act with freedom while maintaining coherence with the organisation’s purpose and priorities.
Spotify’s model of “alignment with autonomy” allows squads to innovate independently but within a shared framework. These squads and tribes operate independently, innovating within the context of overarching objectives. Ideas are developed with more ownership, relevance, and impact.
DBS Bank: Employees co-create strategy through hackathons, jams, and digital workflows, aligning creativity with corporate purpose. They use creative catalysts – “What would Jeff Bezos do?” – “How can we be 10 times not 10% better?” – “Imagine if we were to the customer” – to continually rethink how to innovate and grow.
Aligned agility enables organisations to experiment, innovate, and adapt locally while maintaining global coherence, combining the best of decentralised initiative and centralised vision.
Perhaps the most important tool is to manage the short and long-term initiatives of the business – to exploit the present and explore the future – not as a trade off, but to allocate resources effectively, and manage continuous progress. Developing two portfolios, typically one for 1-3 years, and the second beyond, means they can work dynamically:
Fujifilm exemplifies dual horizons. While exploiting its chemical and imaging expertise, it explored healthcare, regenerative medicine, and digital solutions, reinventing itself without abandoning its DNA. It actively manages both the exploit and explore portfolios to allocate resources, investments, and inspire investors.
PingAn has become much more than an insurance company – continuing to exploit that core business – but also explore new ventures – from healthcare to mobility and real estate – and its case by creating dual CEOs, one managing today, one managing tomorrow.
Dual horizon design allows organisations to deliver reliable results today while continuously investing in the future, reducing the risk of obsolescence and enabling sustained growth.
9. Reinvention Design: Continuous reimagination and renewal
Change can no longer be episodic. Dynamic organisations build reinvention into their rhythm. Innovation cycles, strategy sprints, and continuous improvement loops become permanent features, not one-off initiatives. They see themselves in “perpetual beta”, always evolving.
IKEA, through “democratic design” and circular supply chain experiments, continuously rethinks products, formats, and customer engagement. Renewal is no longer reactive, instead it is embedded, disciplined, and deliberate. Strategy and innovation become one.
Amazon: Constant re-evaluation of business units and experimentation enables continuous market adaptation. At a macro level, it becomes apparent how the business is evolving – from bookstore to everything store, business platform to market platform.
Reinvention by design ensures organisations never stagnate, continuously evolving to capture the new opportunities. This continuous cycle of reinvention, progress and growth means they shape markets, rather than just following them
10. Courageous Culture: Thriving in a world of uncertainty
Finally, strategy lives in people. Dynamic Strategy depends on a culture that values learning and transparency. Leaders admit uncertainty, invite exploration, and create psychological safety. It thrives on imagination, curiosity, and courage. Leaders model vulnerability, invite exploration, and replace fear with learning.
Schneider Electric’s approach of trust and empowerment at scale enables local teams to innovate while remaining aligned with global purpose. A courageous culture allows organisations to navigate uncertainty, embrace experimentation, and harness collective creativity as a competitive advantage.
Haier: Teams self-organize around customer needs, creating a culture of experimentation and ownership. Leaders at head office act more like VCs providing investment and guidance. This “rendanheyi” model unlocks more ownership, more creativity, more relevance, and collaboration, and more speed.
Dynamic organisations nurture people who think for themselves, challenge assumptions, and act decisively. AI may enhance intelligence, but it is human imagination that creates meaning and progress.
Dynamic Strategy in action
Dynamic Strategy is not theory. It is being practised, refined, and scaled by some of the world’s most dynamic companies, each using it to turn turbulence into transformation, to continually reimagine the future, and reinvent themselves.
Microsoft: Reinventing a tech giant
When Satya Nadella became CEO in 2014, Microsoft was still vast and profitable, yet widely seen as a relic of the past — a company defined by its legacy, not its future. Its products dominated the corporate world, but its spirit had stalled. Internal silos stifled collaboration, innovation was cautious, and culture had hardened around efficiency rather than exploration. The company that had once shaped the digital revolution now seemed to be standing still as new forces — Apple, Google, Amazon, and emerging start-ups — captured the imagination of the world.
Nadella’s arrival marked the beginning of one of the most remarkable corporate transformations of the century. His mission was not to fix Microsoft, but to reawaken it. He began by dismantling the silos that had divided product teams and mindsets for decades, replacing internal competition with shared purpose and open collaboration. The company’s mission was reframed from “a computer on every desk” to “empower every person and every organisation on the planet to achieve more.” This simple yet profound redefinition unlocked a new horizon — not about devices or software, but about human potential and digital possibility.
At the heart of this transformation lay the principles of Dynamic Strategy. Nadella recognised that Microsoft’s greatest challenge was not technological but cultural. Strategy, he believed, could no longer be a five-year roadmap delivered from the top; it had to be a living process that learned and evolved in real time. He replaced the company’s rigid planning cycles with shorter, iterative horizons. Teams were encouraged to experiment, collaborate across boundaries, and connect purpose to performance. Microsoft began to act like a networked ecosystem rather than a corporate fortress.
Purpose anchored the journey. Nadella championed empathy as a leadership value and curiosity as a strategic muscle. He frequently reminded teams that “our industry does not respect tradition — it only respects innovation.” The idea was not to chase competitors but to rediscover the company’s soul: a belief in empowering others through technology. This shift in mindset — from knowing to learning, from defending to exploring — became Microsoft’s new source of energy.
The growth mindset, inspired by psychologist Carol Dweck’s work and deeply embedded across the organisation, became both a cultural philosophy and a strategic tool. It replaced the old fixed mindset that prized optimisation and control with a living framework for continuous learning. Teams were encouraged to test ideas quickly, share feedback openly, and see mistakes as data rather than failure. The company that once feared change now designed for it.
This cultural reinvention laid the foundation for Microsoft’s technological and commercial transformation. Under Nadella, the company accelerated the evolution of Azure, its cloud platform, from a supporting service into the strategic backbone of global enterprise digitalisation. Azure’s open architecture, partnerships, and integration with AI positioned Microsoft as an indispensable partner in the world’s digital transformation — a shift from selling software to enabling ecosystems.
The pivot to AI and open collaboration exemplified Dynamic Strategy in action. Rather than seeing artificial intelligence as a side project, Nadella embedded it at the heart of the business. AI became a capability that every product and service could draw from — from Office 365 to GitHub Copilot to Dynamics. Microsoft’s acquisition of LinkedIn and partnership with OpenAI reflected this systemic approach: connecting platforms, data, and intelligence into a unified strategic network. The company’s bold move to integrate generative AI directly into its productivity suite — rebranding it as “Copilot for Everything” — not only reshaped the software landscape but redefined how humans and machines work together.
Nadella’s leadership was distinguished by its calm intensity. He led not with bravado but with belief — creating psychological safety that allowed experimentation to flourish. His ability to balance humility with ambition set a new tone across the organisation: strategy as learning, leadership as enablement. He famously described his role as “the curator of culture,” understanding that long-term advantage comes not from a single breakthrough but from building an environment where breakthroughs are continuous.
Foresight guided the journey. Microsoft stopped predicting the future and started building optionality — positioning itself at the intersections of emerging technologies rather than committing too early to any single path. The company’s investments in cloud infrastructure, developer ecosystems, AI research, and quantum computing illustrate this principle: each initiative designed to sense, adapt, and evolve in response to what emerges.
Experimentation accelerated everything. Thousands of micro-initiatives — from local innovation sprints to open-source collaborations — allowed Microsoft to learn faster than it grew. Its transformation into a platform company turned customers into co-creators, developers into partners, and competitors into collaborators. The result was a dynamic feedback loop: every product release, user interaction, and partner engagement fed insights back into the company’s learning system, reinforcing its adaptive capacity.
The outcome of this cultural and strategic renewal has been extraordinary. Microsoft’s market capitalisation has risen from around $300 billion to over $3 trillion, making it one of the world’s most valuable and admired companies. But the deeper success lies beneath the numbers — in the way Microsoft has redefined what enduring performance looks like in the digital era. It is no longer a company driven by plans and hierarchies, but by principles and possibilities. It no longer sees strategy as prediction, but as participation — a continuous dialogue between people, purpose, and technology.
Nadella’s Microsoft shows that reinvention is not an event but a habit — the disciplined practice of curiosity, empathy, and imagination applied at scale. Its story demonstrates that Dynamic Strategy is not about speed alone, but about rhythm — the rhythm of sensing, learning, adapting, and renewing. Microsoft became a company that learns faster than it grows, and in doing so, it grew further than anyone imagined.
DBS Bank: Making banking invisible
In Singapore, DBS has transformed itself from a bureaucratic state-owned institution into one of the world’s most admired and dynamic financial innovators. Once known as the “Development Bank of Singapore,” the organisation was structured for stability, not speed — focused on compliance, not creativity. But under the leadership of CEO Piyush Gupta, DBS embarked on a remarkable reinvention that redefined what a bank could be in the digital age.
At the heart of this transformation lies a bold guiding idea: “Live More, Bank Less.” Far more than a marketing slogan, it became the North Star for every strategic decision, innovation, and cultural shift within the company. Gupta’s vision was to make banking so intuitive, seamless, and integrated into people’s lives that it would disappear into the background — allowing customers to focus on living, rather than managing their finances. In his words, “people don’t want to do banking; they want to buy a home, travel, build a business, and secure their future.” The role of DBS, therefore, was to remove friction from these experiences — to humanise finance through technology and empathy.
To realise that ambition, DBS had to transform not just its technology but its operating system — the way it thought, worked, and learned. Gupta and his leadership team introduced a new rhythm of Dynamic Strategy, built around adaptability, experimentation, and co-creation. The bank shifted from long-term planning cycles to continuous iteration: short “strategy sprints” where cross-functional teams would test, learn, and scale new ideas rapidly. These teams were empowered to act like start-ups within the bank, each focused on solving specific customer problems — from digital onboarding to wealth management and SME lending.
DBS also built a data-driven nervous system, enabling real-time insight into customer behaviour, operational performance, and emerging risks. This intelligence infrastructure allowed the bank to sense change early and respond faster than competitors — whether through personalised digital experiences, instant credit decisions, or predictive fraud detection. By combining analytics with human-centred design, DBS created products that feel effortless: mobile apps that anticipate needs, chatbots that resolve issues instantly, and APIs that connect banking to the wider ecosystem of travel, commerce, and lifestyle.
Crucially, the transformation was cultural as much as technological. Gupta often described DBS’s journey as moving from “the biggest bank in Singapore” to “the best start-up in Asia.” He dismantled hierarchy, encouraged openness, and made curiosity a strategic asset. The bank adopted agile working principles long before they became fashionable in finance, embedding experimentation into everyday behaviour. Failure was reframed as learning; success was measured not only by profit but by progress — how fast teams could sense, respond, and improve.
This culture of dynamic learning fuelled an extraordinary performance turnaround. DBS became the first bank to be named World’s Best Bank by three major institutions — Euromoney, Global Finance, and The Banker — all within the same year. Its profitability reached record levels, even as it reduced cost-to-income ratios and dramatically increased digital adoption across its customer base. During the COVID-19 crisis, DBS was able to deploy emergency financial solutions and new digital services in weeks, not months — a testament to its adaptive capabilities.
One striking example of Dynamic Strategy in action was DBS’s move into ecosystem partnerships. Instead of building every service in-house, the bank opened its platforms to collaborate with fintechs, start-ups, and consumer brands. Through open APIs and co-creation labs, DBS connected banking to daily life — enabling customers to book travel, make purchases, invest, or even donate directly within their digital environments. This shift from closed systems to open ecosystems allowed the bank to innovate faster and scale more broadly, extending its reach without losing its human focus.
The results are both quantitative and qualitative. Customer satisfaction scores have soared. Employee engagement has deepened. Innovation has become a collective sport rather than a specialist function. Gupta calls this “the joy of banking”— not for the bank, but for its customers and people. Every process, product, and platform is designed around a simple premise: if it feels effortless, we’ve done our job.
DBS today embodies what Dynamic Strategy enables: a living organisation that continuously learns, experiments, and evolves in rhythm with its environment. It no longer waits for direction from the top or for certainty from the market. It acts, learns, and leads differently — turning data into empathy, purpose into performance, and adaptability into enduring advantage.
DBS’s story shows that transformation is not reserved for technology companies or start-ups. It is possible — and powerful — in the most traditional sectors when leadership reimagines the role of strategy itself. By making banking invisible, DBS made progress visible — proving that when an organisation aligns its purpose with its people, platforms, and principles, it doesn’t just adapt to the future; it helps create it.
Fujifilm: The science of endless possibilities
Fujifilm’s journey from near-death to rebirth stands as one of the most profound and enduring corporate reinventions in modern history. When the digital revolution disrupted the photographic industry in the early 2000s, most observers assumed the company’s fate would mirror that of its great rival, Kodak. Film was vanishing, and with it the entire foundation of Fujifilm’s century-old business model. But instead of retreating, Fujifilm reimagined itself — not as a photography company struggling to survive, but as a science company with endless possibilities for renewal.
This shift required more than diversification; it demanded a radical reframing of identity. The leadership team asked a simple but transformative question: What are we truly good at? The answer lay not in cameras or film rolls, but in chemistry, materials science, and the molecular technologies that underpinned the company’s photographic expertise. Fujifilm’s scientists had spent decades perfecting the manipulation of light-sensitive compounds, polymers, and collagen-based coatings — capabilities that turned out to be equally valuable in healthcare, life sciences, and high-performance materials. By seeing itself as a platform of capabilities rather than a product manufacturer, Fujifilm unlocked a new horizon of growth.
The company’s Dynamic Strategy was not about predicting where the world was heading, but about building the adaptive capacity to shape it. Fujifilm established a dual-horizon model: one horizon focused on maintaining the profitability of its imaging and optical technologies — a source of cash flow, heritage, and brand equity; the other dedicated to pioneering entirely new frontiers in healthcare, biotechnology, and advanced materials. This duality was not a compromise but a design principle: using today’s strengths to invest in tomorrow’s breakthroughs.
Out of this approach emerged a series of bold strategic moves. Fujifilm applied its expertise in collagen — once used in photographic film — to develop anti-ageing cosmetics and regenerative medical treatments. Its chemical know-how led to the creation of membranes for water purification and pharmaceutical production. The company invested in medical imaging, diagnostic systems, and contract drug manufacturing, culminating in Fujifilm Diosynth Biotechnologies — now a global leader in biopharmaceutical production. In doing so, Fujifilm turned what was once seen as industrial decline into a platform for health, life, and sustainability.
Crucially, the company maintained its connection to its heritage without being trapped by it. Its imaging business evolved into high-end digital photography, professional printing, and optical equipment for cinema and medicine. Rather than abandoning its roots, Fujifilm reinterpreted them through a modern lens — preserving identity while expanding purpose.
Under the leadership of Shigetaka Komori, this transformation became both philosophical and structural. Komori instilled a culture of kaizen (continuous improvement) fused with entrepreneurial experimentation. He encouraged teams to act like start-ups inside the company, challenging old assumptions and testing new ideas rapidly. Instead of waiting for certainty, Fujifilm learned to move with curiosity, confidence, and conviction — the essence of Dynamic Strategy in practice.
The results have been remarkable. While Kodak filed for bankruptcy, Fujifilm not only survived but thrived. Its revenue base is now more diversified and resilient than ever, with healthcare and high-functional materials accounting for the majority of its profits. Its imaging division continues to grow, not as nostalgia, but as a creative platform connecting art, science, and innovation. The company’s stock price and global presence have multiplied, but more importantly, it has redefined what reinvention means: a continuous process of learning, recombining, and regenerating.
Fujifilm’s story reveals that the most powerful strategy is not to predict the future, but to build one — through imagination, science, and disciplined adaptability. Its transformation is proof that legacy need not be a burden; it can be a source of renewal. In the age of disruption, Fujifilm embodies what Dynamic Strategy makes possible: an organisation that learns faster, adapts deeper, and creates new worlds from the remnants of the old.
Schneider Electric: Leading the green energy transition
Schneider Electric’s Dynamic Strategy brings together sustainability, digitalisation, and decentralisation into a single, coherent narrative — one that evolves continuously rather than being fixed in annual plans or top-down directives. For Schneider, strategy is not a document but a living system — powered by data, driven by purpose, and refined through constant learning at every level of the organisation.
At its core, Schneider’s purpose — to empower all to make the most of our energy and resources — serves not as a slogan but as the organising principle of how it operates. This purpose translates directly into operational logic: every product, platform, and partnership is measured by its contribution to efficiency, resilience, and sustainability. Instead of asking, “How do we grow?” Schneider asks, “How do we enable our customers to do more with less?” That shift — from self-interest to shared progress — turns strategy into an evolving commitment rather than a static ambition.
The company’s approach is deeply data-driven. Through real-time intelligence systems, connected sensors, and advanced analytics, Schneider gathers insights from factories, buildings, grids, and data centres across the world. These feedback loops allow teams to see, measure, and improve energy performance instantly — transforming information into action. Strategic decisions are now modular and iterative, built on living dashboards rather than fixed forecasts. This enables the company to adjust direction quickly, optimise resources dynamically, and co-create new solutions with customers in real time.
What makes Schneider’s model especially powerful is its decentralised execution. Rather than relying on central control, Schneider operates through a network of empowered local teams — each with the autonomy to adapt strategies to regional markets, regulatory shifts, and customer needs. These teams act as nodes in a larger system, connected by shared data platforms and a clear sense of purpose. In India, for example, Schneider has pioneered microgrid innovations for rural electrification; in Europe, it leads industrial decarbonisation projects; in North America, it partners with tech firms to build energy-efficient data centres. Each initiative is local in action, yet global in alignment.
This dynamic interplay between purpose, data, and decentralised decision-making has fuelled both growth and transformation. Over the past decade, Schneider has more than doubled in size, expanded its digital services portfolio, and emerged as a benchmark for environmental leadership. Its EcoStruxure platform — a digital architecture that connects everything from sensors to cloud analytics — has become the backbone of its adaptive strategy, enabling both operational agility and customer innovation.
Schneider’s story demonstrates that adaptability and responsibility are not opposites but allies. Its evolution shows how a business can be both profitable and planetary, both dynamic and disciplined. By embedding sustainability at the heart of its strategy system — not as a department or initiative but as a living principle — Schneider has redefined what performance means in the modern age: not only to deliver results, but to renew relevance, resilience, and impact every day.
Haier: Ecosystems of smarter living
Haier’s rendanheyi model represents Dynamic Strategy taken to its ultimate form, a living, breathing ecosystem of entrepreneurial energy. What began as a Chinese refrigerator manufacturer has evolved into one of the world’s most radical organisational experiments: thousands of micro-enterprises, each guided by shared purpose and enabled by digital platforms, operating with complete autonomy.
At the heart of Rendanheyi lies a profound shift in the relationship between people and the organisation. Ren refers to the employee, Dan to user value, and Heyi to their seamless integration. Every individual or small team acts as a mini-entrepreneur, directly accountable to customers, measured not by hierarchical goals but by the real impact they create in the market. This creates a system where initiative, not instruction, drives progress — where innovation arises naturally from those closest to the opportunity.
Haier doesn’t rely on a single corporate strategy. Instead, it hosts thousands of micro-strategies — each a dynamic response to specific user needs, emerging trends, or local contexts. The company’s central platforms provide the shared infrastructure — data, finance, technology, and talent marketplaces — that allow these micro-enterprises to experiment, connect, and scale. When one succeeds, it attracts more talent and resources; when one fails, it dissolves quickly and its learning is shared.
The result is an organisation that evolves organically, like a living ecosystem. Haier can incubate a new business in days, partner with external innovators seamlessly, and pivot entire networks of teams around new opportunities. Its refrigerator division, for instance, operates as an open innovation hub co-developing smart appliances with users. Its COSMOPlat platform, meanwhile, has become a standalone industrial IoT ecosystem used by thousands of other manufacturers — transforming Haier from a producer of goods into an orchestrator of value networks.
Haier demonstrates that strategy is no longer about control; it’s about creating the conditions for emergence. The role of leadership is not to plan every move, but to design the ecosystem — to set the purpose, build the platforms, and trust in the adaptive intelligence of people.
What makes Haier’s model so powerful is not only its agility but its humanity. It empowers individuals to act like owners, connects their passions with customer value, and transforms hierarchy into harmony. In doing so, Haier has shown that the future of strategy may not be a grand plan at all — but an evolving choreography of purpose, freedom, and collaboration at scale.
Leading as Performer Transformers
These examples show how Dynamic Strategy changes what strategy is. It is not a plan written by a few for the many to follow—it is a living system enacted by everyone. It’s not about predicting the future but becoming future-ready. It turns uncertainty into advantage, speed into learning, and disruption into possibility.
Organisations that embrace Dynamic Strategy think differently. They act faster. They grow smarter. And most importantly, they build resilience not through defence, but through dynamic coherence—the ability to stay true to purpose while continuously evolving form.
To lead in this world requires a new kind of leader, a “Performer Transformer”. These leaders exploit and explore, they balance delivery with discovery, discipline with imagination. They lead not by command, but by curiosity. They see the world as unfinished, strategy as evolving, and leadership as the art of enabling others to act with purpose and freedom.
They understand that the future will not be managed into existence—it must be imagined, tested, and built. Dynamic Strategy gives them the tools to do exactly that.
Strategy has always been about choice. But in the age of acceleration, the ultimate choice is this: Do we cling to the stability of plans, or do we embrace the vitality of change?
Dynamic Strategy invites you to choose the future, to choose change – to think dynamically, act boldly, and lead with imagination in a world that never stops moving.
The Dynamic Strategy Toolkit
The old tools of strategy, planning, innovation, and delivery are no longer fit for purpose. Dynamic strategy requires a new toolkit, new behaviours and practices, and overall process.
This Dynamic Strategy Toolkit provides a comprehensive suite of frameworks, tools, and approaches to help leaders navigate this dual imperative. Drawing on insights from Mintzberg, Tushman & O’Reilly, Christensen, Osterwalder, and contemporary agile and AI practices, the toolkit covers mindset, strategy, innovation, organisation, execution, learning, culture, and technology. Designed for senior executives, it offers practical processes and deliverables that transform strategic intent into actionable, adaptive, and measurable initiatives, enabling organisations to thrive in both today’s challenges and tomorrow’s opportunities.
There are over 60 tools, grouped as follows. You don’t need all of them, its about working out what is right for your organisational challenges and culture behaviours, and then how they flow together:
Dynamic Mindset Tools
Direction and Narrative Tools
Diagnostic Tools
Strategic Choice and Design Tools
Alignment and Execution Tools
Learning and Adaptation Tools
Culture and Behaviour Tools
Technology and Data-Enabled Strategy Tools
1. Dynamic Mindset Tools
1.1 Emergent Strategy Lens
Origin: Developed by Henry Mintzberg at McGill University (1970s–1990s), this framework challenged the notion of strategy as a fixed plan.
Role: Establishes the mindset that strategy is both planned and emergent. Used early to help leaders understand that real strategy often differs from intended strategy.
Process:
Map the organisation’s intended strategy (plans, goals, roadmaps).
Observe actions and initiatives that diverge from plans.
Identify patterns of emergent behaviour.
Compare intended vs. realised outcomes.
Deliverables: Visual map of intended vs. realised strategy, insights on emergent patterns, identification of gaps and adaptation points.
Origin: Practical extension of Mintzberg’s model, designed for corporate strategy tracking.
Role: Tracks the evolution of strategic initiatives, clarifying which elements are retained, dropped, or newly emergent. Critical for continuous strategy monitoring.
Process:
List all strategic initiatives.
Categorise each as Intended, Dropped, Emerging, or Realised.
Analyse reasons for dropping or emergence.
Update the portfolio based on insights.
Deliverables: IDER dashboard showing initiative status, reasons for change, and emergent opportunities.
1.3 Ambidextrous Balance (Exploit & Explore)
Origin: Developed by Charles O’Reilly & Michael Tushman at Stanford/Harvard (1996+).
Role: Balances exploitation of current operations with exploration of new opportunities. Guides leadership mindset and organisational design.
Process:
Identify core operations (exploit) and innovation/adjacent initiatives (explore).
Allocate leadership focus and resources accordingly.
Ensure structural and cultural support for dual focus.
Origin: Derived from technological evolution theory; popularised by Richard Foster and Clayton Christensen.
Role: Visualises growth trajectories of products, technologies, or business units, highlighting when renewal or transformation is required.
Process:
Plot historical performance over time.
Identify plateau points or declining trends.
Analyse triggers for next-curve investment.
Deliverables: S-curve charts, timing recommendations for strategic renewal or innovation investment.
2. Direction and Narrative Tools
2.1 Strategic North Star (Purpose, Vision, Mission)
Origin: Inspired by management classics (Drucker) and modern refinements (Collins & Porras).
Role: Provides the organisation’s guiding direction and inspiration for both operational efficiency and innovative exploration.
Process:
Define organisational purpose (why the organisation exists).
Develop vision statement (desired future state).
Clarify mission (how the organisation operates today).
Deliverables: Aligned purpose, vision, and mission statements communicated across the organisation.
2.2 Storytelling Engine
Origin: Inspired by Denning, Simmons, and Sinek.
Role: Converts abstract strategy into compelling narratives that drive engagement and alignment across teams.
Process:
Craft stories illustrating purpose, vision, and strategic pillars.
Identify key stakeholder audiences and tailor messaging.
Integrate stories into meetings, presentations, and communications.
Deliverables: A suite of narrative materials, presentations, and communications tools.
2.3 Pillars Framework
Origin: Contemporary strategic planning practice.
Role: Breaks strategy into clear, actionable pillars, linking objectives, initiatives, and outcomes.
Process:
Identify 3–6 core strategic pillars.
Assign objectives and key initiatives under each pillar.
Communicate pillars and link them to individual and team KPIs.
Deliverables: Pillar map with initiatives and measurable objectives.
3. Diagnostic Tools
3.1 Congruence Checker
Origin: Developed at Columbia Business School, Nadler and Tushman
Role: Diagnoses alignment between strategy, culture, structure, and people, identifying friction points and misalignment.
Process:
Map strategy, structure, people, and culture.
Identify gaps, misalignments, or friction points.
Develop corrective action plans to resolve misalignment.
Deliverables: Organisational congruence report with actionable interventions.
3.2 Must-Win Battles Focus
Origin: INSEAD research, Hägglund & Doz.
Role: Identifies critical priorities that will determine the organisation’s success in the short- and medium-term.
Process:
List all strategic priorities.
Select top 3–5 must-win battles.
Assign accountability and metrics for each.
Deliverables: Prioritised battle list, responsibility matrix, and performance tracking dashboard.
3.3 Systems & Synergies Lens
Origin: Systems thinking principles, Prahalad & Hamel’s core competencies framework.
Role: Reveals interdependencies across units, value chains, and ecosystem partners to identify leverage points.
Process:
Map key business units, products, or partners.
Identify synergy opportunities and risks.
Recommend integrated initiatives for cross-unit value creation.
Deliverables: Synergy map, integration opportunities, and strategic recommendations.
3.4 Complexity Radar (Cynefin, Weak Signals)
Origin: Developed by Dave Snowden (Cynefin) and Karl Weick (weak signals).
Role: Guides decision-making based on the complexity and uncertainty of the environment, distinguishing between simple, complicated, complex, and chaotic domains.
Process:
Categorise business challenges into domains.
Identify weak signals or early indicators of change.
Determine planning vs. experimentation approaches per domain.
Deliverables: Complexity assessment report with action guidelines for different domains.
4. Strategic Choice and Design Tools
4.1 Strategic Dialogue Mapper
Origin: Inspired by Shell Scenarios (Pierre Wack) and modern facilitation practices.
Role: Integrates top-down strategic intent with bottom-up insights to ensure all perspectives inform decision-making.
Origin: Organisational design principles and culture theory.
Role: Ensures strategy is embedded in behaviours, leadership actions, and organisational norms.
Process:
Assess alignment between strategy, culture, and leadership behaviours.
Identify gaps or misalignments.
Recommend interventions to reinforce desired behaviour and values.
Deliverables: Alignment assessment report, behavioural interventions, leadership development plan.
7.2 Change Management
Origin: Organisational change research (Prosci Adkar, John Kotter, William Bridges).
Role: Manages human adoption of strategic initiatives to ensure change is sustained.
Process:
Assess readiness and gaps in capability and mindset.
Design interventions tailored to different groups.
Monitor adoption metrics and adjust initiatives as needed.
Deliverables: Change management plan, adoption dashboards, and communication toolkits.
7.3 Behavioural Nudges
Origin: Richard Thaler & Cass Sunstein, behavioural economics.
Role: Shapes choices and behaviour in alignment with organisational strategy through subtle cues, incentives, or defaults.
Process:
Identify critical behaviours needed for strategic outcomes.
Design nudges, incentives, or choice architecture to encourage desired behaviours.
Monitor effectiveness and refine interventions.
Deliverables: Nudge interventions, behavioural metrics, and impact reports.
7.4 Cultural Archetype Map
Origin: Edgar Schein, organisational culture theory.
Role: Reveals underlying assumptions, norms, and values that enable or block strategic objectives.
Process:
Map observable artefacts, behaviours, and beliefs.
Analyse alignment or gaps with strategic intent.
Recommend interventions to reinforce desired cultural traits.
Deliverables: Cultural archetype map, gap analysis, and intervention plan.
8. Technology and Data-Enabled Strategy Tools
8.1 Data-Infused Strategy Engine
Origin: Emerging AI-driven strategy and analytics practices.
Role: Uses AI and analytics to detect trends, model scenarios, and optimise strategic decision-making.
Process:
Integrate internal and external organisational data sources.
Run predictive analytics, simulations, and scenario modelling.
Feed insights into strategy cycles for decision-making.
Deliverables: Predictive dashboards, scenario simulations, and actionable recommendations.
8.2 Digital Twin Simulator
Origin: Engineering and Industry 4.0.
Role: Creates a virtual model of business processes, products, or markets to test strategic decisions in a simulated environment.
Process:
Develop digital twin representing relevant business or operational systems.
Simulate strategic changes, shocks, or new initiatives.
Analyse outcomes to inform real-world decisions.
Deliverables: Simulation results, risk assessments, and optimisation recommendations.
8.3 AI-Augmented Ambidexterity
Origin: Emerging digital strategy practice combining AI and ambidextrous management principles.
Role: Accelerates dual strategy by optimising core operations (exploit) and guiding human-led exploration (explore).
Process:
Deploy AI to optimise efficiency and decision-making in core business operations.
Use AI insights to inform exploration of new growth opportunities.
Integrate learning from both streams into iterative strategy cycles.
Deliverables: Operational optimisation reports, new growth opportunity insights, and integrated AI-human decision workflows.
Overview
This Dynamic Strategy Toolkit unites over 50 years of strategic thinking—from Mintzberg’s emergent lens to AI-driven adaptive planning—into a coherent, actionable framework. Each tool has a clear origin, role, process, and deliverable, and together they provide organisations with the ability to sense, adapt, execute, and renew continuously.
By following the logical sequence—from mindset foundations, direction, diagnosis, choice, execution, learning, cultural embedding, to technology-enabled strategy—leaders can navigate uncertainty, align teams, and sustain competitive advantage in fast-changing markets.
Eyes on Tomorrow: What Leaders Must See before Everyone Else … exploring the most important megatrends that are transforming markets, and leadership mindsets, and how the best companies embrace them as opportunities … based on the new Megatrends 2035 report by Peter Fisk, and its implications for every business.
The Reinvention Playbook: Thriving in a World of Relentless Change… the best organisations seek to continually reinvent themselves in a world of constant, uncertain and dynamic change. They rethink, refocus, and reinvent everything – embracing new agendas from AI to GenZ, climate change and social inequality.
Consumer of the Future … “Aisha blinked twice, the smart lenses in her eyes had already scanned her biometric mood, cross-checked her carbon budget, and pulled up items her climate-positive friends were buying this week”
The Sustainable Consumer: Go on, do the Right Thing … how brands can accelerate the consumer shift to sustainable products and practices … from food and fashion, to energy and electric cars, making sustainability desirable and better.
Becoming a Future-Ready Business … in a world of relentless change, organisations need to anticipate change, embrace innovation, empower talent, and align deeply with the evolving needs of society and the planet
Food is no longer a slow-moving sector defined by incremental change. It has become one of the most dynamic arenas of reinvention in the global economy — shaped by economic pressure, scientific breakthroughs, cultural shifts and radically changing consumer expectations.
Across markets, consumers are rewriting the rules. They are trading down ruthlessly on staples while paying more for products that feel healthier, more ethical or more meaningful. They are sceptical of marketing claims yet hungry for innovation. They demand transparency, functionality and flavour — simultaneously. And they expect brands to evolve as quickly as the rest of their lives.
For food businesses, this creates tension — but also extraordinary opportunity. The winners of the next decade will not be those that merely defend market share, but those that reimagine value, redefine premium, and turn food into an experience, not just a product.
Global trends reinventing food
1. Value sensitive with premium splurges
Consumers everywhere are more price-conscious than they have been in decades. Staples are scrutinised, brands are swapped without hesitation, and private label continues to gain ground. Yet this is not a race to the bottom.
Instead, consumers practise strategic frugality. They save aggressively on basics in order to splurge on one or two items that matter — a healthier oil, a premium snack, a product with meaning or indulgence attached.
The new rule: Value and premium now coexist in the same basket.
2. Premium redefined as “better-for-you”
Luxury cues alone no longer justify higher prices. Today’s premium is increasingly nutritional, functional and preventative: more protein, more fibre, less sugar, cleaner labels, functional ingredients.
Health is no longer a niche — it is a decision filter. Consumers may still buy indulgence, but they increasingly want reassurance that it fits a healthier lifestyle.
The new rule: Premium equals credibility, not decoration.
3. Plant-based goes mainstream
The plant-based movement has moved beyond early adopters. The future is not strict veganism, but flexitarianism — consumers blending plant and animal proteins based on taste, health, cost and occasion.
Innovation is shifting from ideology to sensory performance: better texture, better taste, simpler ingredients and hybrid solutions.
The new rule: Plant-based wins when it feels normal, not worthy.
4. Technology enters the kitchen
AI, fermentation, precision processing and even 3D printing are reshaping food formulation. These technologies are closing the taste and texture gaps that once limited healthier or sustainable alternatives.
What was once R&D-led experimentation is now commercially viable at scale.
The new rule: Food innovation is becoming computational.
5. Private label becomes premium
Retailer brands are no longer generic substitutes. They are curated, premiumised and often more innovative than national brands — offering exclusivity, storytelling and price advantage simultaneously.
This shifts power in the value chain and forces brands to rethink their role.
The new rule: Retailers are no longer just distributors — they are brand builders.
6. Sustainability moves from ethics to economics
Sustainability has crossed a crucial threshold. It is no longer just a moral argument; it is a growth strategy. Brands that reduce waste, upcycle ingredients, shorten supply chains or improve transparency increasingly win loyalty and justify premium pricing.
Consumers reward brands that prove — not proclaim — their impact.
The new rule: Sustainability must pay its way.
7. Food as functional medicine
Consumers increasingly view food as a tool for long-term wellbeing — supporting gut health, energy, immunity and metabolic balance.
This blurs the boundary between food, beverage and wellness, opening new premium categories and consumption moments.
The new rule: Food is preventative care.
8. Convenience gets premiumised
Busy, urban lifestyles drive demand for convenience — but not at the cost of quality. Premium ready meals, meal kits and prepared foods are thriving by combining time-saving with restaurant-level expectations.
The new rule: Convenience is no longer cheap — it is curated.
9. Digital discovery reshapes brand building
Social platforms, influencers and DTC channels increasingly define what gets noticed, trialled and shared. Brands can scale faster than ever — but also lose relevance just as quickly.
Marketing is no longer about campaigns; it is about continuous participation in culture.
The new rule: Visibility beats shelf space.
10. Trust, provenance and local relevance
In many regions — particularly MENA — consumers place growing emphasis on halal integrity, traceability, local sourcing and family trust.
Global brands must feel local, authentic and accountable.
The new rule: Trust is the ultimate differentiator.
Additionally
Trends specific to consumers in the MENA region are
11. Halal as a trust architecture, not a badge
Across MENA, halal has evolved from a regulatory requirement into a trust systemencompassing sourcing, processing, logistics, ethics and transparency. Consumers increasingly expect halal to signal purity, safety and integrity — not just permissibility.
Digital traceability, ingredient disclosure and visible governance are becoming as important as the logo itself, particularly for families and premium buyers.
The new rule: Halal is a brand promise, not a stamp.
12. Premium gifting, hospitality and seasonal peaks
Food plays a central role in hospitality, religious observance and social status across MENA. Ramadan, Eid, weddings, family gatherings and guest hosting create predictable premium spikes, where consumers are willing to trade up on quality, presentation and provenance.
Packaging, format and story often matter as much as taste.
The new rule: In MENA, premium is often occasion-based, not everyday.
13. Imported brand fatigue and regional pride
After years of aspirational imported brands, there is growing enthusiasm for high-quality regional and locally rooted food brands. Consumers increasingly value products that reflect local tastes, traditions and ingredients — provided they meet modern standards of quality and design.
Local no longer means lower-quality; it means more relevant.
The new rule: “Made here” is becoming a premium cue.
14. Convenience without compromise for families
Urbanisation and rising dual-income households are increasing demand for convenience, but MENA consumers are reluctant to sacrifice family meals, freshness or cultural relevance.
The fastest growth is in semi-prepared, premium convenience — sauces, oils, bases and ready components that enable home cooking with less effort.
The new rule: Convenience must still feel homemade.
15. Youth-led digital food culture and rapid switching
MENA has one of the world’s youngest populations, with high social media usage and strong openness to novelty. Discovery increasingly happens through influencers, short-form video and peer recommendation, driving fast trial and fast switching.
Brand loyalty exists — but must be continuously re-earned.
The new rule: Relevance decays quickly without digital presence.
How premium brands can respond to price pressure
Trading down is structural and persistent. Private labels and low-cost alternatives continue to capture share, and this is particularly evident in staple categories. Successful premium brands do not fight this trend head-on; they design around it.
Nestlé: Precision premium through segmentation Nestlé has created a multi-tiered portfolio that separates accessible everyday nutrition from high-value offerings. Premium is not decorative; it is structural. Brands such as Nestlé Health Science justify their higher price points through scientific validation, clear outcomes, and ecosystem innovation. This segmentation ensures that premium does not cannibalise volume while remaining relevant and aspirational.
Danone: Health outcomes as a premium moat In functional dairy and gut-health categories, Danone leverages science and medical credibility to defend premium. Gut health, immunity, and overall wellbeing create a functional moat, making products less substitutable with private labels. Here, premium is not just about taste or packaging; it is about delivering verifiable, meaningful outcomes.
Arla: Trust and provenance as differentiators Arla’s cooperative model, farmer ownership, and radical transparency turn provenance into a premium asset. Integrity, traceability, and governance are harder to copy than packaging or flavour. By investing in trust and operational excellence, Arla makes premium substitution costly and undesirable.
Heinz Gourmet: Premium through taste and provenance Heinz Gourmet sauces and condiments differentiate through refined recipes, natural ingredients, and heritage-driven branding. By highlighting superior taste, authentic sourcing, and occasional-luxury positioning (e.g., truffle ketchup, artisanal sauces), Heinz makes substitution with standard supermarket ketchup or private-label sauces less compelling. Premium is maintained by combining quality, provenance, and sensory distinction.
Cook: Premium through craftsmanship and provenance The UK premium frozen‑meal brand, defends its position through chef-led preparation, high-quality ingredients, and authentic “cooked-from-scratch” experiences. Each dish emphasizes provenance, with locally sourced produce and high-welfare meat, while the chef responsible is named on the packaging, reinforcing care and authenticity. Ethical credentials, including B Corp certification and Living Wage practices, add trust and differentiation.
Kikkoman: Premium through authenticity and culinary trust Kikkoman defends premium in soy sauce and seasonings by emphasising traditional brewing methods, ingredient quality, and global culinary credibility. Its naturally fermented sauces are positioned as the reference standard in kitchens worldwide, relying on heritage, consistency, and performance outcomes in cooking. This deep technical trust — chefs and home cooks alike — makes low‑cost substitutes feel inferior, reinforcing premium through habitual use and expertise rather than price alone.
Nespresso: Premium through experience and ecosystem Nespresso defends its premium positioning not through the coffee itself alone, but through a carefully curated ecosystem and consumer experience. By combining high-quality coffee capsules, precision machines, exclusive boutiques, and a subscription model, Nespresso turns brewing into a ritualised, consistent, and aspirational experience. Brand storytelling, barista-level expertise, and recycling initiatives reinforce both trust and sustainability, making low-cost alternatives less appealing. Premium is earned through convenience, consistency, and lifestyle integration rather than price, demonstrating how structural and experiential differentiation can protect and grow a premium brand even amid trading-down pressures.
Across these brands, five patterns consistently emerge:
Premium must be functional or emotional — not symbolic.
Occasion-based premium is more resilient than everyday luxury.
Trust, science, and provenance are harder to copy than product features.
Smart format and pack architecture protects accessibility without dilution.
By embedding these principles, brands are able to protect premium positions even as consumers trade down, creating resilient, sustainable growth.
Inspiration from other sectors
Premium pressure is not unique to food. Lessons from adjacent sectors — beverages, fashion, personal care, and health — show that premium survives when it is experienced, habitual, trusted, and differentiated, not merely marketed.
Yakult: Habit and science as defence Yakult leverages proprietary probiotic strains, scientific validation, and daily consumption rituals to make premium habitual. The combination of functional outcomes and consistent usage protects the brand from low-cost competitors, demonstrating the power of routine and credibility in defending premium.
Illy Coffee: Quality and ritual as premium defence Illy Coffee maintains premium through quality, provenance, and experiential consistency. Meticulous sourcing, expert roasting, and iconic design ensure that every cup delivers a reliable sensory experience. Rituals around brewing, tasting, and cafe experiences make premium habitual, while the combination of provenance and repeatable quality reduces substitutability with lower-cost coffees. Premium is experienced, trusted, and repeatable, not merely symbolic.
Uniqlo: Premium defined by usefulness In apparel, Uniqlo has redefined premium around utility. Fabric innovation, functional design, and consistency create everyday relevance. Premium is earned through reliability and performance rather than status or trendiness. Consumers buy trust and practicality, which reduces susceptibility to short-term discounting or competitive novelty.
H&M Studio: Premium through design and exclusivity H&M Studio, the brand’s high-end seasonal line, elevates fashion beyond mass-market basics by offering limited-edition collections, high-quality materials, and design-forward aesthetics. By creating scarcity, storytelling, and aspirational yet accessible fashion, H&M Studio allows consumers to trade down on everyday items without abandoning the brand entirely. Premium is defended through curation, design credibility, and experience, rather than relying solely on price.
L’Oréal: Evidence-based premium L’Oréal exemplifies scientific credibility as a lever for premium. Across a multi-tiered portfolio, the company maintains luxury and mass offerings without diluting brand meaning. Products are premium because they deliver measurable results, reinforcing that outcomes can underpin pricing and loyalty more effectively than image alone. It has reframed as a beauty-tech company, with many innovations beyond products, such as personalisation tools and applicators.
On Running: Performance and innovation as premium justification Swiss sportswear company On has built a premium brand by prioritising technical innovation and athletic performance, and using assets like Roger Federer and Zendaya. Proprietary cushioning technology, biomechanical design, and consistent performance across conditions create habitual usage and loyalty. Premium is anchored in functional outcomes rather than fashion or trendiness, allowing the brand to maintain pricing and relevance even as competitors offer cheaper alternatives.
Dyson: Engineering and outcomes as premium defence Dyson defends its premium position through patented engineering, design innovation, and measurable performance outcomes. Across vacuum cleaners, hair care, and air purifiers, the brand focuses on tangible benefits — suction power, airflow efficiency, and durability — rather than image alone. Consumers pay for demonstrable results, not status, which protects Dyson from low-cost competitors and reinforces loyalty through trust in technology and innovation.
Across categories and regions, premium brands that survive pressure:
Redefine premium — they do not simply defend it.
Build moats that are hard to copy (trust, technology, culture, ecosystems).
Segment access without diluting meaning.
Create rituals, habits, and emotional bonds.
Resist short-term discount logic.
For food companies, the implication is clear: premium must be earned through experience, outcomes, and habit, not merely inherited from legacy or aspiration.
Premium brands need new thinking
To thrive in the face of strategic frugality, food companies must think radically and act systemically. Beyond conventional measures, there are six game-changing strategies that executives should consider.
Redefine premium around outcomes, not ingredients Health, family wellbeing, preventative nutrition, and functional benefits are the real premium. This shifts the conversation from price or decoration to meaningful impact, ensuring that products are indispensable to consumers’ lives.
Design occasion-led premium, especially in MENA Premium moments are often occasion-based: Ramadan, Eid, family gatherings, gifting, and hospitality. Structuring premium offers around these predictable high-value moments maximises willingness to pay while reinforcing brand relevance.
Architect smart value in parallel Controlled partnerships with private labels, tiered brands, or value-focused extensions protect accessibility without diluting premium meaning. Brands can participate in lower tiers while preserving structural premium elsewhere.
Additional radical ideas
AI-Driven Personalization at Scale Tailor meals, ingredients, and functional foods to individual or household preferences using AI and data. This creates hyper-relevant products, reduces waste, strengthens loyalty, and justifies premium pricing.
Premium Ecosystem Subscription Move from selling products to offering curated lifestyle experiences — combining meals, wellness content, and occasion-based services through subscriptions. This approach builds emotional bonds, recurring revenue, and positions premium as ongoing value rather than a single transaction.
Ingredient-to-Table Transparency with Blockchain Provide end-to-end traceability of sourcing, sustainability, and ethical practices visible to consumers in real time. This strengthens trust, defends against private label substitution, and enables premium pricing tied to verifiable impact.
Together, these approaches represent a leap from product-centricity to system-wide value creation, blending technology, trust, and experience into the very definition of premium.
From products to possibility
The era of comfortable premium is over. Trading down is structural, competition is relentless, and consumers will not pay for symbolism alone. Food companies that cling to old definitions of premium — defending price points, relying on heritage, or cutting across all categories indiscriminately — will see relevance and margins erode.
Stop doing:
Defending price points without rethinking what consumers actually value.
Treating premium as decorative or aspirational rather than functional and emotional.
Applying one-size-fits-all strategies across portfolios, markets, and occasions.
Discounting aggressively to chase short-term volume at the expense of trust and differentiation.
Start doing:
Redefine premium around outcomes, trust, and experience. Consumers must feel the difference in health, convenience, ritual, or sustainability.
Build moats that are hard to copy: science, technology, provenance, and ecosystem-driven experiences.
Segment access strategically, offering multiple tiers without diluting the meaning of premium.
Create rituals, habits, and emotional bonds that embed your brand in daily life.
Leverage data, AI, and digital tools to personalise offerings, reduce waste, and reinforce relevance.
Design products as part of a living system, where each interaction, moment, and occasion strengthens premium credibility.
The companies that act boldly will stop defending yesterday’s definitions of value and start shaping tomorrow’s market. Premium is no longer an entitlement — it is an earned, lived, and measurable experience.
“In dynamic markets, the future will belong to those who stop defending, and start inventing value at every level.”
10 innovators reinventing food
These companies are not just innovative — they are commercially successful, reshaping categories and expectations.
1. NotCo … Reinventing food with AI
Origin and evolution NotCo was founded in Santiago, Chile, in 2015 by a technologist, a food scientist and a brand builder who shared a provocative idea: food formulation could be radically improved if humans stopped relying solely on intuition and tradition. Instead of starting with ingredients, NotCo started with data. They built an AI platform — nicknamed “Giuseppe” — capable of analysing molecular structures, flavour compounds and consumer preferences to design plant-based foods that mimic animal products.
What they do differently Rather than marketing plant-based food as an ethical compromise, NotCo focuses obsessively on taste, texture and familiarity. Their products — such as NotMilk, NotMayo and NotBurger — are designed to be direct replacements for everyday staples. AI allows the company to test thousands of ingredient combinations rapidly, dramatically shortening development cycles and improving sensory performance.
Commercial success and scaling NotCo has raised hundreds of millions of dollars and expanded far beyond Latin America into North America and Europe. Crucially, it has partnered with major global food companies, using its AI engine to reformulate existing products — including dairy and ice cream — rather than positioning itself purely as a challenger brand.
Why it matters NotCo demonstrates that the future of food innovation may be computational. It shows how AI can unlock scale, speed and consistency — turning plant-based from a niche ideology into a mainstream solution. For large food groups, it offers a blueprint for how technology can augment, rather than replace, industrial food systems.
2. Meati … Whole-food protein without compromise
Origin and evolution Meati was founded in Colorado, drawing inspiration from traditional fermentation and the natural structure of fungi. Instead of isolating proteins and rebuilding them through heavy processing, Meati grows mycelium — the root structure of mushrooms — in controlled environments to create whole-food protein.
What they do differently The company’s approach stands in contrast to earlier generations of alternative proteins. Meati products are minimally processed, naturally fibrous and nutritionally dense, containing complete protein, fibre and micronutrients. They are positioned not as substitutes, but as a new category of protein altogether.
Commercial success and scaling Meati has attracted significant investment and experienced rapid growth in consumer awareness and retail distribution. Its products appeal not only to vegans but to mainstream consumers seeking healthier, less processed foods. The brand has gained traction in both retail and foodservice, accelerating trial.
Why it matters Meati signals a shift away from ultra-processed alternatives towards biologically inspired food. It suggests that the future of protein innovation may lie in working with nature more intelligently, rather than engineering around it — a powerful idea for both consumers and regulators.
3. Tru Fru … Making health indulgent again
Origin and evolution Tru Fru was founded in the USA to address a gap in the snacking landscape: the binary choice between indulgent treats and purely healthy options. The founders’ idea was deceptively simple — real fruit, lightly processed, coated in chocolate, yoghurt or freeze-dried for freshness. By bridging this divide, Tru Fru created a category of “health-forward indulgence” that appealed to children, adults, and health-conscious consumers alike. The brand emerged at a moment when consumers were increasingly seeking snacks that delivered both pleasure and nutritional reassurance.
What they do differently Tru Fru distinguishes itself through a combination of clean ingredients and playful indulgence. Its products are visually appealing, portion-controlled, and approachable, making them feel like everyday treats rather than niche health foods. Branding is bold, modern and inclusive, emphasising fun and quality without moralising. The company also invests in flexible formats — from single-serve options to family packs — to meet multiple consumption occasions.
Commercial success and scaling Revenue growth has been extraordinary, with repeat purchase rates demonstrating strong consumer loyalty. Distribution spans grocery chains, specialty retailers, and online channels, allowing the brand to scale nationally while maintaining a premium feel. Tru Fru’s success demonstrates that simplicity, when combined with strong branding and clear value, can outperform more complex product innovations in crowded snack categories.
Why it matters Tru Fru shows that “better-for-you” doesn’t need scientific jargon or functional claims to resonate. It highlights the enduring power of intuitive value propositions, particularly when health and indulgence are combined seamlessly. For brands, it underscores the importance of making nutritious options emotionally and culturally compelling.
4. FieldGoods … Elevating ready meals to restaurant quality
Origin and evolution FieldGoods, from Australia, was launched with the mission of challenging the perception that convenience food must compromise on quality. Drawing inspiration from fine-dining kitchens, the founders focused on seasonal ingredients, chef-driven recipes, and sustainable sourcing practices. The brand aimed to transform ready meals from mundane pantry staples into premium, restaurant-quality experiences that could fit into busy modern lifestyles.
What they do differently FieldGoods pays meticulous attention to every touchpoint — from recipe development to packaging design. Meals are crafted to feel freshly prepared rather than mass-produced, with premium ingredients and authentic flavours. The brand also emphasises sustainability and transparency, ensuring sourcing practices and ingredient quality align with the values of its target consumers.
Commercial success and scaling FieldGoods has consistently delivered strong year-on-year growth and secured listings with high-end retailers. Its products command a price premium justified by quality, convenience and ethical sourcing. The success of the brand demonstrates that consumers are willing to pay more for convenience when it is paired with a sense of craftsmanship and trust.
Why it matters FieldGoods represents the premiumisation of time. In an era of increasingly busy lifestyles, convenience itself has become a luxury. The brand highlights how ready meals can be repositioned from utilitarian solutions to aspirational, value-driven offerings.
5. DASH Water … Turning waste into brand equity
Origin and evolution DASH Water was founded in the United Kingdom to tackle two challenges simultaneously: reducing sugary drink consumption and addressing food waste. The brand uses surplus and “wonky” fruit — often rejected by conventional retail — to flavour sparkling water, turning ingredients that would otherwise be discarded into a central product proposition.
What they do differently Sustainability is embedded into the product and brand DNA rather than being an afterthought. DASH positions upcycled ingredients as aspirational, playful, and desirable, making environmental responsibility both accessible and culturally appealing. Its branding combines transparency, humour, and clarity to create a compelling narrative that resonates with environmentally conscious consumers.
Commercial success and scaling DASH has experienced rapid growth and wide distribution in the UK and beyond, becoming a recognised name in a competitive beverage market. Its B Corp certification reinforces credibility, building trust among premium-conscious consumers who care about ethical and sustainable consumption.
Why it matters DASH proves that sustainability can drive commercial performance. By reframing food waste as an opportunity for innovation and differentiation, the brand illustrates that environmental responsibility can become a strategic growth lever rather than a compliance exercise.
6. Olipop ... Reinventing soft drinks for the gut-health age
Origin and evolution Olipop was founded out of frustration with traditional soft drinks and early functional beverages that lacked mainstream appeal. The founders sought to reimagine soda as a functional, gut-friendly option by combining prebiotics, botanical extracts, and nostalgic flavours. The idea was to deliver both health benefits and the familiar sensory pleasures of classic sodas.
What they do differently Olipop maintains the emotional and taste cues of traditional soda while providing tangible nutritional benefits. Its product positioning bridges wellness and enjoyment, making functional beverages appealing to consumers who might otherwise avoid health-forward drinks. Packaging, messaging, and product innovation all emphasise modern, approachable health without alienating mainstream audiences.
Commercial success and scaling The brand is among the fastest-growing beverages globally, with strong retail presence in North America and e-commerce channels. It has achieved near-unicorn valuation territory, reflecting strong investor confidence and market traction.
Why it matters Olipop illustrates how legacy categories can be revitalised by integrating science with emotional resonance. It demonstrates that even well-established markets like soda can be disrupted when health and nostalgia converge.
7. Banza … Disrupting the middle of the aisle
Origin and evolution Founded by young entrepreneurs in the United States, Banza was created to address the nutritional shortcomings of staple foods like pasta. The founders sought to deliver a product that improved health without asking consumers to change familiar cooking or eating habits, using chickpeas as the primary ingredient.
What they do differently Banza combines higher protein and fibre content with the taste, texture, and cooking experience of traditional pasta. The brand positions itself as approachable and fun rather than preachy, making nutritional enhancement feel natural rather than forced. Packaging, marketing, and messaging reinforce accessibility and everyday use.
Commercial success and scaling Banza has become one of the largest pasta brands in the United States, with national retail presence and strong consumer loyalty. Its success demonstrates that health-focused innovation can thrive in conventional categories without requiring significant behavioural shifts.
Why it matters Banza shows that transformation does not always require dramatic lifestyle changes. Instead, incremental improvements, smart ingredient choices, and relatable branding can shift the market from within.
8. Infinite Roots … Scaling through foodservice first
Origin and evolution Germany’s Infinite Roots originated in Europe’s alternative protein ecosystem with a deliberate focus on foodservice rather than retail. The founders recognised that chefs could act as early adopters and taste influencers, accelerating the acceptance of plant-based protein formats that were unfamiliar to everyday consumers.
What they do differently By targeting professional kitchens first, Infinite Roots ensured high-quality execution and rapid feedback loops. Foodservice acted as a credibility engine, allowing the brand to perfect formulations and build trust before entering mass retail channels.
Commercial success and scaling The company’s products have been rapidly adopted across hospitality networks, creating momentum for broader retail expansion. Partnerships with premium restaurants and institutional buyers have established a strong foundation for growth.
Why it matters Infinite Roots illustrates how channel strategy can accelerate adoption of innovative products. Targeting chefs and foodservice operators first can reduce consumer risk perception, build trust, and validate premium positioning.
9. Revo Foods and Juicy Marbles … Reinventing seafood alternatives
Origin and evolution Revo Foods and Juicy Marbles joined forces in Germany to tackle one of the most challenging protein categories: seafood. The collaboration combined advanced plant-protein structuring, flavour science, and 3D technology to recreate fish fillets with realistic texture, taste, and nutritional profiles.
What they do differently Unlike most plant-based brands focused on burgers or mince, this partnership prioritises whole-cut experiences. The products are positioned as premium, sustainable alternatives suitable for restaurants and retail consumers who value authenticity and culinary performance.
Commercial success and scaling Early adoption in European markets has highlighted strong demand for sophisticated, category-expanding alternatives. The collaboration has generated investor interest and has set the stage for future expansion into new markets and species.
Why it matters Revo Foods and Juicy Marbles push the boundaries of plant-based innovation, demonstrating that alternative proteins can move beyond simple meat replacements into complex, premium dining experiences.
10. Coccola … Transforming a beverage idea
Origin and evolution Coccola emerged in 2025 as part of the next wave of food and beverage startups recognised at the World Food Innovation Awards. Founded by a team of Italian entrepreneurs with backgrounds in food science, branding, and sustainability, Coccola was conceived to address three simultaneous market gaps: the need for distinctive functional beverages, the growing consumer demand for sustainability, and the desire for playful, experiential brands.
The company started small, experimenting with unique flavour combinations and functional ingredients that could be positioned as both health-forward and indulgent. Coccola combined innovation in formulation with bold visual branding, creating products that stood out on crowded shelves and social media feeds.
What they do differently Coccola’s innovation is multifaceted. First, it uses functional ingredients — such as botanicals, prebiotics, and adaptogens — but integrates them into beverages that feel fun and indulgent rather than clinical or medicinal. Second, it focuses heavily on brand experience: colourful, distinctive packaging, interactive marketing campaigns, and social-first storytelling. Third, sustainability is embedded into operations: ingredients are sourced responsibly, packaging is recyclable or plant-based, and supply chains are designed for transparency and minimal environmental impact.
The company also experiments with limited editions and collaborations, creating scarcity and excitement while testing new flavours or formats. This approach leverages both FOMO and social media-driven discovery, appealing to younger, digitally native consumers.
Commercial success and scaling Although still early-stage, Coccola has achieved rapid growth and recognition. Its products are now stocked in select premium retailers and online platforms across Europe, generating significant consumer buzz and media attention. Winning the World Food Innovation Award has amplified its profile, opening doors for distribution partnerships and investor interest. The brand demonstrates how a small, agile company can punch above its weight by combining taste innovation, strong storytelling, and sustainability.
Why it matters Coccola exemplifies the modern principles of food and beverage innovation: functional benefits, emotional engagement, and purpose-driven operations. It shows that new entrants can compete with established brands by creating differentiated experiences that resonate with both health-conscious and trend-sensitive consumers. For the industry, Coccola highlights that innovation is now as much about narrative and design as it is about formulation — and that small brands can scale rapidly by aligning product, brand, and social purpose.
Additionally
5 food innovative specifically from MENA are
11. Almarai … Industrial-scale food excellence
Origin and evolution Founded in Saudi Arabia in the late 1970s, Almarai began as a dairy company serving a region with limited fresh food infrastructure. From the outset, its ambition was unusual: to build a vertically integrated, world-class food system in one of the most challenging climates on earth.
Over decades, Almarai invested heavily in farming, logistics, cold chains, processing and quality control — creating one of the largest and most sophisticated dairy operations globally.
What they do differently Almarai’s innovation is not about novelty products, but system-level excellence. Few food companies anywhere control the full value chain at such scale. This enables unmatched consistency, food safety, traceability and trust — critical in a family-oriented, health-conscious region.
In recent years, Almarai has expanded beyond dairy into bakery, poultry, juices and infant nutrition, applying the same operational discipline and brand trust to new categories.
Commercial success and scaling Almarai is one of the Middle East’s most valuable and profitable food companies, with strong brand loyalty across GCC markets. Its scale, margins and resilience during periods of disruption underline the commercial power of infrastructure-led innovation.
Why it matters Almarai demonstrates that in MENA, trust, reliability and quality at scale are among the most powerful forms of innovation. It shows how food systems — not just products — can become a competitive advantage.
12. Pure Harvest Smart Farms … Reinventing agri for arid regions
Origin and evolution Pure Harvest was founded in the UAE with a bold premise: that fresh, high-quality produce could be grown locally in desert climates using advanced controlled-environment agriculture.
The company combines climate-controlled greenhouses, data-driven growing systems and sustainable practices to produce fruits and vegetables year-round, closer to consumers.
What they do differently Pure Harvest tackles one of MENA’s greatest structural challenges — food security — through technology rather than imports. By controlling temperature, humidity and water use, it dramatically reduces environmental impact while improving quality and shelf life. The brand positions local produce not as a compromise, but as premium, fresher and more reliable.
Commercial success and scaling Pure Harvest has raised significant investment and expanded across the region, supplying major retailers and foodservice operators. Its products command premium pricing based on freshness, sustainability and local provenance.
Why it matters Pure Harvest represents the future of regional food resilience. It shows how agritech can turn geographical constraints into strategic advantages — and how “grown here” can become a premium proposition.
13. Kitopi … Reimagining food brands through platforms
Origin and evolution Founded in Dubai, Kitopi began as a cloud kitchen platform enabling restaurants to expand without owning kitchens. Over time, it evolved into a broader food enablement ecosystem — supporting brand development, operations, logistics and even proprietary food brands.
What they do differently Kitopi applies platform thinking to food. It decouples brand, kitchen and location, allowing concepts to scale rapidly across cities and countries. Increasingly, it uses data to optimise menus, pricing and formats — turning food brands into adaptable assets.
Kitopi has also launched and acquired its own food brands, moving from infrastructure provider to food brand creator.
Commercial success and scaling The company has expanded across the GCC and into Europe, partnering with global restaurant brands while building its own portfolio. It has attracted significant funding and achieved strong operational scale.
Why it matters Kitopi shows how food innovation in MENA is increasingly digital and platform-led. It challenges the idea that food companies must start with farms or factories — and highlights how data, speed and asset-light models can reshape food economics.
14. Barakat … Freshness, health and local relevance
Origin and evolution Barakat was founded in the UAE as a fresh produce and juice company focused on quality, hygiene and accessibility. In a market dominated by imports, Barakat built a reputation for freshness and reliability.
Over time, the brand expanded into juices, cut fruit, salads and ready-to-consume healthy options.
What they do differently Barakat operates at the intersection of health, convenience and trust. Its products feel fresh, local and family-friendly, without the premium pricing of imported wellness brands.
The company continuously adapts formats to modern lifestyles — from grab-and-go to family packs — while maintaining a strong focus on quality and food safety.
Commercial success and scaling Barakat is widely distributed across retail, hospitality and institutional channels, with strong brand recognition in the UAE. Its growth reflects rising demand for fresh, healthy convenience.
Why it matters Barakat illustrates how everyday health can scale in MENA. It shows that wellness does not always need global branding or complex science — sometimes it needs proximity, consistency and cultural fit.
15. Al Islami Foods … Modernising halal for a new generation
Origin and evolution Al Islami Foods was founded in the UAE with a mission to modernise halal food — combining strict compliance with innovation, transparency and contemporary branding.
The company operates across poultry, meat and prepared foods, serving both retail and foodservice markets.
What they do differently Al Islami treats halal as a total value proposition, not just a requirement. It invests heavily in governance, traceability and communication, helping consumers understand not only that food is halal, but how and why.
The brand also innovates in convenience formats and prepared foods, aligning traditional trust with modern lifestyles.
Commercial success and scaling Al Islami has built strong brand equity across GCC markets, particularly among families seeking reassurance, quality and ethical alignment.
Why it matters Al Islami shows how halal can be elevated from compliance to brand differentiation. As consumers demand greater transparency and ethics, this approach positions halal brands for premiumisation rather than commoditisation.
What it means for food companies
Across these trends and innovators, five lessons stand out:
Premium must be justified — continuously
Technology is becoming a core food capability
Health and sustainability drive growth, not trade-offs
Speed and experimentation beat perfection
Trust and relevance are deeply local
For diversified food groups, the opportunity lies not in choosing one path, but in orchestrating a portfolio — value where it matters, premium where it pays, innovation where it differentiates.
Specifically for MENA region, a distinctive pattern:
Trust beats novelty
Occasions drive margin
Local relevance amplifies premium
Convenience must respect culture
Youth shapes the future faster than institutions
For food groups operating in MENA, success will not come from simply importing global strategies. It will come from translating global innovation into regional meaning — aligning modern health, sustainability and digital behaviours with deeply rooted cultural norms.
From products to possibility
The next chapter of food will not be written by those who defend yesterday’s categories, but by those who reimagine what food is for — nourishment, prevention, pleasure, identity and impact.
The most successful food companies will behave less like manufacturers and more like curators of value — balancing price and purpose, scale and specificity, tradition and transformation.
Food has always fed the world. Now it must also earn trust, inspire choice and justify its place in a rapidly changing life.
That is the real reinvention underway, and it is only just beginning.
This week, many of the world’s business leaders are meeting in Davos, Switzerland. It’s a carnival of walking boots and super-padded coats, where business leaders meet, politicians like to be seen, and consultants dominate, trying to sell their next projects. The World Economic Forum’s agenda this year is shaped by a familiar yet intensifying set of forces: accelerating AI, the climate transition, geopolitical fragmentation, slowing productivity, declining trust, and the urgent search for new engines of growth.
These are not marginal issues. They are reshaping economies, societies and markets simultaneously.
And yet, there is a growing disconnect between the scale of the challenges discussed in Davos and the depth of change most organisations are prepared to make within themselves. Leaders talk convincingly about transformation, but far fewer are willing to confront the more uncomfortable question: whether the way their organisation creates value is still fit for the future they describe.
The greatest risk facing leaders today is not disruption itself, but the persistence of business models, operating systems and leadership assumptions that belong to another era.
You cannot create the future with yesterday’s business model.
The danger of incrementalism
The WEF agenda rightly emphasises resilience, responsibility and renewal. But too often the implicit solution is incremental improvement: more efficient processes, better reporting, smarter deployment of new technologies within largely unchanged structures.
AI is framed as a productivity lever rather than an organisational redesign challenge. Sustainability is discussed as risk management rather than market creation. Trust is treated as an external societal issue, rather than as something shaped by corporate incentives, behaviours and time horizons.
This incrementalism is understandable. Radical reinvention is uncomfortable, politically difficult, and disruptive to existing power structures. But it is also increasingly inadequate.
Many organisations represented in Davos remain profitable, even dominant, while quietly losing relevance. They are optimising performance within models whose underlying logic is decaying. The danger is not collapse, but slow erosion — of trust, talent, differentiation and long-term value.
The great shifts in where and how value is created
To understand why reinvention is now unavoidable, leaders must first confront a series of profound shifts in how value is created, captured and sustained.
1. From tangible assets to intangible advantage
In the industrial economy, value flowed from physical assets: plants, equipment, distribution networks and scale. Today, the most decisive assets are intangible: brands, data, algorithms, culture, ecosystems, intellectual property and trust.
Consider Microsoft, which has reinvented itself not through ownership of infrastructure, but through cloud platforms, developer ecosystems and AI-enabled services. Its resurgence has been driven less by physical assets than by its ability to orchestrate software, data and partnerships at global scale.
Or Hermès, whose market value far exceeds what its physical assets alone could justify. Its true advantage lies in brand equity, craftsmanship narratives, scarcity discipline and cultural relevance — assets that do not appear on a balance sheet but drive extraordinary long-term returns.
Leaders who continue to manage primarily for tangible efficiency risk neglecting the assets that now matter most.
2. From products tooutcomes
Value has also shifted decisively away from standalone products towards integrated experiences and outcomes.
Nespresso did not win by selling better coffee machines. It built an ecosystem around coffee moments — capsules, boutiques, subscriptions, storytelling and rituals — turning a commodity into a premium experience.
In healthcare, Philips has moved from selling medical equipment to providing outcome-based health solutions, combining devices, data and services to improve patient care and hospital performance.
The lesson is clear: customers no longer buy what companies make. They buy what companies enable. Organisations that remain product-centric risk becoming interchangeable.
3. From efficiency to adaptability
Efficiency was once the ultimate measure of managerial excellence. In a stable world, it worked. In a volatile one, it can be fatal.
Toyota, long admired for operational excellence, has increasingly complemented efficiency with adaptability — investing in software, electrification and new mobility models while retaining its production strengths.
Meanwhile, companies like Shopify have built adaptability into their DNA, enabling rapid experimentation, partner-driven innovation and continuous evolution of their platform as merchant needs change.
The most resilient organisations today are not the leanest, but the fastest learners.
4. From competition to ecosystems
No organisation can address today’s challenges alone. Value creation is increasingly distributed across networks of partners, platforms and collaborators.
ASML is a powerful example. Its dominance in advanced lithography is not the result of isolated brilliance, but of a tightly orchestrated ecosystem involving suppliers, research institutions and customers across continents. Its competitive advantage is systemic, not individual.
In energy and mobility, BYD illustrates how ecosystem thinking can reshape entire industries. What began as a battery manufacturer has evolved into a vertically integrated platform spanning electric vehicles, energy storage, grid solutions and urban mobility. BYD’s advantage lies not in a single product, but in its ability to integrate technologies, supply chains and policy alignment into a coherent system — allowing it to scale faster and more resiliently than competitors dependent on fragmented partners.
Leadership now involves orchestration as much as competition.
5. From strategy as a plan to strategy as a capability
Perhaps the most profound shift is in the nature of strategy itself.
In an era of constant disruption, strategy cannot be a static plan. It must be a continuous capability: sensing weak signals, experimenting, learning and reallocating resources dynamically.
Amazon exemplifies this approach. It treats strategy as a portfolio of bets across multiple horizons, willingly cannibalising its own businesses in pursuit of future relevance.
A second, equally powerful example is Tencent, whose success has been built on strategy as an adaptive system rather than a predetermined roadmap. Rather than betting on a single dominant business model, Tencent has continually evolved through a portfolio of platforms — from gaming and social networks to payments, cloud services and enterprise software. Its strategic strength lies in sensing shifts in user behaviour, technology and regulation, and rapidly reallocating capital and talent across opportunities. Through its extensive minority investment portfolio, Tencent has effectively outsourced experimentation to the market, learning quickly and scaling selectively. Strategy, in Tencent’s case, is not a plan agreed annually, but an ongoing process of discovery, adaptation and orchestration.
Organisations that cling to annual strategy cycles risk falling behind realities that change monthly.
Overall, reinvention as a permanent leadership responsibility
These value shifts demand a fundamental redefinition of leadership. Reinvention can no longer be delegated to innovation units or triggered only by crisis. It must become a permanent responsibility of the top team and the board.
The critical question is not whether reinvention is needed, but whether organisations are structurally capable of it.
5 priorities for action for business leaders
If Davos is to be more than a forum for eloquent diagnosis, leaders must translate these insights into action. Five priorities stand out.
1. Redefine what success truly means
Financial metrics remain essential, but they are lagging indicators in a world where value is increasingly intangible. Leaders must broaden their definition of success to include relevance, trust, learning speed, ecosystem strength and long-term resilience.
This requires courage. It means challenging boards and investors to look beyond quarterly results and engage with indicators that better reflect future value creation. It also means aligning incentives with long-term outcomes rather than short-term optimisation.
What organisations choose to measure sends a powerful signal about what they truly value.
2. Build reinvention into the operating model
Reinvention cannot survive as a side project. It must be embedded into governance, resource allocation and leadership routines.
This means creating space for experimentation, accepting intelligent failure, and managing a portfolio of initiatives across multiple horizons. It means deliberately allocating resources away from declining models towards emerging opportunities — even when the former remain profitable.
Companies like DSM have shown how disciplined portfolio management and a willingness to exit legacy businesses can unlock new growth in health, nutrition and sustainability-driven markets.
3. Treat AI as a new organisational architecture
The true potential of AI lies not in automation, but in augmentation and redesign.
Leaders must rethink how decisions are made, how knowledge flows, and how human judgement and machine intelligence combine. This may involve flattening hierarchies, decentralising authority, and empowering teams with real-time insights.
The organisations that win will not simply deploy AI faster; they will become fundamentally more intelligent.
4. Turn sustainability into a platform for growth
Sustainability should not sit alongside strategy; it should shape it.
Companies such as Schneider Electric have demonstrated how energy efficiency, digitalisation and sustainability can reinforce each other, driving growth while reducing environmental impact.
Leaders must challenge their organisations to use climate and social constraints as sources of innovation, differentiation and new market creation — not merely as compliance obligations.
5. Lead beyond the boundaries of the business
The challenges dominating the Davos agenda — climate, AI governance, inequality, resilience — cannot be solved by individual organisations acting alone.
Leadership today requires collaboration across industries, sectors and borders. It involves shaping markets, setting standards and building ecosystems before regulation forces change.
Those who lead beyond their own balance sheet will shape the future context in which all businesses operate.
Time to step up in Davos
Davos has always been a place of ideas. But ideas alone will not shape the future.
The future will be shaped by leaders willing to confront uncomfortable truths about their own organisations, abandon outdated assumptions about value, and redesign their businesses for a world of permanent change.
The question every leader in Davos should ask is simple, but demanding:
Are you optimising yesterday’s business — or building an organisation capable of reinventing itself again and again?
Because the future cannot be created with yesterday’s business model.
Innovation is no longer episodic. It is continuous, strategic, and existential. The forces reshaping business — artificial intelligence, platform economics, climate transition, demographic shifts, geopolitical fragmentation — are not incremental trends. They are structural changes that redefine how value is created and who captures it.
In this environment, yesterday’s innovation playbooks are no longer sufficient. Leaders need tools that help them see around corners, orchestrate ecosystems, harness intangible assets, and reinvent organisations repeatedly. Many of the most powerful innovation tools now sit at the intersection of technology, strategy, culture, and purpose — not in product development alone.
From Apple to BYD, from Canva to SpaceX, today’s most valuable companies don’t treat innovation as a product feature — they build it into the architecture of their business. They reshape markets, orchestrate ecosystems, and invest ahead of demand. They lead with long-term conviction while delivering short-term performance. Their advantage is not a single breakthrough, but a system for continuously creating what’s next. Innovating “Next Now” is about building that system — strategically, enterprise-wide, and relentlessly focused on future value creation.
Innovating Innovation
Innovation is no longer defined by isolated breakthroughs or linear progress. It is being transformed by speed, scale, and system-wide impact. What once took decades now takes years — sometimes months. AI has collapsed discovery cycles, digital technologies have blurred physical and virtual boundaries, and platforms have enabled innovations to scale globally almost instantly. As a result, innovation today reshapes not just products and services, but entire value chains, institutions, and societies.
Nowhere is this clearer than in AI-enabled drug discovery and development. Companies such as Insilico Medicine are using generative AI and deep learning to identify novel drug targets, design molecules, and predict clinical outcomes in a fraction of the time and cost of traditional pharmaceutical R&D. What once required 10–15 years and billions in investment can now be compressed dramatically, with AI-designed drugs already entering human trials. Innovation here is no longer incremental improvement — it is a fundamental reconfiguration of how science, data, and medicine interact.
At the same time, digital twins are transforming how organisations design, test, and operate complex systems. From manufacturing and energy networks to cities and supply chains, digital twins allow leaders to simulate future scenarios, stress-test decisions, and optimise performance in real time. In logistics and infrastructure, this enables more efficient border crossings, trade flows, and resilience planning — reducing friction, emissions, and risk. Innovation moves from reacting to problems to anticipating and shaping outcomes before they occur.
A new generation of companies exemplifies this shift. Xiaomi has evolved from a smartphone manufacturer into an ecosystem orchestrator, integrating hardware, software, data, and services across smart homes, mobility, and consumer electronics — scaling innovation through platforms rather than products alone. Colossal Biosciences applies advanced genetics, AI, and synthetic biology to de-extinction and biodiversity restoration, reframing innovation as a tool for long-term planetary resilience. These companies are not just innovating faster; they are innovating differently, operating across disciplines, industries, and systems.
Taken together, these examples point to a profound change: innovation has become continuous, convergent, and consequential. It demands new tools, new mindsets, and new forms of leadership — capable of navigating uncertainty, orchestrating ecosystems, and turning accelerating progress into meaningful, sustainable advantage.
Next/Now Innovation: 7 principles for strategic innovation
Over my 35 years in business, innovation has continued to be dominated by the product. My first big job was managing the Concorde brand, where the “product” was just one component in a multi-step customer experience. Indeed the brand itself, or you could say the market – for supersonic travel, LHR to JFK in 3 hours – was an innovation. Product innovation still dominates, largely because of its tangibility. But there is so much more, a wider frame, and a bigger frame to innovate.
The most important insight for leaders today is this: innovation tools do not create advantage — leadership systems do.
The real challenge is making sense of:
Overlapping waves of technological and societal change
Tensions between performance today and progress tomorrow
Fragmented initiatives that never add up to transformation
My “FutureLab” approach addresses this challenge directly. It helps leaders step back from day-to-day pressures to:
Understand the forces shaping the future
Identify where value will shift next
Integrate foresight, strategy, innovation, and execution
Mobilise teams around bold ambition and practical action
In a world defined by uncertainty, the organisations that win will not be those with the most tools — but those with the clearest sense of direction, the courage to reinvent, and the capability to turn future insight into impact.
That is the real work of innovation leadership — and the reason the future belongs to those prepared to design it.
Here are my 7 Principles for innovating “Next Now”, designed for leaders who see innovation not as a function, but as the engine of long-term value creation:
Build enterprise-wide innovation systems
Redesign markets, not just offerings
Lead from the top
Tie innovation directly to value creation
Manage portfolios across time horizons
Institutionalize continuous renewal
Architect for adaptability
1. Innovate thewhole business
Innovation must extend across the entire enterprise, not just products or R&D.
The Ten Types of Innovation framework shows that breakthrough performance often comes from combining innovations across:
Profit model
Network and partnerships
Structure and process
Product performance
Service and customer experience
Brand and engagement
Organizations that innovate across multiple types outperform those focused only on product features. “Next Now” innovators build enterprise-wide capability — not isolated creativity.
Principle: Design innovation as an integrated system that touches every part of how the business creates, delivers, and captures value.
2. Innovate the market
True innovation reshapes how the market works — redefining categories, pricing logic, access, or participation.
Think of:
Netflix reinventing distribution and consumption.
Airbnb redefining asset ownership.
Stripe simplifying digital payments infrastructure.
They didn’t just improve products — they re-architected ecosystems.
Principle: Challenge industry assumptions. Redesign value exchanges. Change the rules of competition.
3. Make innovation a leadership activity
Innovation is not a side initiative — it is how leadership embraces the future.
The CEO and top team must:
Set ambition beyond incremental improvement
Allocate capital deliberately across horizons
Protect long-term bets from short-term pressures
Signal that experimentation is expected, not optional
When innovation is delegated, it becomes incremental. When innovation is led, it becomes transformational.
Principle: Make innovation a visible, measurable leadership priority — owned at the top and embedded across the organization.
4. Anchor innovation in value creation
Innovation is not about novelty. It is about durable value creation.
Investors consistently reward companies with credible innovation strategies. Research (see BCG’s Innovation Index) continually shows that top innovation performers generate superior total shareholder returns over time.
Markets place a premium on:
Strong innovation pipelines
Category-defining growth plays
Scalable platforms
Future-facing capital allocation
Analysts often attribute a significant portion of market valuation to expectations of future growth — meaning innovation capability is priced into enterprise value.
Principle: Manage innovation as a disciplined driver of growth, margin expansion, and long-term enterprise value.
5. Build portfolios that exploit and explore
“Next Now” innovation requires managing across time horizons:
Core (Exploit Now): Improve today’s business model
Adjacent (Expand Next): Scale into near-term growth arenas
Transformational (Create Later): Place bets on future disruption
This portfolio logic — often described in the Three Horizons model — prevents over-optimization of the present at the expense of the future.
High-performing innovators typically allocate meaningful resources (often 20–30% or more) to beyond-core initiatives while maintaining discipline in the core.
Principle: Balance short-term performance with long-term positioning through deliberate innovation portfolio management.
6. Make innovation continuous and progressive
Innovation is not a workshop. Not a hackathon. Not an annual strategy offsite.
It is a repeatable capability built through:
Talent systems that reward curiosity and execution
Governance that funds experiments
Metrics that track learning velocity
Processes that scale what works
Organizations that treat innovation as episodic fall behind. Those that institutionalize it compound advantage.
Principle: Build the structures, incentives, and rhythms that make innovation perpetual.
7. Design for adaptability
Today’s environment is defined by interdependence — technology shifts, geopolitical change, sustainability demands, AI acceleration.
Innovators must design systems that:
Adapt quickly
Leverage ecosystems
Integrate digital and physical experiences
Anticipate regulatory and societal expectations
The future will not reward the strongest product — it will reward the most adaptive business model.
Principle: Architect the organization for resilience and reinvention, not stability and control.
Here’s my curated list of 33 essential innovation tools, reordered to reflect likely impact over the next decade, while still grounded in proven foundations. Together, they form a modern innovation system, not a loose collection of techniques.
1. AI-Augmented Innovation & Co-Creation
Created by: Emerging practice (OpenAI, DeepMind, IDEO, Accenture, 2019– ) What it is: Using generative AI to accelerate ideation, insight generation, scenario building, prototyping, and experimentation. When to use it: To radically compress innovation cycles and scale creativity across the organisation. Free resource:https://www.promptingguide.ai/
Created by: Shell, Institute for the Future; evolved (1970s– ) What it is: A structured way to explore plausible futures and stress-test today’s strategies against uncertainty. When to use it: Long-term strategy, capital allocation, and resilience planning. Free resource:https://www.iftf.org/futures-toolkit/
3. Platform Strategy & Flywheel Models
Created by: Van Alstyne, Moore, Parker; practice-led (2010s) What it is: Designing multi-sided platforms that scale through network effects and ecosystem participation. When to use it: When value shifts from products to orchestration and data. Free resource:https://platformstrategyinstitute.com/resources/
4. Ecosystem Mapping & Orchestration
Created by: BCG, World Economic Forum (2018– ) What it is: Designing value creation across partners, startups, regulators, and customers rather than within firm boundaries. When to use it: Complex challenges such as energy transition, health, mobility, or smart infrastructure. Free resource:https://www.weforum.org/projects/platforms-and-ecosystems/
5. Data-to-Value Innovation
Created by: McKinsey, BCG Gamma, Palantir (2015– ) What it is: Turning proprietary data into new services, products, insights, and business models. When to use it: When data is abundant but under-monetised. Free resource:https://www.mckinsey.com/capabilities/quantumblack/our-insights
6. Continuous Transformation & Reinvention Loops
Created by: Practice-led (Amazon, Microsoft, Haier, 2015– ) What it is: Operating models designed for constant renewal rather than episodic change. When to use it: In fast-moving markets where static strategies fail. Free resource:https://www.mckinsey.com/capabilities/people-and-organizational-performance
7. Circular & Regenerative Innovation
Created by: Ellen MacArthur Foundation (2012– ) What it is: Designing business models that eliminate waste and regenerate economic, social, and environmental value. When to use it: Sustainability-led growth and long-term resilience. Free resource:https://ellenmacarthurfoundation.org/resources
8. Shared Value & Impact Innovation
Created by: Porter & Kramer (2011– ) What it is: Solving societal problems through profitable, scalable business models. When to use it: When growth, legitimacy, and impact must reinforce each other. Free resource:https://www.sharedvalue.org/tools
Strategic Value Creation & Business Reinvention Tools
9. Blue Ocean Strategy
Created by: Kim & Mauborgne (2005) What it is: Creating uncontested market space by redefining value, not out-competing rivals. When to use it: In saturated or commoditised industries. Free resource:https://www.blueoceanstrategy.com/tools/
10. Business Model Canvas
Created by: Osterwalder & Pigneur (2010) What it is: A visual framework for designing and challenging how a business creates and captures value. When to use it: Strategy resets and new venture design. Free resource:https://www.strategyzer.com/canvas/business-model-canvas
11. Value Proposition Design
Created by: Osterwalder & Pigneur (2014) What it is: Structuring customer jobs, pains, and gains to design differentiated offerings. When to use it: Product, service, and experience innovation. Free resource:https://www.strategyzer.com/canvas/value-proposition-canvas
12. Jobs-to-Be-Done (JTBD)
Created by: Clayton Christensen (2016) What it is: Understanding customers by the progress they seek to make. When to use it: When insight needs to go beyond demographics. Free resource:https://jtbd.info/2-steps-to-jtbd-success/
13. Outcome-Driven Innovation (ODI)
Created by: Tony Ulwick (2005) What it is: Quantifying unmet outcomes to prioritise innovation. When to use it: High-stakes or complex innovation decisions. Free resource:https://strategyn.com/jobs-to-be-done/
14. Ten Types of Innovation
Created by: Larry Keeley et al. (2013) What it is: A framework broadening innovation beyond products. When to use it: To expand strategic imagination. Free resource:https://www.doblin.com/ten-types
Scaling, Execution & Risk Management Tools
15. Innovation Portfolio & Capital Allocation Models
Created by: McKinsey, BCG (2010s) What it is: Managing innovation as a portfolio of bets with different risk profiles. When to use it: To avoid over-investing in the core. Free resource:https://www.mckinsey.com/innovation/our-insights
16. Three Horizons Framework
Created by: Baghai, Coley & White (1999) What it is: Balancing performance today with growth tomorrow. When to use it: Long-term strategy and investment decisions. Free resource:https://www.mckinsey.com/featured-insights/three-horizons
17. Build–Measure–Learn (Lean Startup)
Created by: Eric Ries (2011) What it is: Rapid experimentation to reduce uncertainty. When to use it: Early-stage innovation. Free resource:https://leanstartup.co/resources/
18. Metered Assumption Testing
Created by: Rita McGrath & Iain MacMillan (2009) What it is: Testing strategic assumptions before committing capital. When to use it: High-uncertainty growth bets. Free resource:https://www.ritamcgrath.com/tools/
19. Stage-Gate Process
Created by: Robert Cooper (1993) What it is: Structured governance for innovation portfolios. When to use it: Large, complex organisations. Free resource:https://www.stage-gate.com/resources/
20. Zone to Win
Created by: Geoffrey Moore (2015) What it is: Separating core execution from disruptive innovation. When to use it: When legacy systems block growth. Free resource:https://www.geoffreyamoore.com/zone-to-win/
21. Crossing the Chasm
Created by: Geoffrey Moore (1991) What it is: Scaling innovation from early adopters to the mainstream. When to use it: Commercialising breakthrough offerings. Free resource:https://www.crossingthechasm.com/
Leadership, Culture & Foundational Insight Tools
22. Ambidextrous Leadership
Created by: O’Reilly & Tushman (2004– ) What it is: Leading exploitation and exploration simultaneously. When to use it: Transformation at scale. Free resource:https://www.hbs.edu/faculty/
23. Psychological Safety & Learning Culture
Created by: Amy Edmondson (2018) What it is: Creating conditions for experimentation and learning. When to use it: Team-based innovation. Free resource:https://www.hbs.edu/faculty/
24. The Innovator’s DNA
Created by: Dyer, Gregersen & Christensen (2011) What it is: Five discovery skills of innovative leaders. When to use it: Capability building. Free resource:https://innovatorsdna.com/assessment/
25. Strategic Innovation
Created by: Govindarajan & Trimble (2005) What it is: Building new growth engines alongside the core. When to use it: Long-term reinvention. Free resource:https://www.hbs.edu/faculty/
26. Competitive Positioning Options
Created by: Michael Porter (1985) What it is: Cost, differentiation, or focus strategies. When to use it: Clarifying competitive advantage. Free resource:https://www.isc.hbs.edu/strategy/
27. Diffusion of Innovation & Bass Model
Created by: Everett Rogers / Frank Bass What it is: Understanding how innovations spread. When to use it: Adoption forecasting. Free resource:https://www.diffusionofinnovation.com/
28. Open Innovation Funnel
Created by: Henry Chesbrough (2003) What it is: Sourcing innovation beyond organisational boundaries. When to use it: To accelerate learning and access capabilities. Free resource:https://www.openinnovation.eu/open-innovation-toolkit/
29. Seven Sources of Innovation
Created by: Peter Drucker (1985) What it is: Systematic sources of opportunity. When to use it: Strategic scanning. Free resource:https://www.drucker.institute/
30. The Medici Effect
Created by: Frans Johansson (2004) What it is: Breakthrough innovation at intersections. When to use it: Creative exploration. Free resource:https://themedicieffect.com/tools/
31. TRIZ
Created by: Genrich Altshuller (1984) What it is: Pattern-based inventive problem solving. When to use it: Technical challenges. Free resource:https://www.triz.co.uk/
32. Backcasting & Future-Back Strategy
Created by: Futures & sustainability practice (2000s– ) What it is: Defining a future state and working backwards. When to use it: Transformation under discontinuity. Free resource:https://www.futuresplatform.com/blog/backcasting
33. Ecosystem-Led Open Value Creation
Created by: Emerging practice (2020s) What it is: Designing shared platforms where multiple actors co-create and capture value. When to use it: Industry-wide transformation. Free resource:https://www.weforum.org/projects/platforms-and-ecosystems/
Innovation by Sector
Innovation is no longer linear or isolated — it now transforms entire industries at speed, scale, and scope. Breakthroughs in AI, digital platforms, and biological science are enabling organisations not just to improve products, but to redefine business models, supply chains, customer experiences, and societal value. Below we outline where innovation matters most by sector, which approaches drive impact, real global examples, and the likely effects on growth, profitability, and market value.
Automotive
Biggest opportunities:
Software-defined vehicles and over-the-air updates
Autonomous systems and AI-led driver assistance
EV energy ecosystems and vehicle platforms
Approaches that matter most: Platform strategy, ecosystem orchestration, digital twins, AI-driven design and predictive maintenance.
Examples:
Xiaomi (China): A tech-ecosystem entrant using data and platforms to reinvent the car as part of a broader smart-device network.
Rivian (US): Pioneering software and service-centric EV experiences with trip planning, over-the-air-upgrades, and fleet services.
Lucid Motors (US): High-efficiency, long-range EVs with luxury positioning.
Impact:
10–30% improvement in utilisation through software features and data services
New revenue streams via subscriptions and connected services
Traditional OEM valuations adjusting towards tech multiples
Banking & Financial Services
Biggest opportunities:
AI-driven credit and risk models
Embedded finance and platform banking
Real-time compliance and fraud detection
Approaches that matter most: Data-to-value innovation, ecosystem mapping, open platforms, and customer-job mapping.
Examples:
Nubank (Brazil): digital-first, radically lower cost base
Kakao Bank (South Korea): Digital-first bank reshaping customer acquisition and retention.
Zimbra (UK-EU): AI-enhanced risk analytics and next-gen compliance automation.
Impact:
20–40% lower cost-to-serve via automation
Faster growth in underbanked segments
Increased valuation multiples for platform-based financial models
Beauty & Personal Care
Biggest opportunities:
AI-driven personalised formulations
Biotech ingredients for active skincare
Community and creator-driven commerce
Approaches that matter most: AI-augmented innovation, JTBD, circular design.
Examples:
Debut (US): Uses AI to accelerate ingredient discovery for skincare performance. Vogue
Alta Beauty AI (global): AI platforms for personalised regimens and product matching. Vogue
L’Oréal (France): AI skin diagnostics, personalised formulations
Impact:
15–25% uplift in repeat purchase through personalisation
Faster product cycles, lower inventory costs
Stronger brand premium and loyalty
Energy
Biggest opportunities:
Renewable integration and grid digitalisation
Energy-as-a-service and demand flexibility
Green hydrogen and long-duration storage
Approaches that matter most: Ecosystem orchestration, digital twins, shared-value models.
Examples:
NextEra Energy (US): data-driven renewables scale
Schneider Electric (France): digital energy management platforms
Tesla Energy (US): Batteries, solar, and vehicle-grid integration.
Impact:
Lower operating cost and improved forecasting through digital twins
New revenue from services and flexibility markets
Re-rating of energy companies based on future growth pipelines
Fashion & Apparel
Biggest opportunities:
AI trend sensing and demand forecasting
On-demand and circular production
Virtual try-on and metaverse retail experiences
Approaches that matter most: Platform strategy, digital twins, circular innovation.
Examples:
ShopMy (US): Creator commerce platform connecting brands and audiences.
Lyst (UK): AI-powered shopping discovery across thousands of brands.
Faircraft (US/UK): Sustainable materials (lab-grown leather) for circular fashion.
Impact:
10–30% reduction in unsold inventory via predictive demand systems
New digital revenue streams via marketplaces and metaverse engagement
Enhanced brand value through sustainability credentials
Food & Agriculture
Biggest opportunities:
Alternative proteins and precision fermentation
AI-led breeding and yield optimisation
Supply-chain traceability systems
Approaches that matter most: AI-augmented discovery, ecosystem mapping, shared value innovation.
Examples:
Upside Foods (US): Cultivated meat scaling towards commercial volumes.
Tropic Biosciences (UK): Gene-edited crops for climate resilience.
NotCo (Chile): AI-designed food formulations
Impact:
Faster innovation cycles (months not years)
Premium pricing for sustainable products
Reduced production risk and environmental footprint
Retail
Biggest opportunities:
AI-led personalisation and dynamic pricing
Omnichannel integration and contactless experiences
Marketplace and affiliate platforms
Approaches that matter most: AI-augmented innovation, platform strategy, JTBD.
Examples:
IKEA (Sweden): circular and service-based retail innovation
Temu (US/China): Price-driven marketplace scaling globally.
GoPuff (US): Instant delivery ecosystem.
Impact:
Higher conversion and basket value
Lower logistics costs through dynamic routing
Market share gains against traditional retailers
Technology & Platforms
Biggest opportunities:
AI platforms, cloud-native services, developer ecosystems
Digital identity and secure compute infrastructures
Data-as-a-service models
Approaches that matter most: Platform strategy, continuous reinvention, open innovation.
Examples:
OpenAI (US): Generative AI platform reshaping software workflows.
Snowflake (US): Data cloud enabling ecosystem innovation.
Owkin (France/US): Precision oncology AI with hospital and pharma partnerships. Wikipedia
Impact:
Potential to reduce discovery timelines from years to months
New revenue sources through platform licensing and partnerships
Biotech valuations increasingly tied to data and AI assets
Governments & Public Sector
Biggest opportunities:
Digital public services and identity systems
Predictive analytics for health, infrastructure, and resilience
Smart cities and digital governance ecosystems
Approaches that matter most: Strategic foresight, digital twins, ecosystem orchestration.
Examples:
Estonia: End-to-end digital citizen services and e-ID.
Singapore: Smart Nation initiatives with real-time analytics.
EU Digital Identity: Cross-border trusted identity framework.
Impact:
Dramatically reduced service costs and error rates
Better public trust and transparency
New public-private innovation partnerships
Across Sectors: the Innovation Dividend
Across all sectors, the pattern is clear:
Innovation is shifting from products to systems
From speed to acceleration
From competition to orchestration
From efficiency to resilience and relevance
The organisations that capture the greatest value will be those that combine next-generation innovation tools with strategic clarity and leadership courage — turning technological possibility into meaningful progress, profitable growth, and long-term advantage.
While exact uplift varies, leaders integrating next-gen tools see consistent outcomes:
Revenue acceleration: 10–40% growth via new offerings and digital channels
Profit expansion: 15–30% margin improvements through automation and data insights
Structural value: Higher market multiples for platform- and AI-led business models
The future of industry belongs to organisations that combine technological foresight with systemic innovation, execute around data-driven platforms, and reinvent continuously rather than episodically.
Benchmarked Performance Scenarios
How Innovation Tools Translate into Business Results
How to read this
Baseline = well-run incumbent using traditional innovation (incremental, siloed).
Advanced = companies adopting modern tools selectively.
Frontier = next-gen innovators combining AI, platforms, ecosystems, and speed.
Percentages reflect 3–5 year impact, not single-year spikes.
1. AI-Augmented Discovery & Design
(Generative AI, digital twins, simulation, science automation)
Sector-Level Summary: Where the Biggest Upside Lies
Sector
Biggest Value Lever
Likely Market Value Gain
Automotive
Software + platforms
+30–70%
Banking
Embedded finance + AI
+20–50%
Beauty
AI personalisation + biotech
+25–60%
Energy
Digital grids + services
+15–40%
Fashion
Demand sensing + circularity
+20–50%
Food
AI biology + alt proteins
+30–100%
Retail
Platforms + AI pricing
+20–60%
Technology
AI platforms
+50–200%
Travel
Experience + data ecosystems
+15–35%
Government
Digital public infrastructure
Economic, not equity-based
The Strategic Insight for Leaders
From Tools to Transformation: Seeing the Bigger Picture
Individually, these methods are powerful. But the real challenge for leaders today is not choosing a tool — it is seeing the context of change clearly.
That context includes:
Exponential technologies reshaping industries
Shifting value from physical to intangible assets
Rising expectations from customers, talent, and society
The need to balance performance today with progress tomorrow
This is where innovation becomes a leadership discipline, not a functional activity.
Innovation has moved:
From products → platforms and ecosystems
From planning → continuous reinvention
From insight → AI-accelerated intelligence
From shareholder value → sustainable, shared value
Together, they reinforce a core truth increasingly clear to business leaders:
Innovation is no longer a set of tools. It is a system — shaped by context, culture, technology, and leadership.
Peter Fisk’s Future Lab–style approaches are designed precisely for this challenge. They help leaders and teams:
Make sense of future forces and strategic uncertainty
Connect foresight to growth opportunities
Integrate multiple innovation methods into a coherent system
Align strategy, culture, and execution around bold ambition
Rather than applying tools in isolation, Future Lab approaches enable strategic, integrated innovation — turning ideas into impact, and ambition into action.
In a world where the future arrives faster every year, the advantage belongs not to those who know the most tools, but to those who know how to lead innovation as a system — with clarity, confidence, and purpose.
The highest returns do not come from single tools, but from tool stacks:
AI + Platforms + Speed + Ecosystems = Non-linear value creation
Companies that combine these:
grow faster and
operate cheaper and
command higher multiples simultaneously
This is why the newest tools are increasingly rising to the top — not because they are fashionable, but because they compress time, collapse cost curves, and expand scale at once.
2026 is likely to be the moment when the “great experimentation” of the early 2020s matures into a period of deep structural accountability.
For business leaders, the coming year represents a shift from a world of boundless digital possibility to one of hard choices, where the divide between the winners and the laggards is defined not just by who has the best technology, but by who has the discipline to make it profitable.
As we move past the peak hype of generative AI and navigate a global economy characterized by persistent volatility, 2026 demands a strategy that balances radical innovation with operational ruthlessness.
Several powerful forces are converging to rewrite the corporate playbook.We are seeing the rise of agentic AI—autonomous systems that don’t just suggest content but execute complex business processes. At the same time, geopolitical tensions are forcing a transition toward “sovereign infrastructure,” where companies must prioritize regional resilience over global efficiency. Consumers, meanwhile, are retreating into a “two-speed” reality: a premium tier that values authenticity and human connection, and a value-conscious majority exhausted by years of inflationary pressure.
Why do these predictions matter to leaders planning for the months ahead? Because the margin for error has vanished. In a high-interest-rate environment, capital is expensive, and “growth at all costs” has been replaced by an urgent mandate for efficiency-led growth. Strategic planning for 2026 is no longer a top-down, annual ritual; it is a living, agile process. Leaders who fail to anticipate the “entry-level gap” created by automation, or who overlook the mandatory compliance of the circular economy, risk finding their business models obsolete before the year is out.
The following analysis explores the trends that will define 2026. These are not just “new technologies,” but applied solutions to the most pressing commercial problems of our time. For the modern executive, understanding these shifts is the difference between reacting to a crisis and orchestrating a transformation.
My Top 10 Business Agendas for 2026
Here are my top 10 business predictions for 2026, specifically considering the strategic business issues and agendas of leaders. Silver tech will see a big boom this year, and GenZ will get the hang of portfolio working, and we’ll see the death of bland AI content:
1. The “Agentic” Productivity Surge
The “pilot phase” of AI is over. By 2026, leading enterprises will have moved from simple chatbots to Agentic AI—autonomous systems capable of executing complex, multi-step workflows in finance, HR, and supply chain management. This shift moves AI from a “tool” to a “teammate,” necessitating a total redesign of corporate organizational structures.
2. The Great Efficiency Mandate
As the “AI bubble” faces scrutiny, 2026 is the year of ROI or Bust. Investors and boards will stop rewarding AI “potential” and start demanding measurable gains in margin and cycle times. Technology leaders (CIOs) will be tasked with bailing out failed business-led AI projects and proving that tech spend is directly linked to business value.
3. Divergent Consumer Markets
Consumer behavior will reflect a deep “K-shaped” split. While high-income tiers benefit from “wealth effects” of a resilient stock market, the broader global population is “volatility numb”—exhausted by years of inflation. Leaders must balance a “premiumization” strategy for the top end with “extreme value” and private-label offerings for the middle and bottom.
4. Sovereignty-by-Design Supply Chains
Geopolitical fragmentation is no longer a risk to manage; it is the new baseline. Companies are shifting toward “technology sovereignty,” prioritizing regional data centers and domestic chip supply. “Friend-shoring” is evolving into “Sovereign Infrastructure” as businesses insulate themselves from US-China trade tensions and potential tariff shocks.
5. The “Human Premium”
With AI-generated social media personas and content becoming indistinguishable from reality, authenticity is the new luxury. Brands that can guarantee human-led customer service, “verified human” creative work, and radical transparency will command a significant price premium in an increasingly “synthetic” digital world.
6. Clinical and High-Tech Wellness
The “wellness” trend is shedding its “woo-woo” image and becoming medically validated. Consumers in 2026 are demanding clinical-level, data-driven health solutions—from GLP-1 integrations in food/fitness to wearable tech that provides real-time, professional-grade diagnostic insights.
7. New Trade Hubs
While traditional markets like the US and China face “shaky” expansion, new strategic hubs are maturing. Saudi Arabia, the UAE (GCC), India, and ASEAN will emerge as the primary priority for global expansion, fueled by massive government-backed digital transformation agendas and “Vision 2030” style investments.
8. The “Entry-Level Gap” in Talent
AI’s ability to perform junior-level tasks (coding, research, basic analysis) has created a leadership pipeline crisis. Businesses will struggle to train future executives because the “grunt work” that traditionally served as a training ground is now automated. Leading firms will have to intentionally “manufacture” experience for junior talent.
9. Circular Economy beyond ESG
Sustainability is moving from “optional ESG” to hard-coded compliance, particularly with the EU Circular Economy Act taking effect. Forward-thinking leaders are turning this into a strategy, shifting from “selling products” to “Product-as-a-Service” models that maximize material reuse and reduce exposure to commodity price volatility.
10. The Rise of “Sanaenomics”
While the US remains an outperformer, 2026 will see divergent global growth. Japan is expected to see a “renaissance” driven by corporate reforms and “Sanaenomics” (policies of PM Sanae Takaichi), while European equities may become more attractive as they catch up on the credit cycle and fiscal stimulus.
My Top 10 Inspiring Companies for 2026
There are so many bold and brave, innovative and transforming companies to be inspired by. Last year I visited Climeworks, the Swiss carbon capture business, with its huge Mammoth facility in Iceland. Other inspiring companies including Polestar, often called the iPhone of EVs for its design-led approach to the EV revolution. And then there are companies like PingAn, the Chinese insurance giant, who has created the world’s largest digital healthcare platform, plus equally impressive businesses in mobility and real estate. Here are 10 who I think will inspire us this year:
1. BYD (China) … Clean Energy Transition at Scale
BYD is building a vertically integrated clean-energy ecosystem, spanning electric vehicles, batteries, energy storage, solar, and charging infrastructure. It is electrifying public transport and urban mobility in emerging markets while driving down costs across the energy system.
dLocal enables global brands to accept local payments in emerging markets, providing settlement in local currency. By solving fragmented payment systems, it unlocks massive new consumer markets and bridges local demand with international commerce.
3. Figure (USA) … General-Purpose Robotics
Figure is developing humanoid robots capable of performing multiple tasks in industrial and commercial environments. Its goal is to introduce general-purpose physical intelligence at scale, potentially transforming warehouses, factories, and logistics operations.
4. Insilico (China) … AI-Powered Drug Discovery
Insilico uses generative AI and automated lab platforms to discover, design, and optimise new drug candidates. With AI-designed compounds already entering clinical trials, it is proving that artificial intelligence can deliver real-world therapeutic breakthroughs.
5. M-Kopa (Kenya) … Inclusive Energy & Credit Identity
M-Kopa provides pay-as-you-go solar energy, mobile payments, and credit-building services for underserved populations. Its model combines affordability with financial inclusion, creating scalable solutions for energy access in emerging markets. It builds on earlier mobile-based innovations like M-Pesa the first app for money transfers.
6. Nvidia (USA) … Foundational AI Compute Platform
Nvidia powers the AI revolution with GPUs, software frameworks, and developer ecosystems. Its platforms are becoming the foundation for AI in industries ranging from healthcare to robotics, logistics, and autonomous systems.
Palantir helps organisations integrate complex, fragmented data and transform it into actionable insights. Its AI-driven platforms are used in defence, finance, healthcare, and logistics to improve operational decisions at scale.
8. Spiro (UAE) … EV and Battery-Swap Mobility Ecosystem
Spiro is deploying electric motorcycles with a battery-swapping network for African cities. Its system tackles emissions, reduces fuel costs, and provides scalable urban mobility solutions for emerging markets.
9. SpaceX (USA) … Space Infrastructure & Global Connectivity
SpaceX is building space-based infrastructure through Starship launches and the Starlink satellite constellation. It is redefining global connectivity, satellite deployment, and commercial space access. This year’s likely IPO promises to supercharge progress.
10. Withings (France) … Continuous Health Optimisation
Withings develops connected health devices that monitor vitals and provide actionable insights. Its ecosystem supports preventative healthcare, enabling consumers to manage wellness in daily life rather than relying solely on episodic medical care.
My Top 10 Consumer Trends for 2026
There’s a huge number of trend reports produced every new year, and I curate them all in my Trend Kaleidoscope 2026. What I do, is take the longer-term signals, or megatrends, then look at what will be most pronounced over the shorter term, and thereby avoiding some of the fads and hype of other reports.
1. Life optimisation as a daily habit
Wellness evolves from occasional interventions into continuous optimisation. Consumers track sleep, energy, stress, metabolism, and mental wellbeing, expecting brands to help them improve everyday performance and long-term health, not just treat problems.
Example: Withings (France) is building a connected health ecosystem — smart scales, blood pressure monitors, and wearables — that turns daily data into actionable health guidance via subscriptions.
2. Simplicity turns into a status symbol
In a world of endless choice and digital noise, clarity and restraint signal quality. Consumers increasingly trust brands that curate, edit, and remove friction rather than overwhelm them with options.
Example: Aesop (Australia) limits product ranges, uses clear functional language, and designs calm retail environments, turning simplicity into a premium brand asset.
3. Identity-first brands replace mass appeal
Consumers no longer expect to fit into brands; they expect brands to reflect their identity, culture, and values. Loyalty is built through belonging, not scale.
Example: Telfar (USA) has built a global following by positioning itself as inclusive and community-led, with scarcity and cultural relevance replacing traditional luxury cues.
4. Socialising without overindulgence
Drinking culture and nightlife are being redefined. Consumers, especially younger generations, prefer moderation, alcohol-free options, and daytime social rituals that support physical and mental wellbeing.
Example: Seedlip (UK) created a premium non-alcoholic spirits category, reshaping social occasions without framing abstinence as sacrifice.
5. Food as a daily health intervention
Food and drink are expected to deliver measurable functional benefits — from gut health and immunity to cognition and energy — while still providing pleasure and familiarity.
Example: Yakult (Japan) continues to grow globally by positioning probiotics as a simple, science-backed daily habit rather than a specialist supplement.
6. Retail and hospitality become human spaces, again
After years of digital acceleration, consumers value physical experiences that offer learning, repair, community, and presence, not just transactions.
Example: Ikea (Sweden) is transforming stores into community hubs with workshops, repair services, and circular economy initiatives that encourage participation.
7. AI becomes an invisible consumer partner
AI shifts from novelty to infrastructure, quietly supporting consumers by anticipating needs, simplifying choices, and personalising experiences without demanding attention.
Example: Alibaba (China) uses AI across commerce, logistics, and content to personalise discovery, pricing, and recommendations at massive scale.
8. Trust demands radical transparency
Sustainability and ethics are no longer about claims; they are about proof, traceability, and accountability. Consumers expect evidence they can see and verify.
Example: Everlane (USA) built its brand on radical transparency, openly sharing product costs, factory conditions, and sourcing decisions.
9. Emerging-market brands redefine global leadership
Innovation is no longer dominated by Western brands. Consumers increasingly adopt Asian, African, and Middle Eastern brands that combine speed, value, and cultural relevance.
Example: BYD (China) is becoming a global consumer brand by making electric vehicles affordable, reliable, and accessible at scale.
10. Brands compete on sensory and emotional depth
In a saturated market, differentiation comes from emotion, storytelling, and sensory richness, not just functional superiority.
Example: Rituals (Netherlands) transforms everyday products into meaningful routines through scent, narrative, and immersive store design.
My Top 10 Innovation Trends for 2026
In 2026, the global business landscape has shifted from “what is the new technology?” to “how do we apply it to solve specific, high-stakes problems?” Innovation is no longer about the labs; it is about the strategic redesign of business to survive volatility and capture new types of value. Here are the top 10 strategic business innovation trends for 2026:
1. Agent-First Operations
The primary strategic shift is moving from “people using tools” to “people orchestrating agents.” Businesses are moving beyond simple automation to agentic AI systems that plan and execute entire workflows (like complex tax reconciliation or supply chain rerouting) with minimal oversight.
Problem Solved: Breaking the “hiring-to-growth” link where scaling revenue used to require scaling headcount.
Example: HPE (Global) has moved from solving single pain points to an “end-to-end” transformation where agentic workflows handle procurement and finance, freeing humans for high-level negotiation.
2. Radical Sourcing Resilience
Due to geopolitical volatility and tariff pressures, the “lowest cost” supply chain is dead. Strategic innovation now focuses on “Sovereign Infrastructure”—building redundancy through a mix of hyperlocal microfactories and localized data centers.
Problem Solved: Reducing exposure to cross-border trade shocks and energy grid failures.
Example: Unilever (Global) uses AI-driven scenario planning to stress-test their supply chain against climate and political disruptions, shifting sourcing to regional “safety nets.”
3. Circular “Product-as-a-Service” Models
Driven by the EU Circular Economy Act, companies are innovating by retaining ownership of products and selling the service instead of the physical good. This turns “waste” from a liability into a high-margin raw material for the next cycle.
Problem Solved: Mitigating commodity price spikes and meeting mandatory sustainability disclosures (Scope 3 emissions).
Example: H&M and IKEA (Europe/Global) have scaled “recommerce” and repair-as-a-service, turning used furniture and clothing into a $1B+ revenue stream rather than a landfill cost.
4. The “Human Premium” Branding
In a world saturated with AI-generated content, businesses are strategically innovating by doubling down on human authenticity. This involves “Verified Human” labels and artisanal, non-automated customer tiers.
Problem Solved: Declining trust and “digital fatigue” among high-net-worth consumers.
Example: Premium retail brands (Japan/Italy) are implementing “Human-Only” support tiers where customers are guaranteed a high-EQ, expert human interaction without any AI intervention.
5. Hyper-Frequency Pricing
Innovators are moving from quarterly or monthly pricing reviews to granular, real-time margin management. Using high-frequency data, companies adjust prices daily based on specific “tariff drift” and local demand spikes.
Problem Solved: Protecting margins in an environment where trade costs (tariffs) and inflation are erratic.
Example: Large Electronics Wholesalers (US) now link real-time tariff data directly to their pricing dashboards to prevent “margin bleed” from upstream cost shocks.
6. Bio-Fused “Clean-Tech” Materials
Innovation is shifting from “software fixes” to biological solutions. Companies are using synthetic biology to grow packaging, fabrics, and even construction materials that are carbon-negative and perform better than plastic.
Problem Solved: Decoupling manufacturing from petroleum-based supply chains.
Example: Mistral AI and Recursion (Global) are partnering to use AI to discover new sustainable materials and drugs, slashing the R&D timeline for new physical products by 70%.
7. The “Tribal” Expansion Model
In emerging markets, businesses are abandoning top-down Western management for “Tribal Networking.” This involves partnering with small, powerful local collectives to navigate regional complexities.
Problem Solved: High failure rates of global brands attempting to enter fragmented markets like Africa and Southeast Asia.
Example: Female-led “Tribes” (Africa/Middle East) are being used as a new networking and empowerment model by global firms to consolidate local market shares through community-led trust.
8. Augmented Talent Yield (The “10x Employee”)
Innovation in HR has moved from “hiring talent” to “multiplying talent.” Companies are redesigning roles so that one senior expert, aided by an AI “shadow team,” can output what an entire department used to produce.
Problem Solved: The “Entry-Level Gap” where AI has replaced the junior roles that traditionally fed the talent pipeline.
Example: SoftBank (Japan/LatAm) reported cutting $24M in costs by reskilling their existing workforce as “AI-augmented architects,” increasing individual output tenfold.
9. Embedded and Invisible Finance
Companies that were not “banks” are now integrating finance into the core user journey. By 2026, invisible finance(lending, insurance, and payments embedded in a product) has become the primary driver of customer loyalty.
Problem Solved: High customer acquisition costs and friction at the point of sale.
Example: MercadoLibre (Latin America) has evolved its “Mercado Pago” from a payment tool into the primary banking rail for the continent, solving the “unbanked” problem with an all-in-one ecosystem.
10. AI Sovereignty and Data Localism
Strategic leaders are moving away from “The Public Cloud” toward Localized AI Safety Nets. This involves owning the physical infrastructure where AI models reside to ensure data privacy and regulatory compliance (like the EU AI Act).
Problem Solved: Legal and ethical risks of “black box” AI making biased or illegal decisions with proprietary data.
Example: IBM and Deloitte (Global) are helping enterprises build “AI Studios”—centralized hubs that govern every AI interaction, ensuring agents “show their work” for regulatory audits.
My Top 10 Leadership Priorities for 2026
In a world defined by AI acceleration, geopolitical volatility, climate pressure, and continuous business reinvention, business leaders need to move from being decision-makers of continuity, managing and optimising the status quo, to leaders as architects of adaptive systems. They need to be able to sense change early, act courageously, mobilise others, and continuously reinvent themselves and their organisations. These are not soft traits, just a mindset, but demand new leadership capabilities.
1. Strategic foresight as a core leadership discipline
Leaders must move beyond annual planning to continuous sensing and sense-making. This means scanning weak signals, tracking exponential technologies, anticipating second- and third-order effects, and using scenarios to guide decisions. Foresight becomes less about prediction and more about preparedness and optionality. Leaders need to be futurists and visionaries, but also practical implementers. They need to be “performer transformers/”
Development focus: Futures thinking, scenario design, strategic storytelling, portfolio thinking.
2. Courageous leadership in an age of uncertainty
2026 will reward leaders who can make bold, asymmetric bets without complete data—whether exiting legacy businesses, investing ahead of demand, or challenging entrenched power structures. Courage is increasingly about acting early, not waiting for certainty. Stop using uncertainty as an excuse for indecision or inaction.
Development focus: Decision-making under uncertainty, ethical courage, constructive conflict, conviction-building.
3. Personal agility and continuous reinvention
Leadership advantage will come from those who can unlearn, relearn, and reinvent themselves faster than the context changes. Static leadership identities are becoming liabilities. Leaders must treat their own skills, mindsets, and roles as dynamic assets.
Development focus: Learning agility, adaptive leadership, identity flexibility, energy and resilience management.
4. Embracing complexity, positively
Many leaders still try to “simplify” complexity. In 2026, effective leaders will embrace ambiguity, manage paradoxes (short vs long term, exploit vs explore, global vs local), and design systems that can evolve rather than be controlled.
Development focus: Systems thinking, complexity leadership, paradox management, ecosystem orchestration.
5. Curiosity as a strategic advantage
Curiosity shifts from a personality trait to a competitive capability. Leaders must ask better questions, explore adjacent possibilities, and actively seek perspectives from outside their industry, geography, and generation.
Development focus: Question-led leadership, ethnographic listening, cross-industry exploration, beginner’s mindset.
6. Innovative thinking beyond products
Innovation in 2026 is less about “ideas” and more about reimagining business models, experiences, ecosystems, and value creation. Ecosystems give organisations the ability to go further, faster. No longer are they limited by their own capabilities. Similarly value-based thinking (thinking long-term economic value creation, rather than just short-term profitability) creates a larger, richer frame to innovate. Leaders must foster environments where experimentation is safe, fast, and connected to strategy.
Development focus: Design thinking, experimentation, portfolio innovation, scaling innovation across the core.
7. Leading AI-enabled organizations
Leaders do not need to be technologists—but they must understand how AI reshapes decision-making, power, productivity, and ethics. The key leadership challenge is integrating human judgment with machine intelligence. This also means leaders embracing AI in how they manage performance and organisations, for example in building foresight, addressing complexity, unlocking realtime analytics and agility.
Development focus: AI literacy, human–machine collaboration, data-informed leadership, responsible AI governance.
8. Orchestrating transformation, not managing change
Transformation is no longer a one-off program. Leaders must continuously orchestrate multiple, overlapping transformations—digital, cultural, sustainability, organisational—while keeping the business performing. “Change management” practices largely belong to an incremental, occasional, improvement world, rather than one that requires significant reinvention and transformational progress.
Development focus: Transformation architecture, change velocity, narrative leadership, execution through ecosystems.
9. Mobilising purpose into performance
Purpose in 2026 must move from aspiration to operating system. Leaders need to translate purpose into strategy, incentives, innovation priorities, and daily decisions, especially as employees and customers demand authenticity. Purpose is partly about sustainability, but also more. The bigger direction and impact of the organisation. Similarly sustainability is about more, moving beyond CSR and ESG to develop regenerative strategies for a better world, as a core business model.
Development focus: Purpose-driven strategy, values-based trade-offs, impact measurement, trust-building.
10. Developing the next generation of leaders, faster
The leadership pipeline must accelerate. Tomorrow’s leaders will emerge from unexpected places, with different motivations and expectations. Senior leaders must shift from being controllers to talent catalysts. In fact, we shouldn’t think of it as a heirarchical or even time-based progression. Next gen leaders bring new mindsets, capabilities and attitudes, which you need now.
Development focus: Coaching capability, inclusive leadership, apprenticeship models, distributed leadership.
My Top 10 Product Launches for 2026
In 2026, product launches are moving away from incremental updates and toward category-defining innovations. Following a year of heavy AI investment in 2025, the market is ready for hardware that natively integrates these capabilities.
Here are the top 10 most exciting product launches predicted for 2026:
1. Apple “iPhone Fold”
After years of speculation, 2026 is widely anticipated as the debut year for Apple’s first foldable device. Reports suggest a tablet-style fold with a 7.8-inch inner display, aimed at bridging the gap between the iPhone and iPad mini. Apple’s entry into this market is expected to standardize the “creaseless” display technology that competitors have struggled to perfect.
2. Nintendo Switch 2
While the hardware may debut in late 2025, 2026 will be the year of its “true” launch with a blockbuster software lineup. Expect titles like Grand Theft Auto VI (widely rumored for a 2026 release window) and the next 3D Super Mario to showcase the console’s reported 4K DLSS capabilities, making it the must-have entertainment device of the year.
3. Sony Honda Mobility “Afeela” EV
The joint venture between Sony and Honda is scheduled to deliver its first production vehicles to customers in 2026. This “Software-Defined Vehicle” features a massive panoramic screen, Epic Games’ Unreal Engine 5 for the UI, and Level 3 autonomous driving. It represents the first serious attempt by a tech giant to redefine the car as a “moving entertainment space.”
4. Meta “Orion” AR Glasses
Meta is expected to seed its first true Augmented Reality glasses, codenamed Orion, to developers and early adopters in 2026. Unlike the current “Smart Glasses” that only have cameras and audio, Orion features high-field-of-view holographic displays, allowing users to see digital objects anchored in the real world without a bulky headset.
5. OpenAI “Agentic” OS & Jobs Platform
OpenAI is projected to launch a dedicated “Operating System” for AI agents in mid-2026. This isn’t just a chatbot; it is a platform where autonomous agents can execute professional workflows—managing your taxes, booking travel, or even applying for roles on a new OpenAI Jobs Platform designed to match AI-skilled talent with verified enterprises.
6. BMW “Neue Klasse” iX3
2026 marks the arrival of BMW’s most important vehicle in decades. The iX3 will be the first to use the “Neue Klasse” platform, featuring 6th-generation battery tech that promises 30% more range and 30% faster charging. It includes “Panoramic Vision,” a head-up display that spans the entire width of the windshield.
7. Rivian R2 SUV
The R2 is Rivian’s “Model 3 moment.” Launching in the first half of 2026 with a starting price around $45,000, this compact SUV is designed to bring the brand’s rugged, high-tech aesthetic to the mass market. With over 300 miles of range and a focus on “adventure-ready” interior modularity, it is the most anticipated EV of the year for North America.
8. Apple Home Hub
Apple is reportedly readying a new category for the home: a smart display (potentially called HomePad) featuring a 7-inch screen and a new homeOS. Powered by an A18 chip, it will serve as the command center for Apple Intelligence in the household, using a robotic arm or swivel base to follow the user during FaceTime calls.
9. Samsung “Galaxy Z Tri-Fold”
To compete with Huawei’s Mate XT, Samsung is expected to launch its first triple-folding phone in 2026. This device would unfold into a 10-inch workspace, effectively replacing the need for a laptop or tablet for mobile professionals, and solidifying Samsung’s lead in high-end display engineering.
10. Tesla “Optimus” Gen 2
While still in development, 2026 is the target year for Tesla to begin low-volume commercial shipments of its Optimus humanoid robot to external industrial partners. These robots will likely be deployed in specialized logistics and assembly roles, marking the first time humanoid robotics moves from a “lab demo” to a “shippable product.”
My Top 10 Business Events for 2026
In 2026, the global business calendar shifts from “innovation for its own sake” to “innovation for survival.” Strategic events are no longer just networking opportunities; they are the arenas where new economic systems—shaped by AI agents, regional trade blocs, and climate mandates—are being formalized. Here is my take on the top 10 strategic business events of 2026:
1. The World Economic Forum (Davos) – The “Sovereign AI” Summit
Location: Davos, Switzerland (January 2026)
Strategic Focus: 2026 marks the year Davos shifts from discussing AI as a tool to AI as National Infrastructure. Expect major announcements regarding “Sovereign AI” funds, where nations (led by the Middle East and EU) partner with tech giants to build domestic data centers to ensure data and technological autonomy.
2. MWC Barcelona & 4YFN – The “Infinite AI” Launch
Location: Barcelona, Spain (March 2-5, 2026)
Strategic Focus: The theme “Infinite AI” dominates. This event will see the transition from Large Language Models (LLMs) to Agentic Systems that can act on behalf of businesses. It is a critical milestone for telecom and hardware leaders to showcase the “Edge AI” infrastructure required to run these agents locally on devices.
3. TiE Global Summit – The “Indo-Pacific Expansion” Gate
Location: Jaipur, India (January 4–6, 2026)
Strategic Focus: As the 10th anniversary of one of Asia’s largest entrepreneurship gatherings, this event serves as the primary gateway for Western firms looking to de-risk from China. The focus is on Cross-Border Scaling and how India’s “Digital Stack” can be exported to other emerging markets.
4. GITEX Africa – The “Leapfrog Tech” Milestone
Location: Marrakech, Morocco (April 7–9, 2026)
Strategic Focus: This has become the most influential business event for the MENA and African regions. In 2026, the strategy shifts toward Energy-Agnostic Tech—innovations that allow AI and digital banking to scale in regions with unstable power grids, showcasing a new “low-energy” blueprint for global business.
5. Responsible Business USA – The “Post-Hype” ESG Reset
Location: New York/Online (May 2026)
Strategic Focus: Following 2025’s regulatory tightening (like the EU’s CBAM), this event will focus on Mandatory Transparency. Strategic leaders will move away from “marketing-led sustainability” toward AI-powered, real-time ESG auditing that proves ROI to skeptical investors.
6. Money20/20 Europe – The “Invisible Finance” Convergence
Location: Amsterdam, Netherlands (June 2–4, 2026)
Strategic Focus: The central theme is Embedded Finance. Strategy leaders from retail, auto, and logistics attend to learn how to integrate “invisible” banking into their products. 2026 will specifically focus on the commercialization of Central Bank Digital Currencies (CBDCs) and their impact on B2B settlement speeds.
7. RAISE Summit – The AI Governance Accord
Location: Paris, France (July 8–9, 2026)
Strategic Focus: While other events focus on using AI, RAISE is where the Rules of the Game are set. Strategic leaders meet here to align on AI ethics, safety protocols, and “Verified Human” labeling standards, which will become a major competitive differentiator for brands in late 2026.
8. The G20 Summit – The “New Trade Hubs” Negotiation
Location: South Africa (Late 2026)
Strategic Focus: South Africa’s presidency will prioritize Global South Value Chains. For business leaders, the strategic event is the “Business 20” (B20) meeting, where new agreements on critical mineral processing (lithium, cobalt) are expected to bypass traditional US-China routes.
9. Web Summit Lisbon – The “Agentic OS” Reveal
Location: Lisbon, Portugal (November 2026)
Strategic Focus: Traditionally a startup fest, 2026 will see Web Summit evolve into a platform for Enterprise Re-Architecture. Major players are expected to debut “Agentic Operating Systems” that allow non-technical CEOs to manage their entire corporate “digital twin” from a single interface.
10. Slush – The “Founder-to-Agent” Shift
Location: Helsinki, Finland (November 19–20, 2026)
Strategic Focus: Known as the most founder-focused event, Slush 2026 will tackle the “Solo-Unicorn” phenomenon. Strategies will center on how small, highly-leveraged teams using autonomous AI agents are outperforming traditional mid-sized corporations in speed-to-market.
My Top 10 Business Failures for 2026
In 2026, the global business landscape is shifting from a period of high-interest rates and AI hype into a phase of brutal accountability. Business failures in this year are rarely about a lack of technology; they are about failed monetization, regulatory traps, and the inability to service debt in a “higher-for-longer” interest rate environment. Here are the top 10 predicted business failure archetypes for 2026:
1. The “AI ROI” Burnouts
The Failure: Mid-sized software-as-a-service (SaaS) companies that pivoted entirely to AI in 2024 but failed to prove tangible productivity gains to customers.
Why: Enterprise clients in 2026 are cutting “experimental” AI budgets. Companies that spent their cash reserves on expensive GPU clusters without a clear revenue model are facing “death by Capex.”
Example: Generic “AI wrapper” startups that added a chat interface to existing data but provided no proprietary value.
2. High-Debt Retailers (The Refinancing Wall)
The Failure: Legacy brick-and-mortar retailers with variable-rate debt or major bonds maturing in 2026.
Why: With interest rates remaining “sticky” around 3–4%, the cost of refinancing debt is 3x higher than when it was issued. Those with thin margins cannot absorb the interest expense.
Example: Global department store chains and furniture retailers struggling with high-cost physical footprints.
3. “Synthetic” Media Platforms
The Failure: Content platforms that relied 100% on AI-generated articles and videos to drive ad revenue.
Why: In 2026, Google and Meta’s algorithms have pivoted to favor “Verified Human” content. Synthetic sites are being “shadowbanned” or de-indexed, leading to a total collapse in traffic and ad spend.
Example: Mass-produced SEO “content farms” that were once profitable but lost 90% of their visibility overnight.
4. Fossil-Fuel Dependent Logistics
The Failure: Regional shipping and trucking firms that ignored the transition to green fuels or “Product-as-a-Service” models.
Why: The EU’s Carbon Border Adjustment Mechanism (CBAM) and similar global mandates in 2026 have made carbon-heavy logistics too expensive to be competitive in international trade.
Example: Smaller shipping lines in Southeast Asia and Eastern Europe that cannot afford the “Green Premium” for cleaner fuels.
5. Junior-Heavy Professional Services
The Failure: Law firms and accounting agencies that relied on billing high hourly rates for “junior” work (research, data entry, basic drafting).
Why: Clients in 2026 refuse to pay for work that AI agents now do in seconds. Firms that failed to move to “outcome-based pricing” are seeing their revenue pipelines evaporate.
Example: Mid-tier corporate law firms that haven’t restructured their partner-to-associate ratios.
6. The “Cyber-Insolvent” (Security Failures)
The Failure: Companies that suffer massive data breaches and lack the specialized “Cyber-Resilience” insurance required to survive.
Why: In 2026, a single breach doesn’t just result in a fine; it triggers a “Death by Litigation” scenario due to stricter global data privacy laws (like the evolved GDPR and US state laws).
Example: Fintech startups or health-tech apps that under-invested in encryption and lost consumer trust permanently after a hack.
7. Over-Leveraged “Green-Washing” Projects
The Failure: Sustainability startups that relied on selling low-quality carbon credits to stay afloat.
Why: The market for “avoidance” credits (saving trees) has collapsed in favor of “removal” credits (direct air capture). Companies with business models built on the old, unregulated carbon market are going bust.
Example: Carbon-offset brokers that failed to adapt to the new 2026 Global Carbon Standards.
8. The “Entry-Level Gap” Manufacturers
The Failure: Factories that failed to automate and are now facing a total lack of skilled human labor.
Why: As the workforce ages, the “Blue-Collar Renaissance” has driven wages so high that non-automated factories are no longer profitable.
Example: Traditional textile or garment manufacturers in developing nations that didn’t invest in “Cobotics” (human-robot collaboration).
9. Neo-Banks Without a Path to Profit
The Failure: Digital-only banks that focused solely on user growth rather than net interest margins.
Why: Investors in 2026 have zero patience for “growth at all costs.” Neo-banks that haven’t diversified into lending or high-margin insurance products are being swallowed by legacy banks for pennies on the dollar.
Example: High-profile European and Brazilian fintechs that failed to secure a full banking license.
10. Direct-to-Consumer (DTC) “Boutique” Brands
The Failure: Small-scale DTC brands that built their business on cheap social media ads.
Why: Advertising costs on platforms like Instagram and TikTok have tripled due to AI-driven competition. Without a physical retail presence or a massive “community” moat, these brands can no longer acquire customers profitably.
Example: Subscription box services and niche apparel brands with no physical “omnichannel” strategy.
My Top 10 Value Creators for 2026
Based on current market trajectories, earnings forecasts, and the shift from AI experimentation to full-scale monetization, these are the top my 10 companies predicted to lead worldwide market value creation in 2026 (with all the usual caveats that this is not investment advice, and market can go down as well as up) …
1. Nvidia
Est. Market Cap (Jan 2026): $4.60 T
Est. Market Cap (Dec 2026): $5.30 T
As the “picks and shovels” provider of the AI era, Nvidia enters 2026 with a massive order backlog for its Blackwell architecture. While the triple-digit growth of previous years may moderate, Nvidia remains the primary beneficiary of “Sovereign AI”—the trend of nations building their own domestic data centers. Their expansion into software and networking services provides a high-margin cushion that will likely sustain their lead in the race to the first-ever $5 trillion valuation.
2. Microsoft
Est. Market Cap (Jan 2026): $3.95 T
Est. Market Cap (Dec 2026): $4.85 T
Microsoft is positioned to be the primary “monetizer” of AI in 2026. After years of heavy capital expenditure, its Azure cloud platform and Copilot software suite are expected to show significant margin expansion as “Agentic AI” (autonomous systems) becomes a standard corporate requirement. With a diversified revenue stream spanning gaming, enterprise software, and cloud, Microsoft serves as the most stable “AI mega-cap” for global investors.
3. Alphabet
Est. Market Cap (Jan 2026): $3.75 T
Est. Market Cap (Dec 2026): $4.70 T
Alphabet is expected to outperform in 2026 due to its vertical integration. By using its own custom TPU chips to run Gemini 3.0, it can deliver AI services more cost-effectively than rivals relying on third-party hardware. Furthermore, 2026 is projected as a breakout year for Waymo, as the autonomous driving unit scales toward one million trips per week across 20+ cities, finally contributing a “valuation kicker” beyond search and ads.
4. Apple
Est. Market Cap (Jan 2026): $4.05 T
Est. Market Cap (Dec 2026): $4.65 T
Apple’s value creation in 2026 will be driven by the “AI Replacement Cycle.” As Siri 2.0 and “Apple Intelligence” become mature, hundreds of millions of users on older hardware will be forced to upgrade to AI-capable iPhones and Macs. This “supercycle,” combined with a high-margin Services business that continues to grow at double digits, ensures Apple remains a top-tier value creator despite slower growth in China.
5. Amazon
Est. Market Cap (Jan 2026): $2.45 T
Est. Market Cap (Dec 2026): $3.10 T
Amazon enters 2026 as a “high-quality compounder.” Its cloud division, AWS, has regained its growth crown by outperforming rivals in AI-native applications. Simultaneously, Amazon’s logistics network is yielding record profits through AI-driven regionalization. With newer catalysts like the Project Kuiper satellite program and medical pharmacy services reaching scale, Amazon is the strongest candidate to firmly enter the $3 trillion club.
6. Meta Platforms
Est. Market Cap (Jan 2026): $1.75 T
Est. Market Cap (Dec 2026): $2.30 T
Meta has successfully pivoted from a “social media company” to an “AI-recommendation engine.” In 2026, its investment in the Llama open-source model will pay dividends as it becomes the industry standard for developers. With advertising efficiency at an all-time high and new revenue streams coming from WhatsApp Business and Threads monetization, Meta is expected to see a significant “multiple rerating” by the market.
7. Broadcom
Est. Market Cap (Jan 2026): $1.65 T
Est. Market Cap (Dec 2026): $2.15 T
Broadcom is the “quiet giant” of the semiconductor world. As big tech firms like Meta, Google, and OpenAI seek to reduce their dependence on Nvidia, they are partnering with Broadcom to design custom AI chips (ASICs). In 2026, these custom silicon deals—including a massive multi-year partnership with OpenAI—are expected to propel Broadcom toward a $2 trillion valuation.
8. Eli Lilly
Est. Market Cap (Jan 2026): $1.05 T
Est. Market Cap (Dec 2026): $1.55 T
The pharmaceutical leader is expected to dominate 2026 through its GLP-1 franchise (Zepbound/Mounjaro). As supply constraints vanish and the drug is approved for new uses like sleep apnea and liver disease, Lilly’s revenue is projected to skyrocket. The anticipated launch of Orforglipron (an oral weight-loss pill) in late 2026 could be the final catalyst that makes Lilly the most valuable healthcare company in history.
9. TSMC
Est. Market Cap (Jan 2026): $1.50 T
Est. Market Cap (Dec 2026): $1.95 T
As the world’s indispensable foundry, TSMC is the ultimate bottleneck for global tech. By 2026, its 2nm (nanometer) mass production will be fully operational and reportedly already “sold out.” With the ability to hike prices on its most advanced nodes by 10%–20%, TSMC possesses unmatched pricing power that will translate into record earnings and a near-$2 trillion market cap.
10. MercadoLibre
Est. Market Cap (Jan 2026): $115 B
Est. Market Cap (Dec 2026): $165 B
While its total cap is smaller than the others, MercadoLibre is predicted to be a top percentage value creator. By 2026, its “Mercado Pago” fintech ecosystem will have moved beyond just payments to becoming a full-service digital bank for Latin America. Its 30%+ Return on Equity (ROE) and dominance in the region’s e-commerce make it the premier emerging market growth play for 2026.
That’s it for now. Let’s see what happens.
What will you do in 2026?
The global automotive industry is in the midst of a historic transformation. For more than a century, European car makers have defined the standards of design, engineering and prestige. Brands like Volkswagen, Mercedes‑Benz, and Porsche became synonymous with quality, luxury and performance.
Yet today, an unprecedented wave of disruption is reshaping the rules of the road. Chinese manufacturers such as BYD, Nio, Xpeng and Xiaomi are challenging incumbents with electric vehicles (EVs), software‑driven experiences and aggressive growth strategies.
The contrast could not be starker.
European companies emerged from decades of industrial craftsmanship, mastery of internal combustion engines (ICE), and a global distribution footprint built on heritage.
Chinese entrants, by contrast, often come from technology, battery production, or consumer electronics backgrounds, bringing agility, digital know‑how and the ability to leapfrog legacy constraints. BYD, for instance, evolved from a battery maker into a full EV manufacturer, quickly becoming a global leader in electric mobility. Nio began with a focus on premium EVs and lifestyle services, positioning itself as a “technology luxury” brand. Xiaomi, known for smartphones and connected devices, is now applying its software ecosystem expertise to cars, promising integration with smart homes and IoT networks.
This generational shift is driven by more than just electrification. Regulatory incentives, climate concerns, urbanisation and shifting consumer expectations have disrupted the balance of power. Where European manufacturers once led in every dimension, China’s new entrants are demonstrating strengths in software, connectivity, vertical integration and rapid scale.
But the question remains: in this new era, who is truly better — and what do each need to do to secure their future potential?
Comparing the key factors
To answer this, we focus on four critical variables that will define leadership in the automotive future:
Engineering and Product Experience – encompassing vehicle performance, safety, design and hardware quality.
Software and Digital Ecosystem – including connectivity, over‑the‑air updates, autonomous driving and smart integration.
Brand and Market Positioning – capturing reputation, global reach, customer perception and lifestyle appeal.
Growth, Scale and Profitability – reflecting financial health, industrial strategy, and ability to sustain innovation.
1. Engineering and Product Experience
European manufacturers have long set the benchmark for mechanical excellence. Mercedes‑Benz combines luxury and engineering precision, Porsche delivers unparalleled performance and driving dynamics, and Volkswagen balances affordability with reliability. Decades of experience in ICE technology, suspension tuning, crash safety and materials science create vehicles that feel refined, predictable and enduring.
Chinese companies, conversely, approach engineering from a different perspective. BYD’s electric architecture emphasises battery safety, efficiency and cost‑effectiveness, while Nio and Xpeng have invested in chassis and drivetrain tuning that meet both performance and comfort expectations. Early Chinese vehicles faced criticism for derivative design and inconsistent quality, but today’s models demonstrate a striking leap in refinement. Interiors are spacious, ergonomically thoughtful and integrated with expansive digital displays, signalling a design philosophy tuned to a tech‑savvy, urban consumer.
The divergence: European engineering still excels in vehicle dynamics, material quality and mechanical reliability. Chinese makers are closing the gap quickly, particularly in EV‑specific engineering, battery innovation, and integrated performance systems. For Europe, the challenge is adapting ICE expertise to a future dominated by electric architecture without legacy inefficiencies. For China, it is sustaining high-quality production while scaling globally.
2. Software and Digital Ecosystem
Here lies the most significant battleground of the next decade. Vehicles are becoming computers on wheels; software determines the user experience, connectivity, autonomous features, and the vehicle’s adaptability long after purchase.
Chinese makers lead in this domain. Nio’s battery‑swap networks, integrated lifestyle services, and OTA (over‑the‑air) updates showcase an approach where cars are part of a broader digital ecosystem. Xpeng and Li Auto deploy advanced driver-assistance systems and smart connectivity, reflecting a software-first philosophy. Xiaomi’s entry promises to accelerate this trend, leveraging expertise in consumer electronics and IoT to integrate cars into home and personal networks seamlessly.
European manufacturers, historically hardware-centric, are catching up. Volkswagen’s “Car.Software Organisation” and Mercedes’s MBUX system indicate a serious pivot toward software, but these initiatives often operate within legacy constraints, including older IT infrastructure, complex supply chains, and slower regulatory approval cycles for autonomous or connected features.
The divergence: China excels in rapid iteration, OTA updates, and digital-first consumer experiences. Europe maintains rigorous safety and build quality but risks lagging in digital agility. To unlock future potential, European makers must embed software culture throughout product development, while Chinese manufacturers must ensure software reliability, cybersecurity, and regulatory compliance as they scale internationally.
3. Brand and Market Positioning
European marques enjoy a near-immutable aura of prestige. Mercedes‑Benz conveys luxury, safety and history; Porsche radiates performance and desirability; Volkswagen commands global recognition. This brand equity translates into pricing power, customer loyalty, and resilience in volatile markets.
Chinese brands, by contrast, are emergent and regional. BYD has become synonymous with mass-market EV reliability, while Nio markets itself as a premium, technology-focused lifestyle brand. Xpeng and Li Auto appeal to tech-conscious buyers, and Xiaomi leverages its global electronics reputation to imbue credibility in the automotive sector. Internationally, however, Chinese brands still lack the deep cultural resonance and aspirational aura enjoyed by European marques.
The divergence: European companies possess decades of brand authority, but risk being perceived as slow-moving or conservative in the tech-driven EV era. Chinese brands are innovative and digitally appealing but must overcome global perception challenges. To unlock their potential, Europe needs to modernise its brand narrative for the digital age, positioning itself as a forward-thinking EV innovator. Chinese companies must continue international expansion while demonstrating quality, reliability, and service excellence to build enduring global reputations.
4. Growth, Scale and Profitability
Financial health and industrial scale determine who can endure disruption and invest in the future. European manufacturers generate substantial profits, leveraging diversified portfolios that span luxury and volume segments. Porsche’s margins are among the highest in the world, Mercedes-Benz maintains consistent profitability, and Volkswagen’s global reach ensures stability. Yet transitioning these massive operations to EV-first production entails enormous investment in new platforms, battery supply chains, and software infrastructure.
Chinese manufacturers, in contrast, are growing explosively, particularly in the domestic EV market, which is the world’s largest. BYD’s vertical integration, producing batteries, motors, and vehicles, improves both margins and supply resilience. Nio and Xpeng are still refining profitability models but benefit from strong growth and supportive industrial policies. Xiaomi’s entry brings capital strength and digital ecosystem leverage, accelerating scale and brand reach.
The divergence: Europe maintains robust profits but faces the cost of transformation; China enjoys rapid growth but profitability remains uneven. For Europe, unlocking potential means accelerating EV transitions efficiently while rationalising costs. For China, it means translating growth into consistent profitability and building global service infrastructure capable of supporting international expansion.
Who leads, and who needs to do what?
Taken together, the comparison is nuanced:
Europe leads in: heritage engineering, luxury and brand prestige, build quality, and global recognition.
China leads in: EV-specific architecture, software-driven ecosystems, rapid innovation, vertical integration, and growth velocity.
What Europe needs to do:
Embrace software and digital-first development at scale, integrating connectivity, OTA updates, and AI-driven features.
Modernise EV production without being encumbered by legacy ICE processes.
Revitalise brand narratives to align with younger, tech-centric consumers and EV enthusiasts.
What China needs to do:
Cement quality and reliability standards to match global expectations and premium positioning.
Expand global brand awareness and cultural resonance beyond Asia.
Demonstrate consistent profitability while scaling international production and service networks.
The ultimate future of the industry will not be dominated by one region. Rather, the winners will combine the strengths of both approaches: European rigour and brand authority with Chinese agility, digital innovation, and EV-first industrial strategy. Consumers will benefit as competition accelerates innovation, reduces prices, and expands choice — from ultra-luxury performance cars to smart, affordable EVs.
The future of automotive
Europe’s car makers remain formidable, offering heritage, engineering precision, and global prestige. Yet the rise of Chinese automotive firms signals a new era where software, digital ecosystems, and EV-specific innovation matter as much as horsepower and build quality. China is not merely catching up — in many dimensions, it is redefining what it means to be a modern car company.
Of course it is not just a story of Europe vs China. Most significantly, there is Tesla. Any many other brands from around the world. As well as all the classic American brands, which are similar to the European paradigm, there are the Japanese, Koreans, Indians and many more. But the story is not really about nations, it’s about mindset and capability, vision and transformation.
The next decade will likely see a hybridisation of strengths: Europe adapting to become more agile, digitally fluent, and EV-centric; China expanding globally, proving quality and reliability at scale, and leveraging software ecosystems to redefine the automotive experience. The question is no longer simply who is better today, but who can best integrate engineering excellence with digital intelligence and global ambition to dominate the future of mobility.
In short: Europe retains the crown in heritage and refinement; China holds the scepter of innovation and growth.
If you’re a business leader reading this at the start of a new year, you are probably feeling two things at once: the tired refrain of “we must do more with less” and the electric promise that something genuinely different is arriving.
The paradox of our age is that constraint and possibility co-exist more intensely than ever. For leaders in 2026 the task is not simply to endure the level of uncertainty — it is to make a decisive, humane, strategic response: to shape a clear manifesto of what you will stop, start and double down on in the months ahead.
Below is my practical, optimistic and slightly provocative playbook of new year resolutions for leaders who want to thrive — not just survive — in 2026 and the years beyond.
Of course you’ll find lots more big ideas, bite-sized actions, and deep dives into leaders and companies getting it right — brought together through inspiring keynotes, practical workshops and leadership support at peterfisk.com.
The context … why 2026 demands a manifesto
We are not moving into a “new normal” so much as a world of ongoing re-definition. The engines of change — generative AI, new supply-chain architectures, climate pressures, demographic shifts, geopolitical competition and rapidly changing customer expectations — are accelerating. For leaders this means two simultaneous realities:
Technology is embedding itself everywhere. AI and machine learning are already present across core business functions: product, customer service, operations, HR and strategy. A large and growing share of organisations now report AI use in at least one function; but the jump from experimentation to scaled, enduring value is still work in progress. The use of AI is widespread, even if transformation at scale is rarer.
Innovation is not optional. The companies that lead their markets are not merely faster at iteration; they re-write the rules of how value is created. Lists of the world’s most innovative companies show that leadership in 2025-26 comes from combining technological depth with business model creativity. If you do not invest in purposeful innovation now, competitors will.
These two realities give us a simple leadership rule for 2026: be more human in your intent and more machine-smart in your execution.
A manifesto: 12 resolutions every leader should make for 2026
Below are twelve concrete, behavioural resolutions — a manifesto you can adapt for your organisation. Each comes with a short practical action and an example of how a leader might live it.
1. Resolve to make clarity your advantage
Why: In complexity, clarity is a compass. Without it, you are lost in change, and energy leaks into peripheral debates. Action: Publish a single-page strategic charter by end of Q1 that states your “where to play” and “how to win” for 2026, and cascade it into three measurable outcomes per team. Big choices give direction, while retaining agility. Leader example: A CEO announces three public outcomes (customer retention %, NPS and net new revenue from a new product) and links all Q1 OKRs to these metrics. The result: faster decision-making and 20% improvement in time-to-market.
Why: AI is an operational lever — powerful, but only when tied to human judgements. Action: Create a “value-first AI” map: list five business problems where AI could reduce cost, increase revenue or unlock strategic insight; pilot two, measure ROI in 90 days. Leader example: A retail COO uses AI to cut supply-chain waste and reduce stockouts. Early pilots show a 6–8% inventory efficiency gain — a clear financial justification for scale. (Remember: many organisations use AI; only some have it at scale).
Why: Speed without rhythm leads to exhaustion; rhythm without flexibility creates irrelevance. Action: Move to a tri-modal cadence — a weekly tactical check, a monthly strategic review, and a quarterly re-vision day dedicated to trends and bets. Leader example: An executive team swaps a bimonthly board update for a quarterly “future day” where external experts and customers brief the team; the board begins to fund two experimental bets every quarter.
4. Resolve to invest in human capital as a product
Why: Talent mobility and skill obsolescence mean roles — and careers — are becoming products you must design. Action: Create “skill pathways” for key roles (AI literacy, ecosystem partnerships, experience design), and allocate 3–5% of payroll to micro-learning and rotation programmes. Leader example: A services firm offers rotations that pair consultants with data scientists for six-week sprints. Retention and cross-selling increase.
5. Resolve to put purpose in your business model, not on your press release
Why: Sustainability and social licence are now business imperatives, not marketing decorations. Action: Translate one purpose objective into revenue terms (e.g. circular design reduces raw material spend by X) and report it publicly alongside financial KPIs. Leader example: A food manufacturer redesigns packaging for recyclability, reducing material cost and unlocking new retailer listings.
6. Resolve to redesign customer value as a continuous journey
Why: Customers prize flexibility, speed and human care; lifetime value comes from repeated delight. Action: Map customer journeys end-to-end, identify three “moments of truth” and apply design experiments to each. Leader example: A bank eliminates a 10-step mortgage process and replaces it with a two-hour “approval lane” supported by AI triage and human underwriters.
Why: Products increasingly live in networks of partners; the ability to orchestrate ecosystems creates defensibility. Action: Identify two partner categories (tech, distribution) and design a partner playbook that aligns incentives for customer outcomes. Leader example: A SaaS vendor launches a marketplace for integrations, turning the product into a platform and adding new recurring revenue streams.
Why: Incremental change won’t survive structural shifts; new models create optionality. Action: Dedicate a seed fund (1–2% of revenue) to test subscription services, “as-a-service” transformations, or outcome-based pricing. Leader example: A manufacturing firm pilots “machines-as-a-service” and discovers a 25% uplift in lifetime customer value.
9. Resolve to remove friction from the organisation
Why: Bureaucracy is expensive and slows adaptation. Action: Run a “friction audit” — a two-week process to map approvals, handoffs and decision delays; eliminate or automate the top three. Leader example: A company automates compliance checks with an AI agent, cutting approval times by half.
10. Resolve to make ethical design a board conversation
Why: Ethics and regulation will be strategic issues for AI, data use and customer trust. Action: Add an ethical risk score to all major initiatives and brief the board quarterly on ethical and regulatory posture. Leader example: A firm establishes an ethics committee that signs off on generative-AI use cases; this reduces reputational incidents and eases regulator discussions.
11. Resolve to reimagine performance for hybrid futures
Why: Output, not occupancy, must define performance in distributed organisations. Action: Replace time-based KPIs with outcome-based objectives; tie a portion of variable pay to cross-functional outcomes. Leader example: An insurer shifts underwriting KPIs from “cases processed” to “loss ratio improvements” and improves underwriting quality.
12. Resolve to take the courageous leap
Why: Many leaders will iterate; a few will leap. A courageous leap is a deliberate decision to commit resources to a future that is not yet visible. Action: Identify one transformative bet (new market, new capability) and create a six-month launch plan with committed funding and a rapid measurement cadence. Leader example: A European retailer commits to a full experiential overhaul of its flagship stores, integrating digital and physical experiences; footfall and conversion rates rise materially.
How to convert resolutions into a practical operating plan
Resolutions become meaningful when translated into the language of budgets, people and timelines. Use this simple three-part framework to operationalise your manifesto:
Signal (what you will be measured on) — Choose three organisation-level KPIs for 2026 (e.g. X% revenue from new offerings, Y% reduction in customer churn, Z% of decisions powered by AI).
Structure (who is responsible) — Assign an owner and a cross-functional delivery squad for each KPI; give them a light governance process and a fixed runway.
Speed (how you learn) — Adopt a 90-day sprint model with weekly learning check-ins and a hard stop for either scale or kill.
Two practical tools to adopt immediately:
A Strategy One-Pager for the whole company.
A Value-First AI Roadmap that links each pilot to a tangible business metric.
Data helps ground ambition in reality. Here are a few load-bearing statistics you should know as you plan for 2026:
AI usage is widespread but scaling remains work in progress. Recent industry surveys report that a very high share of organisations now use AI in at least one function, with many firms experimenting with AI agents and generative tools — but only a minority have scaled AI to capture full enterprise value. This dichotomy means leaders must focus on measurable pilots with the intent to scale.
Investment and hype outpace enterprise scaling. Private investment into AI ventures remains immense, and chip-makers and cloud providers are doubling down; yet some surveys note that only a modest proportion of companies have AI implemented at scale, underscoring the need for clear ROI and governance.
Innovation leaders are diverse and sector-spanning. Independent rankings of the most innovative companies show that leading firms combine deep technical capability with new business models and ecosystems — from Waymo in mobility to healthcare and consumer champions across many industries. If you want to learn how to lead in 2026, study the ways these firms combine focus with ecosystem play.
These are not theoretical points. They inform the choices in your manifesto: prioritise clear use cases for AI, insist on measurable pilots, and treat innovation as a repeatable operating competency.
Leaders to learn from, and what they will do in 2026
For leaders seeking practical illustration, it helps to look at people who are translating strategy into results today. Below are short, contemporary profiles of leaders — male and female, global in scope — and the kinds of moves they are likely to double down on in 2026.
Satya Nadella … the builder of platforms and productivity
Satya Nadella has steered Microsoft from a legacy software vendor to a platform leader where cloud and AI are central. Nadella’s consistent emphasis has been on empowering people and organisations through platforms that combine cloud scale with productivity tools. He frames AI as a productivity multiplier and stresses the need for responsible, measured adoption. In 2026, expect leaders like Nadella to press on with integrating AI across productivity stacks while investing heavily in security, customers and ecosystem partnerships.
Lesson: Invest in platform thinking: make your product the core of an ecosystem rather than a standalone point solution.
Jensen Huang … the energy behind AI infrastructure
Jensen Huang at Nvidia has made accelerated computing the backbone of the AI era. His public messages treat AI as infrastructure — as fundamental as electricity — and that framing has shaped investment and partnerships in 2024–25. In 2026, leaders attuned to Huang’s thinking will treat compute strategy and partnerships as strategic assets and will design products that anticipate rising compute needs.
Lesson: View technology infrastructure as strategic capital. Secure partnerships and invest early in capabilities that future use cases will demand.
Jane Fraser … the architect of disciplined global banking
Jane Fraser has reshaped Citigroup by confronting complexity head-on. As the first woman to lead a major U.S. bank, she has driven a multi-year simplification agenda — exiting non-core markets, tightening strategic focus, and reorganising Citi around a smaller number of global businesses where it can genuinely win. Fraser combines strategic toughness with cultural renewal, modernising risk, technology and talent while reinforcing client trust. In 2026, expect Fraser to double down on operational excellence, AI-enabled risk and compliance, and scalable wealth and institutional services that play to Citi’s global strengths.
Lesson: Simplification is a growth strategy. Focus your organisation on where it can lead — and execute relentlessly.
Debra Crew … the operator bringing discipline to iconic brands
Debra Crew brought deep operational rigour to Diageo, applying decades of experience from PepsiCo, Mars and consumer multinationals to one of the world’s most powerful brand portfolios. Her leadership emphasised execution, productivity and commercial performance at a time when global consumer companies faced inflation, shifting demand and supply-chain volatility. Crew’s tenure underscored how brand power alone is not enough without disciplined delivery. In 2026, leaders shaped by this approach will focus on portfolio optimisation, premiumisation with restraint, and data-driven route-to-market strategies that protect margins while sustaining brand equity.
Lesson: Even the strongest brands need operational discipline; execution is the multiplier of strategy.
Tan Su Shan … the scaler of digital banking and AI at work
Tan Su Shan represents the next generation of Asian banking leadership — pragmatic, technology-fluent and commercially focused. Having played a central role in DBS’s decade-long transformation into one of the world’s most digital banks, she now leads with a clear mandate: scale what works. DBS has embedded AI deeply across credit, risk, operations and customer engagement, delivering measurable financial impact rather than isolated experiments. In 2026, Tan will push further into AI-driven productivity, ecosystem partnerships and sustainable finance, reinforcing DBS’s reputation as a technology company with a banking licence.
Lesson: Digital transformation only matters when it delivers real economic value — scale proven use cases fast.
Elliott Hill … the restorer of sport, culture and brand energy
Elliott Hill returned to Nike with one defining advantage: deep institutional memory combined with a clear-eyed view of what had drifted. Having grown up inside Nike over decades, he understands that the brand’s power lies at the intersection of sport, performance and culture. His early moves signal a reset — refocusing on athletes, product innovation and emotional connection, while simplifying organisational layers and strengthening partnerships. In 2026, expect Hill to prioritise fewer, better innovations, sharper storytelling, and a more balanced approach between direct-to-consumer and wholesale channels.
Lesson: When brands lose momentum, return to first principles — purpose, product and the people you exist for.
Practical tools and rituals to embed the manifesto
Words without rituals slip away. Here are workshop formats and leadership rituals that embed change:
1. The 90-Day Value Sprint (two days to scope, eight weeks to pilot, two weeks to measure)
Kick-off with a cross-functional team and clear success metrics.
Use rapid MVE (minimum viable experiment) thinking: small, measurable, reversible.
Demo results to the leadership board and decide scale/stop.
2. The Future Day (quarterly)
Invite external provocateurs and customer panels.
Top three activities: scenario mapping, competitor micro-briefs, the bold bet review.
Use the day to shift course or amplify investment.
3. Ethical Risk Table (monthly)
A short, structured review of any AI, data or reputational risks arising from live projects.
Create a simple red/amber/green score and assign fixes.
4. The Talent Swap (micro-rotation)
Six-week rotations pairing business leaders with technologists.
Builds empathy and cross-functional capability.
These rituals transform manifesto words into managerial muscle.
The reinvention playbook … time to put it into practice
“Reinvention” can sound like marketing candy. In practice, reinvention is an engineered process. Here is a condensed playbook you can use:
Diagnosis — Map where your business sits on S-curves: which products are maturing, which are emerging.
Signal — Articulate a bold, measurable future state (three outcomes).
Scaffold — Build a dual-structure: core business teams and a small, empowered reinvention unit with separate funding and freedom.
Experiment — Run a portfolio of fast experiments that test assumptions (price, model, distribution).
Scale — Double down on what works and kill quickly what doesn’t.
Institutionalise — Bake new capabilities into the core: new partnerships, skills, and leadership metrics.
This is not an academic exercise; it is how companies move from incrementalism to structural change.
Measuring progress … what good looks like in 12 months
Choose a small set of leading indicators — the things you measure daily or weekly — in addition to lagging financial KPIs. Examples:
Percentage of revenue from new products or channels (target: 20%+ in 12 months for ambitious reinvention).
Number of AI pilots with validated ROI (target: 4 pilots with positive ROI).
Employee skill readiness score for priority skills (target: 70% of target cohort certified).
Partner ecosystem NPS (target: improvement of 10 points).
Tie incentives to a mix of short-term delivery and medium-term capability building.
What the courageous leap looks like
Imagine a mid-sized European manufacturer with a strong brand but slowing growth. The CEO commits to a courageous leap: transform from selling components to delivering “performance as a service” (outcomes, not parts). Steps taken:
A one-page strategy signed by the board.
A seed fund of 1% revenue for experiments.
A cross-functional team to pilot a subscription plan for a key client segment.
Two AI pilots to predict downtime and optimise maintenance.
Quarterly customer co-creation sessions.
Within 12 months the company has a marketable subscription, two paying pilot customers and a measurable reduction in churn among top clients. This is not hypergrowth; it is structural reinvention that creates optionality and scales as the market accepts the model.
Your leadership checklist for the first 100 days of 2026
Publish your one-page strategic charter.
Run a friction audit and remove the top three blockers.
Launch two AI pilots tied to clear financial metrics.
Create a talent pathway for two critical skills.
Convene the first Future Day and publish three public outcomes.
Set up an ethics oversight process for AI and data.
Do these six things and you will have moved from aspiration to disciplined action.
How I can help … keynotes, workshops and strategic facilitation
If you want inspiration, structure and hands-on execution support, that’s precisely what I offer through keynotes, strategy work and workshops — practical sessions that convert trends into tangible business options. Here’s how I work with leaders and teams:
Inspiring keynote: A vivid, evidence-rich talk that frames the question (megatrends, 26 trends for 2026), mobilises the team and sets the agenda for change. The goal is to accelerate alignment and create urgency with a clear call to action.
Practical strategy workshops: Tailored, interactive sessions that produce a one-page strategy, a 90-day implementation plan and a risk-calibrated portfolio of experiments. These workshops are designed for leadership teams and the top 50–100 change agents in your organisation.
Leadership advisory: Ongoing support to accelerate the “reinvention playbook” — from designing new business models and ecosystem strategies to building AI literacy and ethical governance.
Custom masterclasses: Deep dives on topics such as “AI for commercial impact”, “Designing new business models” and “Leading through disruption”.
If you want to explore how we can work together, you can find practical resources, case studies and booking details at peterfisk.com. My work blends inspirational framing with practical, measurable plans that leaders can deploy immediately.
Final thought … be a leader who chooses the future
Leaders in 2026 will be judged not by how closely they cling to the past but by how intelligently they choose future possibilities. Choosing the future means three things:
You must be a steward of both present value and future value. Balance today’s cash flows with capacity to pivot.
You must design experiments as organisational routines. Reinvention is not a project; it is a muscle.
You must lead with human purpose and machine speed. Technology amplifies what leaders already care about; it does not replace that compass.
In the words of one modern CEO: “AI is the defining technology of our generation.” Use that claim as a challenge. Let it sharpen your purpose and your practice. Bookend your year with a manifesto and an outcomes sheet, and hold your leadership team to it.
If you would like, I can help you draft a bespoke one-page manifesto for your organisation, a 90-day sprint plan for two value-first AI pilots, or a tailored keynote to align your executive team around the resolutions above. Visit peterfisk.com to see examples and get in touch — or, if you prefer, tell me here which three resolutions you want to start with and I’ll draft a ready-to-use one-page strategy and sprint plan for you.
Happy new year!
How the long-run GDP research of Angus Maddison and the updated datasets from The Maddison Project at the University of Groningen frame the case that AI could accelerate healthcare, science, and innovation cycles enough to shift the global growth rate itself.
For most of human history, economic progress was so slow that it was almost invisible. A farmer in 1200 lived much like a farmer in 800. A merchant in 1500 was not dramatically richer than one in 1000. Growth existed, but it did not compound in a meaningful way.
That long stagnation—and the dramatic escape from it—is best understood through the work (between 1970 and 2010) of Angus Maddison. Over several decades, Maddison painstakingly reconstructed historical GDP and population data across countries going back nearly two millennia. His estimates, later refined and extended by The Maddison Project at the University of Groningen (2013-2020), gave economists something they had never truly possessed before: a quantitative map of civilization-scale growth.
That map reveals a startling pattern. For roughly 1,800 years, global per capita income barely increased. Annual growth hovered near zero—around 0.05–0.1%. At that pace, it would take a millennium for incomes to meaningfully double. This was the Malthusian world: technological improvements mostly translated into larger populations, not higher living standards
The First Acceleration: Industrialization
Around 1800, the Industrial Revolution changed the trajectory of growth. Mechanization, steam power, and factory production pushed leading economies toward sustained 1–2% annual per capita growth.
That shift may sound incremental, but compounding magnifies it dramatically:
1% annual growth ≈ 2.7× expansion per century
2% annual growth ≈ 7× expansion per century
For the first time in recorded history, living standards multiplied within a few generations. The growth curve bent upward.
The Second Acceleration: The 20th Century
The 20th century brought electrification, internal combustion, telecommunications, aviation, pharmaceuticals, and computing. Some advanced economies sustained 2–3% annual per capita growth for decades.
At 3% growth, output rises nearly 20× over a century.
The Maddison data thus reveals a pattern: growth is not linear. It occurs in rare step changes. When the underlying growth rate shifts even slightly, the long-term consequences are transformative.
That historical pattern sets the stage for the AI question.
The AI Extrapolation: Where “20× per Century” Comes From
The Maddison dataset does not predict AI-driven growth. The “20× per century” thesis is a modern extrapolation grounded in the mathematics of compounding.
If AI helps sustain:
~3% long-run annual per capita growth → ~20× per century
~4% growth → ~50× per century
~5% growth → >100× per century
The claim is not that this will happen automatically. The claim is that AI, as a general-purpose technology, could plausibly raise the long-run growth rate in the way steam power or electricity once did.
The core distinction is this:
Industrialization automated physical labor.
AI has the potential to augment or automate cognitive labor.
If cognition itself becomes scalable, the growth implications are different in kind, not just degree.
Healthcare: Compressing the Timeline of Discovery
One practical area where this matters is healthcare.
Drug development today often takes more than a decade. AI systems capable of predicting protein structures, simulating molecular interactions, and optimizing trial design could shorten that cycle.
The economic effects would compound:
Faster development of treatments
Lower long-term healthcare costs
Healthier, more productive populations
Longer working lives
In the 20th century, public health improvements significantly contributed to growth. AI could accelerate that channel again—by compressing innovation timelines.
Science and Energy: Unlocking New Constraints
Economic history shows that energy abundance is tightly linked to growth accelerations. Steam power, fossil fuels, and electrification all lifted production ceilings.
AI-assisted research could accelerate breakthroughs in:
Advanced materials
Battery storage
Nuclear fusion
Carbon capture
If discovery cycles shorten and experimental iteration speeds up, scientific progress itself accelerates. The result is not just higher output—it is a faster pace of unlocking new production possibilities.
Innovation Cycles: Speed as a Growth Variable
Perhaps the most radical implication concerns innovation speed.
Past general-purpose technologies required decades of infrastructure buildout. Electrification required new grids and redesigned factories. The internet required global networks and new business models.
AI, by contrast, is software. It can scale globally in years.
If AI reduces the time required for:
Software development
Legal drafting
Engineering design
Supply chain optimization
then the gap between idea and implementation shrinks. Shorter cycles mean faster feedback. Faster feedback means more rapid productivity gains.
In that world, growth feeds on itself.
The 20x Century
The difference between 2% and 4% annual growth is not dramatic in a single year. Over a century, it is the difference between a world that is seven times richer and one that is fifty times richer. Compounding turns marginal percentage shifts into civilizational divergence.
None of this is guaranteed. The Maddison data also teaches caution. Sustained growth accelerations are rare. They require institutional stability, capital investment, diffusion of knowledge, and political accommodation. The Industrial Revolution produced upheaval before prosperity generalized. AI could generate its own social and labor disruptions that shape its long-run trajectory.
But the broader perspective remains powerful. When plotted over two thousand years, economic history looks like a staircase: a long flat stretch, a sharp upward step around 1800, another acceleration in the 20th century. Each step corresponded to a general-purpose technology that changed the constraints of production.
The work of Angus Maddison provided the long arc. The Maddison Project at Groningen refined it and extended it. The “20× per century” AI hypothesis is an attempt to apply that long-run lens forward.
The essential question is not whether AI improves productivity at the margin. It almost certainly will. The deeper question is whether it alters the slope of the growth curve itself.
If it does—if AI meaningfully augments cognition, accelerates science, and compresses innovation cycles—future historians may look back on the early 21st century as another clear discontinuity in the data. And what appears today as a small shift in annual growth rates may ultimately define the economic character of the century.
2026 is the year the future gets real. Not just in terms of the ever -ccelerating technological possibilities, but in the practical, commercial, human reshaping of economies, cultures, consumption, work, and leadership.
The turbulence of the past decade — pandemic, inflation, supply chain shocks, climate chaos, geopolitical fragmentation, demographic disruption, and AI’s sudden ignition — converges into a moment where every business must rethink what it does, how it creates value, and what it stands for.
We are witnessing not merely incremental shifts but the remapping of human priorities, the redesign of market systems, and the reinvention of business models.
Consumers are more intentional, selective, contradictory, and experimental. Technology is more ambient, embedded, personalised and intelligent than ever before. Brands are increasingly porous, community-driven, and culturally entangled. Economies are shifting north, south, east and west. Work is becoming more fluid. Talent is becoming borderless. And companies are being judged not only on what they make, but on the ecosystems, behaviours, and impact they generate.
I spend my working life searching the world for new ideas, opportunities and innovations; working with some of the most interesting business leaders from each continent, scanning the latest trends and reports. My projects in 2025 have taken me from banking in Brazil to retail in Mexico, insurance in Japan to fertiliser in Morocco, tech in Germany to food in Saudi Arabia, construction in Egypt and luxury goods in Switzerland.
So here is my curation of the 26 most impactful business trends for 2026 — those that will shape markets, define industries, influence customers, and accelerate or threaten growth. They span consumer culture, technology, business models, leadership, economics, marketing and brand behaviour. Together, they provide a strategic lens for leaders preparing to navigate the most opportunity-rich — and risk-filled — commercial landscape in decades.
Trend 1: Algorithmic Everything
AI and algorithmic systems are the operational backbone across industries. Algorithms anticipate needs, optimise supply chains, orchestrate workflows, and personalise services. From healthcare to fashion, logistics to marketing, organisations embedding AI as a strategic foundation transform operations and decision-making. Algorithmic mastery accelerates innovation, reduces human error, and generates predictive insights that redefine competitive advantage. Businesses converting AI into an enterprise-wide platform gain continuous improvement loops, operational resilience, and new business models.
Leadership actions: Executives must prioritise AI literacy, integrate predictive intelligence into strategy, and align teams around human-machine collaboration. Decision-making increasingly relies on algorithmic insight.
Example: Relativity Space (USA) Relativity Space uses AI-driven generative design and autonomous 3D printing to produce rockets. Each print cycle informs material science and engineering improvements, compressing timelines from years to months. Predictive maintenance, rapid prototyping, and scalable production illustrate how algorithmic intelligence transforms manufacturing and strategy.
Trend 2: Biofused Living
Biotechnology, materials science, and computation converge to create regenerative, circular systems. Products self-heal, biodegrade, or convert waste into resources, transforming production in food, fashion, construction, and energy. Bio-design enables sustainable, resilient operations and functional, ethical, ecological products that resonate with conscious consumers. Living systems shift sustainability from marketing claim to operational strategy, driving circularity, efficiency, and long-term resilience. Companies embedding biofused processes unlock value while reducing environmental impact, bridging science, design, and consumer engagement.
Leadership actions: Leaders should foster cross-disciplinary innovation, invest in R&D, and integrate sustainability into strategy as a source of growth and differentiation.
Example: Bolt Threads (USA) Bolt Threads creates sustainable textiles using engineered proteins, including spider silk and mycelium leather. These materials are biodegradable, high-performance, and reduce environmental impact. By integrating bio-design into fashion, Bolt Threads demonstrates regenerative production while delivering premium, innovative products.
Trend 3: Cognitive Experiences
Consumer experiences increasingly combine neuroscience, behavioural design, AI, and sensory engagement. Experiences adapt dynamically to attention, emotion, and context, enhancing memory, engagement, and satisfaction. Retail, hospitality, entertainment, and digital platforms optimise cognition while creating emotional resonance. Functional utility and experience blur, making experiences as valuable as products. Organisations mastering cognitive design improve loyalty, retention, and cultural impact. Adaptive experiences turn routine interactions into personalised, emotionally meaningful journeys, providing differentiation in attention-fragmented markets.
Leadership actions: Leaders should integrate behavioural science into product and service design, invest in adaptive experience technology, and track emotional engagement as a KPI.
Example: Calm (USA) Calm delivers AI-driven, personalised meditation and wellbeing experiences. The platform adapts content to users’ stress levels, moods, and goals, blending neuroscience, behavioural design, and digital interface. This demonstrates cognitive experiences enhancing emotional and mental engagement while fostering loyalty.
Trend 4: Decentralised Networks
Power, commerce, and value creation shift from hierarchies to distributed digital, physical, and hybrid networks. Peer-to-peer marketplaces, community platforms, and decentralised governance enable scalability, resilience, and co-creation. Organisations acting as ecosystem orchestrators gain influence through network effects rather than command-and-control structures. Distributed systems empower smaller players, enhance participation, and foster innovation. Businesses leveraging networks can access diverse talent, engage consumers directly, and unlock scalable growth. Distributed networks are reshaping commerce, work, and content creation.
Leadership actions: Executives should embrace platform thinking, facilitate community engagement, and enable value creation through network orchestration rather than direct control.
Example: Aragon (Spain) Aragon builds decentralised governance platforms using blockchain, enabling organisations and communities to manage resources and decision-making without centralised control. This empowers distributed collaboration, autonomy, and scalable ecosystems, illustrating how decentralised digital worlds redefine organisational structures.
Trend 5: Emerging Affluence
Rapidly growing middle and affluent classes in Africa, Asia, and Latin America redefine global consumption. Digitally connected, aspirational, and culturally influential, these consumers drive demand for accessible luxury, wellness, mobility, and fintech solutions. Businesses must design offerings that respect local context while meeting aspirational expectations. Emerging affluence often leapfrogs Western models, creating opportunities for innovation in pricing, service, and digital infrastructure. Companies that understand cultural nuance and income elasticity unlock sustainable growth while engaging diverse consumer identities.
Leadership actions: Leaders should prioritise local market insight, cultural relevance, and scalable digital infrastructure to capture emerging middle-class demand.
Example: Mercado Libre (Argentina) Mercado Libre provides e-commerce, payments, and logistics infrastructure across Latin America. By addressing middle-class needs for convenience, trust, and cultural relevance, it enables participation in modern digital economies. Starting as a marketplace like eBay, it now dominates fintech and e-commerce, illustrating how understanding local contexts drives growth.
Trend 6: Fluid Workforces
Workforces are increasingly modular, global, and hybrid. Talent flows between projects, companies, and platforms, supported by AI augmentation. Hybrid human-machine teams, freelancers, fractional executives, and automated agents provide agility, scalability, and resilience. Organisations must manage dynamic teams across geographies while fostering purpose, autonomy, and culture. Flexible workforces allow rapid response to market changes, cross-disciplinary problem-solving, and operational efficiency, redefining talent as a strategic, movable asset.
Leadership actions: Leaders need to focus on culture, engagement, and ecosystem orchestration rather than direct oversight. Recruitment, retention, and upskilling strategies must embrace flexibility and autonomy.
Example: Upwork (USA) Upwork connects freelancers with companies worldwide, enabling flexible, project-based work. The platform supports distributed teams and adaptive talent allocation, demonstrating how fluid workforce models drive agility, scalability, and market responsiveness.
Trend 7: Green Supertech
Climate innovation now relies on advanced engineering and science rather than incremental sustainability. Fusion energy, carbon capture, precision agriculture, renewable energy, and battery breakthroughs drive decarbonisation at scale. Companies integrate technology, infrastructure, and industrial capacity to deliver profitable environmental solutions. Green supertech turns sustainability from narrative to operational imperative, creating measurable environmental impact while generating new business models. Organisations mastering these technologies achieve competitive advantage, system-wide transformation, and long-term resilience in climate-conscious markets.
Leadership actions: Executives must invest in frontier climate technologies, integrate sustainability into core strategy, and measure impact rigorously. Strategic adoption of green supertech defines market leadership.
Example: Climeworks (Switzerland) Climeworks captures CO₂ directly from air and provides carbon removal services for businesses. Its modular technology delivers measurable impact while creating scalable climate solutions. Climeworks demonstrates how advanced environmental technology can combine profit with purpose, setting a benchmark for green innovation.
Trend 8: Human Augmentation
Technology increasingly enhances physical, cognitive, and emotional capabilities. Wearables, exoskeletons, neurotech, and AI-enabled interfaces improve productivity, performance, wellness, and decision-making. Human+ solutions extend lifespan, enhance skill sets, and transform work structures. Companies embedding augmentation into products and services unlock new markets while improving quality of life. Ethical considerations—privacy, accessibility, autonomy—are central as augmented humans redefine societal norms, job expectations, and personal capabilities.
Leadership actions: Leaders must balance innovation with ethics, invest in workforce augmentation, and prepare teams for hybrid human-machine collaboration.
Example: Mizuno (Japan) Mizuno’s Well-Aging programs combine wearable technology, mobility support, and social engagement for older adults. This initiative extends independence, resilience, and quality of life while creating a market for human-centric performance solutions.
Trend 9: Identity Consumption
Consumers increasingly make choices reflecting personal, social, and ethical identity. Purchases convey values, lifestyle, and cultural affiliation. Identity-driven markets shape fashion, wellness, digital products, and sustainability. Brands that authentically align with identity codes cultivate loyalty, advocacy, and emotional resonance. Social media amplifies expression, making identity a strategic asset. Understanding fluid, multi-layered identities enables companies to co-create products, services, and experiences that deeply engage consumers.
Leadership actions: Leaders should prioritise authenticity, culture alignment, and personalised engagement strategies to capture identity-conscious markets.
Example: NewJeans (South Korea) NewJeans blends fashion, gaming, and lifestyle collaborations to create identity-rich consumer experiences. Fans adopt products as self-expression, merging digital-native aesthetics with cultural relevance. The brand exemplifies how identity-driven engagement drives loyalty, advocacy, and market influence.
Trend 10: JoyTech
Technology increasingly provides emotional, sensory, and lifestyle benefits beyond productivity. Smart devices, entertainment platforms, and services are designed for delight, engagement, and wellbeing. JoyTech integrates play, creativity, and emotional resonance into daily life. Companies embedding joy into design capture attention, loyalty, and cultural influence. Emotional technology turns small, interactive moments into memorable experiences, differentiating brands in saturated markets and establishing long-term preference.
Leadership actions: Leaders should integrate joy into product design, measure emotional engagement, and explore playful, sensory experiences as a differentiator.
Example: Beat Saber (Slovakia) Beat Saber combines VR, music, and motion-based gameplay to deliver immersive, joyful experiences. Users interact physically and socially, blending entertainment with exercise. The platform illustrates how emotional, playful technology drives engagement and global cultural impact.
Trend 11: Kinetic Cities
Urban environments are becoming adaptive systems integrating mobility, energy, climate resilience, and digital infrastructure. Smart grids, autonomous transport, real-time optimisation, and responsive buildings redefine urban living. Kinetic cities address congestion, pollution, extreme weather, and social equity while creating livable, resilient spaces. Urban systems operate as continuous feedback loops, merging physical space with digital intelligence, unlocking new service and business ecosystems.
Leadership actions: City leaders and businesses must invest in integrated infrastructure, coordinate across sectors, and leverage data for urban resilience and efficiency.
Example: Uber Elevate (USA) Uber Elevate pilots electric VTOL aerial mobility integrated with smart traffic networks. By combining infrastructure, technology, and analytics, it demonstrates how kinetic systems can transform urban transport, accessibility, and sustainability.
Trend 12: Liquid Learning
Learning is continuous, adaptive, and embedded in daily work. AI personalises education, simulations replicate real-world scenarios, and micro-credentials create stackable skills. Learning flows across careers, devices, and contexts, enabling lifelong adaptability. Organisations embedding liquid learning into culture and operations gain agility, resilience, and innovation capacity. Employees continuously upskill while performing work, turning knowledge into a strategic asset and preparing for rapidly changing markets.
Leadership actions: Leaders should integrate learning into workflow, provide AI-enabled personalisation, and foster a culture of continuous skill development.
Example: Degreed (USA) Degreed provides a platform that aggregates courses, articles, videos, and on-the-job experiences into personalised learning journeys. AI recommends skills to acquire based on role, career goals, and performance data, enabling continuous, just-in-time upskilling. Companies using Degreed embed learning into daily work, creating agile, future-ready teams.
Trend 13: Market Convergence
Market Convergence describes how once-separate industries, categories, and value chains increasingly overlap, collide, and merge. Boundaries between technology, finance, retail, healthcare, mobility, media, and energy are dissolving as platforms, data, and ecosystems connect multiple needs into unified experiences.
Consumers no longer think in categories; they expect solutions that combine services, products, and experiences seamlessly.
Growth comes from recombining capabilities—payments embedded in commerce, health integrated into insurance, mobility bundled with energy. The winners are those who redefine markets instead of protecting them.
Leadership actions:
Map where your industry is converging with others and identify adjacent capabilities to integrate or partner with. Shift strategy from category defence to ecosystem design. Build collaboration muscle, platform thinking, and flexible governance to compete across blurred market boundaries.
Example: Ant Group (China)
Ant Group exemplifies Market Convergence by integrating payments, finance, commerce, credit, insurance, and lifestyle services into a single digital ecosystem. Originating in fintech, it expanded across retail, mobility, and everyday services, reshaping consumer expectations. Ant demonstrates how convergence creates powerful new markets by unifying fragmented needs into seamless platforms.
Trend 14: New Middle
Urban middle classes in Southeast Asia, India, and Latin America are reshaping purchasing patterns. These consumers value quality, affordability, convenience, and digital access. Emerging middle markets drive innovation in financial inclusion, mobility, healthcare, and retail. Brands must combine local insight with scalable digital infrastructure to win loyalty and growth. Understanding income elasticity, aspirational consumption, and digital adoption is key for early market leadership.
Leadership actions: Leaders should design culturally relevant products and services, leverage digital channels, and scale infrastructure to reach rapidly growing middle-class segments.
Example: Jumia (Nigeria) Jumia provides online shopping, payments, and logistics solutions tailored to African middle-class consumers. By improving accessibility and affordability, it enables participation in digital commerce while building scalable infrastructure and market trust.
Trend 15: Optimised Wellness
Wellbeing is evolving into integrated systems combining mental, physical, emotional, and social health. Digital platforms, AI diagnostics, and personalised wellness services make holistic health accessible and measurable. Consumers and organisations expect proactive interventions and continuous monitoring. Optimised wellness integrates performance, longevity, and emotional satisfaction, turning health into a strategic differentiator. Companies providing seamless, data-driven wellness ecosystems increase loyalty, engagement, and brand relevance.
Leadership actions: Leaders should embed wellness into products, workplace culture, and digital services, measuring impact and engagement as part of strategic priorities.
Example: Cerebral (USA) Cerebral provides mental health services via digital therapy, medication management, and continuous care. By reducing stigma and improving accessibility, it makes wellness habitual, personalised, and measurable, exemplifying scalable holistic health solutions.
Trend 16: Positive Business Models
Businesses are embedding ecological and social impact into core strategy. Operations, products, and supply chains are designed to restore ecosystems, enrich communities, and enhance planetary resilience. Circular design, biomimicry, renewable inputs, and ethical sourcing become standard. Net positive business models balance profitability with stewardship, creating shared value for stakeholders, and enable companies to become platforms for good. Companies adopting regenerative strategies redefine competitive advantage, aligning environmental and societal contributions with long-term business success.
Leadership actions: Leaders should integrate regenerative practices into strategy, measure environmental and social impact, and communicate authenticity to stakeholders.
Example: Interface (USA) Interface pioneers regenerative flooring, combining recycled materials, modular design, and biomimicry. Its operations achieve net-positive impact while maintaining profitability, showing how sustainability can drive competitive advantage and commercial success.
Trend 17: Quantum Ready
Quantum computing is moving from experimental labs to strategic applications. Early use focuses on optimisation, cryptography, simulation, and materials discovery. Organisations develop quantum-literate teams, hybrid workflows, and experimental algorithms to prepare for disruption. Quantum-readiness accelerates innovation, reduces complexity, and provides first-mover advantages in logistics, energy, pharmaceuticals, and manufacturing. Early strategic exploration enables problem-solving capabilities beyond classical computing, creating competitive differentiation and future-ready infrastructure.
Leadership actions: Leaders should invest in quantum R&D, train teams in quantum literacy, and explore hybrid algorithms for operational advantage.
Example: D-Wave (Canada) D-Wave provides quantum annealing systems for optimisation problems in logistics, energy, and finance. Companies use D-Wave’s platforms to experiment with quantum algorithms, accelerating problem-solving and operational efficiency. This highlights practical enterprise applications of quantum computing beyond theoretical research.
Trend 18: Recommerce Revolution
Resale, rental, and refurbishment are mainstream, driven by circular economy principles. Consumers demand convenience, trust, and quality when engaging with pre-owned goods. Recommerce spans fashion, electronics, furniture, and luxury, growing faster than conventional retail. Platforms, peer-to-peer marketplaces, and authentication services facilitate engagement while reducing waste. Companies integrating recommerce unlock revenue streams, build community, and enhance credibility. Circular consumption becomes strategic rather than niche.
Leadership actions: Leaders should design recommerce options, build trust through verification, and integrate circular principles into business models for growth and loyalty.
Example:The RealReal (USA) The RealReal is a luxury consignment platform that authenticates and sells pre-owned designer goods. It provides trust, verification, and convenience, making high-end resale mainstream. This example shows recommerce can scale globally, combine sustainability with premium brands, and generate new revenue streams.
Trend 19: Small Luxury
Consumers seek small, emotionally resonant indulgences that deliver status, pleasure, or wellbeing without extreme cost. Small (or “soft”) luxury spans boutique experiences, skincare, fashion, speciality foods, and personalised services. These products offer authenticity, sensory delight, and storytelling, turning everyday indulgences into identity statements. Micro-luxuries satisfy aspirational desires while remaining accessible, amplified by social media visibility. Emotional resonance and narrative depth are essential for brand success.
Leadership actions: Leaders should focus on craft, storytelling, and emotional design to create premium-feel experiences that engage aspirational consumers.
Example: Sulwhasoo (South Korea) Sulwhasoo combines traditional herbal expertise with premium packaging and ritualised use. Its products create accessible luxury experiences, blending heritage, craftsmanship, and emotional satisfaction, appealing to aspirational global consumers.
Trend 20: Time-Shifted Living
Time-Shifted Living reflects how people reorganise life around flexibility rather than fixed schedules. Work, consumption, entertainment, learning, and wellness increasingly happen asynchronously—on demand, remotely, and across time zones.
Technology enables people to reclaim control over when and how they engage, breaking traditional boundaries between work and life. This shift reshapes cities, offices, retail, education, and media, rewarding organisations that design for flexibility, availability, and responsiveness.
Leadership actions:
Redesign systems around flexibility and outcomes, not fixed schedules. Enable asynchronous collaboration, on-demand services, and modular engagement. Rethink performance metrics, customer access, and employee wellbeing to align with time sovereignty rather than traditional nine-to-five models.
Example: Netflix (USA)
Netflix epitomises Time-Shifted Living by enabling global audiences to watch content anytime, anywhere. Its on-demand model breaks linear scheduling, empowering users to control when and how they engage. This flexibility reshaped entertainment consumption worldwide and set new expectations for convenience, personalisation, and autonomy across digital services.
Trend 21: Unbundled Choice
Unbundled Choice describes the disaggregation of traditional products and services into modular components that consumers can mix, match, and pay for selectively. Rather than buying bundled offerings, people choose exactly what they need—features, access, time, or outcomes.
This trend reflects demand for transparency, control, and fairness. Digital platforms accelerate unbundling by reducing distribution costs and enabling customisation at scale. Industries from finance and education to media and mobility are being reshaped as value is atomised and reassembled around individual needs. For organisations, unbundling creates new revenue streams, sharper value propositions, and opportunities to serve niche segments. However, it requires clear articulation of what truly creates value.
Leadership actions:
Audit where value is bundled unnecessarily. Break offerings into clear, modular components and price transparently. Use data to understand which elements customers truly value, and design flexible models that allow recombination without eroding trust or coherence.
Example: Revolut (UK)
Revolut delivers Unbundled Choice by offering modular financial services—payments, savings, crypto, insurance, and subscriptions—allowing users to choose what they need. This flexibility challenges traditional banking bundles and gives customers control, transparency, and personalised value within a single digital
Trend 22: Value from the Void
Value from the Void captures how scarcity, absence, and minimalism become sources of meaning and economic value. In an always-on world, emptiness—silence, space, simplicity, and restraint—becomes desirable. Brands create value by removing noise, features, or excess, offering clarity, calm, and focus instead.
This trend applies to design, digital products, wellness, luxury, and leadership itself. Less becomes more when it restores attention, energy, and purpose. Value from the Void challenges growth-through-addition models, replacing them with intentional subtraction. Companies that understand this create differentiation by knowing what not to do, not say, or not sell—transforming restraint into strategic advantage.
Leadership actions:
Practice strategic subtraction. Identify complexity that no longer adds value and remove it. Design for clarity, calm, and focus. Reward teams for simplification and discipline, and measure success not only by growth, but by reduction of friction and noise.
Example: B&O (Denmark)
Bang & Olufsen turns simplicity and emptiness into value through elegant, minimalist audio products. By reducing visual and functional clutter, it creates emotional and sensory impact, positioning luxury as both restraint and experience.
Trend 23: Weightless Growth
Growth increasingly comes from intangible assets such as brand, data, IP, and networks. Organisations focus on digital platforms, ecosystems, and content rather than physical expansion. Weightless growth reduces capital intensity while increasing speed and scalability. Intellectual property, community influence, and software-as-infrastructure are primary levers. Companies mastering weightless growth capture value through relational and informational assets, enabling high-margin, networked expansion.
Leadership actions: Leaders should prioritise intangible asset development, platform strategy, and network effects over physical scale to drive sustainable growth.
Example: Spotify (Sweden) Spotify scales globally via curated playlists, algorithms, and community networks rather than physical assets. Its value derives from data, brand, and network effects, exemplifying weightless growth at scale.
Trend 24: Xenostalgia Futures
Xenostalgia merges nostalgia with forward-looking innovation. Products and experiences evoke past eras—retro interfaces, analog warmth—while integrating modern technology. This emotional anchoring provides comfort and cultural resonance, balancing novelty with familiarity. Companies leverage xenostalgia to engage multiple generations, create storytelling depth, and differentiate products. Applied across fashion, tech, and media, xenostalgia strengthens brand identity while embracing innovation.
Leadership actions: Leaders should combine heritage design cues with modern innovation to evoke emotional resonance while appealing to forward-looking markets.
Example: Nothing (UK) Nothing blends retro-futurist aesthetics with modern tech through transparent hardware and minimalist design. Its products feel familiar yet innovative, exemplifying xenostalgia-driven design for engagement and differentiation.
Trend 25: Youthquake Cultures
Younger generations disrupt industries with digital fluency, creativity, and social activism. Sustainability, inclusivity, and identity fluidity shape aesthetics, behaviour, and products. Youth-driven networks accelerate trend adoption, influence markets, and redefine brand relevance globally. Authentic engagement enables co-creation, virality, and long-term cultural resonance. Organisations tapping into youth movements gain energy, creativity, and advocacy while embedding themselves in cultural zeitgeist.
Leadership actions: Leaders must authentically engage youth, foster co-creation, and embrace cultural experimentation to remain relevant and innovative.
Example: TikTok (China) TikTok empowers young creators to produce, remix, and share content worldwide. Its algorithm amplifies creativity, cultural trends, and activism, illustrating youth-driven platforms’ global influence on markets and culture.
Trend 26: Zero-Friction Experiences
Experiences are designed to eliminate effort, delay, and complexity. Seamless integration of payments, mobility, smart homes, and services creates anticipatory, intuitive interactions. Ambient intelligence reduces cognitive load while enhancing convenience, speed, and trust. Zero-friction design reshapes retail, finance, healthcare, mobility, and home ecosystems. Automation, AI, and connectivity allow services to feel immediate, personalised, and effortless, enabling people to focus on meaningful activities.
Leadership actions: Leaders should integrate automation, AI, and service design to remove friction and enhance convenience, satisfaction, and loyalty.
Example: Nuro (USA) Nuro uses autonomous vehicles to deliver groceries and essentials directly to consumers. Its AI-driven logistics remove barriers of time, transport, and human interaction, creating seamless, frictionless experiences that redefine service delivery.
Connecting the dots … the 5 metashifts that matter
Across the 26 trends, five structural meta-shifts emerge. These are the deep undercurrents — the forces that weave through industries, geographies, and consumer cultures, giving shape to the new global economy. They explain why the trends are happening, and where markets will move next.
Together, they define the new rules of competition, value creation and leadership.
Metashift 1: Consumption becomes cultural rather than transactional
The old logic of buying as a functional exchange based on price, convenience, or availability, is being replaced by a cultural logic built on identity, emotion, aspiration and belonging. People don’t simply “purchase”; they perform who they are through what they choose.
Consumers increasingly seek:
Narratives that reflect their values
Products that express identity
Brands with emotional resonance
Experiences that feel meaningful, connective or status-enhancing
It’s not just Gen Z; this shift spans generations. Consumption becomes a form of cultural participation. Fashion, food, finance, travel, mobility, even utilities are reframed through the lens of lifestyle, symbolism and self-construction.
This accelerates:
The micro-culture explosion
The rise of “meaningful premium”
Purpose-led demand
Local cultural fusion in global markets
The revival of craft, personalisation and story-driven commerce
In this world, companies win by designing for identity, not just demand.
Metashift 2: Technology becomes invisible, ambient and intelligent
AI no longer sits inside tools — it dissolves into the environment.
Intelligence becomes:
Secure-by-design — trusted, governed and accountable
Consumers stop thinking about “using AI”. They simply experience smarter journeys, anticipatory interfaces, seamless automation and personalised worlds. Business becomes algorithmically tuned, from supply chains and pricing to creativity and customer dialogue.
This shift enables:
Mass personalisation at affordable cost
Dynamic business models
Zero-friction services
Predictive operations
Hyper-resilient systems
More imaginative human roles
Technology fades from sight but strengthens everything it touches.
Metashift 3: Work becomes fluid, borderless and machine-augmented
The workplace of 2026 looks more like an ecosystem than a company. Talent moves fluidly between projects, platforms and geographies. The best work blends:
Human imagination, ethics, empathy and creativity
Machine intelligence, speed, pattern detection and simulation
Employees expect autonomy, meaning, growth and wellbeing. AI becomes a partner rather than a tool. Organisations that resist this shift suffer talent drain and creative stagnation.
This shift fuels:
The rise of talent marketplaces
Poly-skilled careers
Exponential productivity for small teams
Human-only work becoming more valuable
Continuous reskilling becoming cultural rather than remedial
The companies that thrive are those that build high-human organisations augmented by high-intelligence systems.
Metashift 4: Business models shift from products to ecosystems
The world is moving from discrete offerings to interconnected value networks.
A business is no longer defined by what it sells, but by the ecosystem it enables.
This means:
Evolution from linear to circular systems
Data-rich, multi-sided platforms
Modular value chains
Network economics replacing unit economics
Partnerships replacing ownership
Ecosystems expanding into adjacent sectors
Ecosystems enable faster innovation, greater customer lifetime value, richer insight cycles and defensible competitive advantage. They are the architecture of tomorrow’s global winners.
Metashift 5: Brands become communities, citizens and cultural participants
Brands can no longer rely on messaging alone. They must act their values, contribute to society and participate in culture. The power centre shifts from companies to communities.
Winning brands in 2026:
Build belonging, not just awareness
Represent movements, not markets
Create participation, not passive consumption
Signal values, not just benefits
Contribute to social, cultural or planetary progress
From global giants to niche collectives, the brands shaping 2026 are cultural engines — shaping identity, supporting creativity, enabling self-expression and fostering shared experience.
What should business leaders do now?
To win in this new landscape, leaders must rethink what value means, how organisations create it, and how they amplify it in the market. These are the urgent moves that determine who thrives, and who falls behind.
Here are my 7 practical imperatives for business leaders to build advantage in 2026 and beyond:
1. Reinvent value around meaning, wellness, identity and joy
People are buying experiences that enrich their lives emotionally, mentally and socially. Define your value proposition not around features, but around how it helps people feel, express, belong and grow. Shift from utility to significance.
2. Build ambient AI into products, processes and experience design
Move beyond AI tools to AI infrastructure. Make intelligence a default setting: powering personalisation, predicting demand, accelerating creativity, enhancing service and reducing friction. Invisible AI is the new competitive baseline.
3. Transition from linear businesses to ecosystems and platforms
Ask: what can we enable, not just what can we sell? Identify partners, data layers, communities and complements. Build multi-sided growth engines that unlock new revenues, reduce risk and scale faster than standalone offerings.
4. Design for fragmentation — micro-audiences, micro-cultures, micro-moments
Mass markets are dissolving. Segment by culture, not by demographics. Build portfolios of tailored propositions, dynamic content, adaptive pricing, location-specific formats and culturally attuned storytelling. Relevance now lives at the edges.
As AI automates more knowledge work, the human differentiators become more valuable. Build organisations where imagination thrives, ethics guide decisions, creativity is systemic, and empathy shapes product design. Human value becomes brand value.
6. Champion climate adaptation and resilience as economic opportunity
This is no longer CSR — it is strategy. Climate volatility is reshaping supply chains, insurance, energy, real estate and consumer priorities. Invest in resilience systems, low-carbon models, and climate-positive innovation. Profit lies in prevention and regeneration.
7. Make your brand a community engine, not a communications function
Shift from broadcasting to belonging. Build platforms for participation, spaces for conversation, and rituals that unite people. Act less like a corporation and more like a cultural catalyst. Brands that create connection will dominate the decade.
Make your 2026 a great year!
2026 is not the destination — it is the inflection point. A moment when technology, humanity, culture, nature, and ambition collide to create entirely new possibilities for value, impact and growth. The businesses that thrive will be those that embrace reinvention, act boldly, learn fast, collaborate widely, and place human potential at the heart of their strategy.
