Peter Fisk

Do customers care about banks, or about their wealth? Do they care about insurance, or their protection and peace of mind? Do they care about cars, or travel?

Michelin got it right. The French tyre brand always said it was about the journey, not the rubber. And as a result, it was able to add value in more human, more relevant and inspiring ways – from better maps to the best restaurants.

In a world of rapid change, defining your business by traditional sectors – like banking, retail, telecommunications, or automotive – is increasingly limiting. Conventional categories frame the conversation around products or services, not the outcomes customers truly care about. Businesses that cling to these outdated labels risk irrelevance and missed opportunities for growth and innovation.

A more powerful approach is to reframe markets in customer-centric market “spaces”.

These “spaces” are defined not by what you sell, but by the human outcomes you enable: the experiences, goals, and aspirations your customers seek. By thinking in terms of spaces rather than sectors, companies can create far more relevance, unlock new value, and identify opportunities that conventional market definitions obscure.

When somebody asks you, what kind of business are you, think about your space, not your sector.

What are spaces?

For most of the 20th century, companies defined themselves by the industries they operated in and the products they sold. Banks belonged to “financial services,” carmakers to “automotive,” hospitals to “healthcare,” retailers to “grocery” or “apparel.” Strategy was industry-centric: benchmark competitors, gain market share, defend (increasingly limited) margins.

But that world no longer fits the way consumers live or the way markets evolve. Technologies converge, industries blur, and consumers no longer live their lives in neat silos. What matters to people are not categories but outcomes — mobility, well-being, security, belonging, joy.

This is the essence of the shift from product-centric sectors to human-centric spaces.

A space is defined by the human aspiration at its core, not the product that delivers it.

• Instead of “financial services” your space could be wealth, or enablement, or security, or more.

• Instead of “automotive” your space could be mobility, or freedom, or status, or more.

• Instead of “healthcare” your space could be wellbeing, or fitness, or longevity, or more.

• Instead of “media” your space could be entertainment, or learning, or connection, or more.

This redefinition matters because consumers do not buy sectors; they pursue goals. They do not want a mortgage — they want a home. They do not want a car — they want convenience, safety, or status. They do not want a hospital — they want health and vitality.

Why spaces matter more than sectors

1. Consumers live in spaces, not sectors … Consumers never wake up wanting “financial products.” They want peace of mind, opportunity, and prosperity. By aligning with life aspirations, companies become more relevant, trusted, and emotionally resonant.

2. Boundaries are blurring … Tesla competes in automotive, energy, and software. Apple competes in computing, music, health, finance, and entertainment. Amazon is simultaneously a retailer, cloud provider, film studio, and healthcare entrant. Defining competitors by industry makes leaders blind. Defining by spaces clarifies who and what you’re really up against.

3. Spaces spark innovation … By focusing on customer aspirations, companies open new fields of play. Nike innovates in digital fitness communities, not just sneakers. Disney creates immersive parks and streaming, not just films. Innovation becomes systemic, not incremental.

4. Spaces unlock growth … Sectors eventually saturate. By reframing around spaces, companies discover natural adjacencies. IKEA shifts from furniture to housing, energy, and sustainable living. DBS Bank moves from accounts to “invisible finance.” Growth flows from human needs, not industry constraints.

Competing in spaces

Apple: From Devices to Human Experiences … Apple plays in multiple spaces: creativity (Mac, iPad, Final Cut), connection (iPhone, iMessage, FaceTime), health (Apple Watch, Fitness+, medical records), finance (Apple Pay, Apple Card, BNPL). Apple never defines itself by sector. It defines itself by empowering human lives, seamlessly bridging domains through design and ecosystem thinking.

Tesla: From Automaker to Energy and Mobility Ecosystem … Tesla reframed from an EV company to a sustainable mobility and energy player. That makes sense of its cars, solar panels, Powerwall batteries, charging networks, and autonomous driving AI. Tesla competes not in automotive but in the space of clean, connected, intelligent mobility.

Disney: From Studio to Imagination and Immersion … Disney competes for imagination and family experiences. That’s why it operates films, streaming platforms, theme parks, cruises, merchandising, and soon the metaverse. Its competitive set is not Warner Bros. but anyone capturing human attention and wonder.

IKEA: From Furniture to Better Living … IKEA reframed its mission as “better everyday living.” That supports moves into affordable housing, renewable energy, circular economy solutions, and even urban farming. IKEA competes for the sustainable living space, not just home furnishing.

Nike: From Shoes to Human Performance … Nike no longer sees itself as an apparel company but as a catalyst for athletic performance and lifestyle. Its mission — “to bring inspiration and innovation to every athlete” — frees it to operate in apps (Nike Training Club), wearables (Apple Watch integration), digital communities (SNKRS), and sustainability (circular design). Nike sells identity, not sneakers.

DBS Bank: From Products to Joyful Finance … Singapore’s DBS shifted from bureaucratic banking to the “world’s best digital bank” by embracing invisible banking. By integrating services into ride-hailing, shopping, and food delivery ecosystems, DBS aims to “make banking joyful.” The reframe allowed it to play in life convenience and empowerment, not just financial services.

Patagonia: From Apparel to Environmental Action … Patagonia competes in the space of environmental stewardship through lifestyle. Its activism, materials innovation, and customer community all flow from this reframe. It sells belonging to a cause, not just jackets.

How to move to space thinking

Where do you start? Space thinking is customer-centric thinking. Reframing your business, and your chosen market spaces, around your customers and their lives, their needs and aspirations:

• Reframe around human experiences … Ask: What job are we really doing for people? Lemonade Insurance redefined its purpose from “claims processing” to “peace of mind, powered by fairness and AI.”

• Adopt human language … “Mobility,” “wealth,” “well-being” are more meaningful than “automotive,” “financial services,” “healthcare.” Language signals empathy and relevance.

• Build ecosystems … paces are broad, requiring partnerships. Ant Group built an ecosystem connecting payments, credit, wealth, and insurance — all serving financial well-being.

• Design experiences not transactions … Nike delivers the experience of achievement; DBS the experience of joyful convenience. Experiences anchor loyalty better than transactions.

• Continuously redefining the spaces … Netflix moved from DVDs to streaming to original content to interactive storytelling. Its space — “entertainment anywhere, anytime” — evolves with technology and consumer behavior.

The intellectual roots of this shift run deep:

• CK Prahalad and Gary Hamel, in Competing for the Future (1994), argued that companies must look beyond products and industries to the underlying competencies and customer benefits that shape the future. They asked leaders to define their business by what customers are trying to accomplish, not by what they currently sell.

• Joe Pine and James Gilmore, in The Experience Economy (1999), showed how economic value is migrating from goods and services to staged experiences that resonate emotionally. Experiences, not products, become the competitive frontier.

• AG Lafley and Roger Martin, in Playing to Win (2013), reframed strategy around choices: where to play and how to win. Crucially, “where to play” increasingly means life domains such as beauty, mobility, or connection — not rigid industries.

• Rita McGrath, in Seeing Around Corners (2019), embraced this into her concept of arenas: fluid, customer-defined domains where needs are met across industry boundaries. The “mobility arena,” for example, encompasses automakers, ride-hailing, public transport, and energy storage.

Together, these thinkers point to the same trajectory: away from industries and toward human-centric arenas, domains, or spaces where companies compete to solve meaningful life challenges.

Leading with space thinking

This can seem easy, obvious, but it’s not. It can be profound. Not just in being able to engage customers with more relevance, innovate with more vision, grow in new ways. But also, in what drives your vision, culture and people. Also, how do investors see you – in a declining sector, or in an area of future growth?

Leaders must think differently to win in spaces:

• Empathy over expertise. Understand human lives, not just product performance.

• Systems over silos. Think across ecosystems, not within categories.

• Collaboration over control. Partner to serve whole aspirations.

• Purpose over product. Anchor in meaning, not merchandise.

As Lafley and Martin stress, the hardest choice is not “how to win” but “where to play.” In a world of blurred industries, “where to play” must be defined by human life domains.

The shift from product-centric sectors to human-centric spaces is not just semantic; it is existential. Consumers live in spaces. Technologies dissolve boundaries. Growth lies in serving aspirations, not defending categories.

Prahalad and Hamel told us to look beyond industries. Pine and Gilmore told us to compete in experiences. Lafley and Martin told us to choose where to play. McGrath told us to see arenas. Today, companies like Nike, Apple, Tesla, Disney, IKEA, DBS, and Patagonia show us what this looks like in practice.

The lesson is simple: In the future, winners will not be the best in their industry. They will be the companies that best understand and serve the spaces where human life happens.

Here’s a practical cheat sheet of conventional sectors reframed as customer-centric spaces:

For most of the twentieth century, business value was relatively easy to understand. Companies created value by making things efficiently, captured value by selling more units at lower cost, and sustained value through scale, assets, and barriers to entry. Strategy was about positioning within an industry, optimizing operations, and defending market share.

That world has fundamentally changed.

Across every sector — from food and beauty to construction, chemicals, energy, and finance — value is shifting. Not incrementally, but structurally. Profit pools are moving. Sources of competitive advantage are changing. Capabilities that once mattered deeply are becoming commodities, while previously “soft” assets such as data, trust, ecosystems, and brand are now decisive.

These changes are not about trends or technologies alone. They reflect deeper shifts in where value is created, how it is captured, and what organizations must do differently to win. Leaders who understand these value shifts can reinvent their businesses proactively. Those who do not often find themselves optimizing models whose economic logic has already expired.

This article explores the most important cross-industry value shifts, explains why they have occurred, and shows how leading companies have responded — and with what impact.

What are value shifts?

A value shift is a durable change in the underlying logic of an industry — a change in:

• Where value is created (which activities, capabilities, or outcomes matter most)

• How value is captured (pricing models, revenue streams, profit pools)

• Who captures value (producers, platforms, partners, customers)

• What sustains advantage over time

Value shifts are not short-term disruptions. They reflect deeper forces: changing customer expectations, technological leverage, capital flows, regulation, sustainability pressures, and system complexity.

When value shifts, doing the same things better is no longer enough. Organizations must do different things — and often become different kinds of organizations.

Why value is shifting now

Several forces are converging to accelerate value shifts across industries:

• Customers want outcomes, not inputs
  Time-poor, risk-averse customers increasingly pay for certainty, performance, and impact — not products or processes.

• Technology amplifies leverage
  Digital platforms, AI, data, and connectivity allow value to scale without proportional increases in physical assets.

• Complexity exceeds organizational boundaries
  No single firm can innovate or solve problems alone. Ecosystems outperform standalone players.

• Capital, talent, and regulation are repricing risk
  Sustainability, resilience, and trust now determine access to capital and growth.

• Speed of change compresses advantage
  Learning faster matters more than owning more.

These forces explain why value is shifting consistently across sectors, even when the products look very different.

A framework for tracking shifts

What follows are the most significant value shifts visible across nearly every industry today. For each shift, we explore:

• What is changing

• Why it matters

• What organizations do differently

• Who has successfully made the shift — and with what impact

1. From Products to Outcomes

Where Value Is Created

Value moves from manufacturing and selling products to delivering measurable outcomes: performance, productivity, health, sustainability, uptime, or experience.

How Value Is Captured

Revenue shifts from one-off transactions to contracts linked to usage, performance, or results.

Why This Shift Happened

Customers increasingly want certainty, not ownership. Complexity and risk have increased, and buyers prefer partners who take responsibility for outcomes rather than vendors who deliver components.

What Organizations Do Differently

• Redesign offerings around customer success

• Build service, analytics, and monitoring capabilities

• Share risk — and reward — with customers

Examples & Impact

• Hilti shifted from selling tools to providing productivity services and fleet management. This deepened customer relationships, stabilized revenues, and increased lifetime value.

• Rolls-Royce pioneered “Power by the Hour,” charging airlines based on engine uptime rather than sales, transforming cyclicality into predictable cash flow.

• Philips moved from selling lighting to lighting-as-a-service, capturing value over the asset lifecycle.

Impact: Higher margins, stickier relationships, and differentiation beyond price.

2. From Linear Supply Chains to Ecosystems

Where Value Is Created

Value shifts from controlling assets to orchestrating networks of partners, developers, suppliers, and customers.

How Value Is Captured

Platforms capture value through coordination, data, and access rather than ownership.

Why This Shift Happened

Innovation cycles are too fast and complex for any single organization. Ecosystems allow faster learning, broader solutions, and shared risk.

What Organizations Do Differently

• Invest in platforms and standards

• Design incentives for partners

• Focus on orchestration rather than control

Examples & Impact

• Apple captures enormous value not from devices alone, but from its developer ecosystem.

• Haier transformed into a platform of micro-enterprises, enabling entrepreneurial innovation at scale.

• Alibaba built infrastructure for commerce rather than competing with merchants.

Impact: Accelerated innovation, scalable growth, and ecosystem lock-in.

3. From Physical Assets to Intangible Assets

Where Value Is Created

Value moves from factories and inventory to data, IP, algorithms, brand, and relationships.

How Value Is Captured

Margins increasingly reflect intellectual leverage rather than capital intensity.

Why This Shift Happened

Intangibles scale faster, depreciate slower, and compound over time — unlike physical assets.

What Organizations Do Differently

• Invest heavily in data, software, and IP

• Measure and manage intangible assets explicitly

• Protect learning as a strategic resource

Examples & Impact

• Microsoft transformed from software licensing to cloud platforms and AI capabilities.

• ASML dominates semiconductor lithography through decades of accumulated knowledge and IP.

• L’Oréal uses data and brand ecosystems to personalize beauty at scale.

Impact: Higher returns on capital and stronger defensibility.

4. From Efficiency to Resilience and Adaptability

Where Value Is Created

Value shifts from cost minimization to flexibility, optionality, and resilience.

How Value Is Captured

Organizations that avoid disruption capture value others lose during shocks.

Why This Shift Happened

Geopolitical risk, climate volatility, pandemics, and supply disruptions are now persistent, not exceptional.

What Organizations Do Differently

• Diversify supply chains

• Build redundancy intentionally

• Design modular systems

Examples & Impact

• Toyota built resilient production systems that recovered faster than competitors.

• Schneider Electric invests in decentralized energy systems and grid intelligence.

• NextEra Energy diversified renewables early, reducing regulatory and fuel risk.

Impact: More stable earnings and long-term investor confidence.

5. From Scale to Speed and Learning

Where Value Is Created

Value shifts from size and market share to decision quality, learning speed, and adaptability.

How Value Is Captured

Faster learners out-innovate slower incumbents, even at smaller scale.

Why This Shift Happened

Digital technologies compress feedback loops and shorten competitive cycles.

What Organizations Do Differently

• Decentralize decision-making

• Use data for rapid experimentation

• Reward learning over perfection

Examples & Impact

• Netflix iterates content and algorithms continuously based on real-time data.

• Tesla updates products through software rather than model cycles.

• Nubank scaled rapidly by learning faster than traditional banks.

Impact: Faster growth and stronger customer relevance.

6. From Ownership to Access and Subscription

Where Value Is Created

Value moves from asset sales to recurring access and usage.

How Value Is Captured

Revenue becomes predictable and cumulative through subscriptions and usage-based pricing.

Why This Shift Happened

Customers prefer flexibility; companies value lifetime relationships and recurring cash flow.

What Organizations Do Differently

• Redesign pricing models

• Build retention and engagement capabilities

• Focus on lifetime value, not unit sales

Examples & Impact

• Adobe moved from packaged software to subscriptions, dramatically increasing valuation.

• Spotify monetized access to music rather than ownership.

• Caterpillar layers connected services onto equipment sales.

Impact: Higher valuations and steadier revenues.

7. From Compliance to Sustainability as Growth

Where Value Is Created

Value shifts from minimizing environmental harm to creating solutions for a low-carbon, circular economy.

How Value Is Captured

Premium pricing, new markets, and access to capital reward sustainability leaders.

Why This Shift Happened

Capital markets, regulators, and customers now price sustainability into decisions.

What Organizations Do Differently

• Embed sustainability into strategy

• Innovate materials, processes, and models

• Measure impact rigorously

Examples & Impact

• Ørsted reinvented itself from fossil fuels to renewables.

• Holcim built sustainable construction solutions as growth platforms.

• Unilever linked sustainability brands to faster growth.

Impact: Long-term relevance and capital access.

8. From Mass Markets to Personalisation

Where Value Is Created

Value shifts from standardization to data-driven relevance.

How Value Is Captured

Higher conversion, loyalty, and pricing power.

Why This Shift Happened

Data and AI enable customization without losing scale economics.

What Organizations Do Differently

• Build customer data platforms

• Use AI for segmentation and personalization

• Design modular offerings

Examples & Impact

• Amazon personalizes discovery and pricing.

• Nike builds direct-to-consumer relationships.

• Duolingo adapts learning paths individually.

Impact: Stronger engagement and differentiation.

9. From Transactions to Partnerships

Where Value Is Created

Value shifts from deal-making to long-term relationships and shared risk.

How Value Is Captured

Lifetime value exceeds transaction margins.

Why This Shift Happened

Complex problems require continuity, trust, and collaboration.

What Organizations Do Differently

• Align incentives with customer success

• Invest in relationship capital

• Move from selling to partnering

Examples & Impact

• Accenture embeds deeply in client transformations.

• Salesforce builds ecosystems around trust and continuity.

• Ping An integrates finance, health, and services.

Impact: Durable growth and defensibility.

10. From Human Effort to Human + AI Augmentation

Where Value Is Created

Value shifts from labor intensity to decision leverage.

How Value Is Captured

Organizations that augment judgment outperform those that automate tasks alone.

Why This Shift Happened

AI scales insight faster than human effort.

What Organizations Do Differently

• Redesign roles around augmentation

• Invest in data and decision systems

• Reskill leadership and teams

Examples & Impact

• Autodesk embeds AI in design workflows.

• Microsoft integrates AI across productivity tools.

• Palantir enables complex decision-making at scale.

Impact: Productivity, quality, and strategic clarity.

What must organisations do differently?

Across all value shifts, winning organizations share common behaviors:

• Think in portfolios, not products

• Invest ahead of visible demand

• Redesign business models, not just operations

• Collaborate across boundaries

• Lead culture and capability change, not just strategy

Value shifts are not delegated to innovation teams. They are leadership decisions.

Value does not disappear, it moves. The most successful organizations are not those that defend the past best, but those that understand where value is going and reorganize themselves accordingly.

In every industry, the question is the same: If we were building this business today, how would we create value — and how would we capture it?

Where the answer differs from today lies the next value shift.

The story of AI is often told as one of automation — machines replacing human effort, algorithms outperforming human judgement. But this is the narrow view. The deeper truth is that AI isn’t just a new tool of production; it’s a new infrastructure of coordination.

Every great technological revolution — from steam to electricity to the internet — has reorganised how economies coordinate people, resources, and decisions. AI is no different, except that its impact is arriving faster, wider, and deeper than anything before it.

Sangeet Paul Choudary’s fabulous new book Reshuffle captures this shift perfectly.

He argues that every major technology wave has reshaped the “coordination fabric” of the economy — how we match supply and demand, distribute information, and align incentives. Steam power centralised production.

Electricity decentralised it. The internet created digital platforms that connected producers and consumers directly. Now, AI is creating an entirely new layer — one where intelligence itself becomes a coordination medium.

AI beyond automation … from output to orchestration

Last week I worked with one of the world’s largest luxury groups, Richemont, the parent company of brands like Cartier and Jaeger-LeCoultre. We explored the opportunities of AI, digital technologies and how they would shape the future business. The leaders I spoke to were adamant that this would never change their business – how products are made, how brands are built, how consumers buy – instead it would be a story of efficiency.

My response was frustration at how blinkered they were about this new superpower in their hands. As they invest millions in new AI platforms, data factories, and its intelligence, they could only see its value in reducing costs, and maybe increasing speed. Of the old business model. Nothing else would likely change, they reassured their colleagues.

The real story of AI isn’t about robots replacing humans on the factory floor or chatbots answering customer emails. It’s about how AI reorganises the flow of economic activity. It’s about how markets, industries, and entire ecosystems are being rewired around new patterns of coordination — where data replaces hierarchy, prediction replaces planning, and digital ecosystems replace traditional firms.

Think about logistics. A decade ago, companies like FedEx and Maersk relied on rigid, human-driven systems for scheduling, routing, and maintenance. Today, AI coordinates thousands of moving parts in real time — predicting demand, rerouting shipments, and allocating containers dynamically. Amazon’s logistics network is perhaps the clearest expression of this: a continuously learning organism optimising itself with every click, order, and delivery. It’s not automation; it’s synchronisation at scale.

Or take healthcare. Babylon Health in the UK, Ping An Good Doctor in China, and India’s HealthifyMe are all reorganising healthcare systems around AI coordination. They don’t just automate diagnosis — they coordinate patient journeys, link data across providers, and dynamically allocate scarce medical resources. These systems learn, anticipate, and reconfigure healthcare around need rather than procedure.

The coordination revolution

In Reshuffle, Choudary reminds us that each industrial revolution has expanded the boundaries of coordination:

• The first (steam) created centralised factories that replaced craft-based systems.

• The second (electricity) allowed decentralised production and global trade.

• The third (digital) replaced physical intermediaries with platform ecosystems — Uber, Airbnb, Alibaba — which matched participants through data.

• The fourth (powered by AI), takes coordination beyond human cognition. It doesn’t just connect people — it connects intentions, probabilities, and predictions.

In essence, AI turns decision-making into a network effect. The more data it ingests, the better it becomes at aligning incentives and resources across the system.

Consider Ant Group in China. What began as a payment app is now a financial coordination engine. AI-driven credit scoring connects small businesses to microloans, investors to opportunities, and consumers to personalised products — all without traditional bank structures. It’s not about automation of banking tasks; it’s about reorganising finance itself around intelligent coordination.

Or look at Tesla. Every car on the road feeds into a global learning network. Tesla’s AI doesn’t just automate driving — it coordinates learning across millions of vehicles, improving safety, efficiency, and performance in a self-reinforcing loop. The company’s real innovation isn’t in manufacturing cars but in orchestrating an ecosystem of data and intelligence that continually evolves.

The platform-to-protocol shift

If the 2010s were defined by platforms — centralised systems that mediated value (Google, Amazon, Facebook) — the 2020s may be defined by protocols — decentralised systems coordinated by AI.

Choudary argues that as AI integrates with blockchain, IoT, and other distributed technologies, the economy will shift from platforms that control interactions to protocols that govern them. Think of it as moving from orchestras to jazz ensembles — structured, but adaptive.

In energy, companies like NextEra Energy and Octopus Energy are already coordinating distributed generation through AI. Their grids are dynamic, balancing millions of data points — from wind turbines to household batteries — to optimise energy flow in real time. These are not utilities as we knew them; they are digital marketplaces of power, learning and adapting every second.

In agriculture, platforms like CropX in Israel or Agrosmart in Brazil use AI to coordinate water, soil, and weather data — connecting farmers, suppliers, and markets. The result isn’t automation of farming; it’s orchestration of the entire food system.

Reinventing the organisation

Every coordination revolution also rewrites the logic of the firm. The industrial corporation — hierarchically structured and vertically integrated — emerged to reduce transaction costs when coordination was expensive. The internet and platform era reduced those costs, giving rise to ecosystems and networks. AI takes this further: it collapses internal and external boundaries by enabling real-time, data-driven decision-making across distributed actors.

Firms like GitLab, Haier, and Shopify already operate as modular ecosystems. GitLab coordinates thousands of developers globally through AI-enhanced workflows. Haier’s “Rendanheyi” model turns employees into micro-entrepreneurs coordinated by digital data flows. Shopify enables millions of merchants to access AI-driven logistics, payments, and marketing tools — effectively functioning as a decentralised retail coordination system.

The lesson? The future firm is not a fortress but a network. Not a producer but a conductor. Its competitive advantage lies in how effectively it coordinates intelligence across boundaries — human, machine, and ecosystem.

Reimagining policy and society

If AI transforms how firms coordinate, it also transforms how societies do. Governments are beginning to use AI as a coordination infrastructure — reallocating resources, anticipating needs, and designing dynamic public systems.

In Estonia, digital government services are already coordinated through interoperable AI protocols, allowing citizens to access healthcare, tax, and education seamlessly. In Singapore, the Smart Nation initiative uses predictive models to manage traffic, healthcare, and energy flows. And in Kenya, M-Pesa and related AI-enabled fintech systems have turned mobile data into a backbone for financial inclusion.

AI’s coordination power can unlock new forms of economic participation — but only if governance keeps pace. Left unchecked, it could also centralise control in the hands of a few algorithmic gatekeepers. The challenge for policymakers is to design open coordination systems — transparent, fair, and adaptive — that amplify collective intelligence rather than extract individual value.

The global reshuffle

Across industries and geographies, AI is catalysing a great reshuffle of economic systems:

• In finance, AI connects capital with opportunity in milliseconds.

• In mobility, it synchronises real-time transportation flows.

• In retail, it matches products, preferences, and logistics with uncanny precision.

• In energy, it balances distributed generation and demand dynamically.

• In education, it personalises learning journeys at scale, turning classrooms into living systems of feedback and growth.

In India, Reliance Jio and Airtel are using AI to coordinate digital commerce ecosystems for millions of small businesses. In Europe, Schneider Electric is building AI-powered platforms that coordinate energy efficiency across entire cities. In Latin America, Rappi and Nubank are using AI to connect consumers, merchants, and financial services into new hybrid economies.

Each of these is not just a story of automation — but of reorganisation. AI isn’t the end of work, it’s the end of linearity. It dissolves traditional boundaries — between industries, roles, and even human and machine.

The next frontier … intelligence as infrastructure

The next phase of the AI economy won’t be defined by apps or devices but by infrastructures of intelligence. These will operate like invisible nervous systems — constantly sensing, learning, and adjusting economic flows.

Choudary calls this the “intelligence fabric” — the layer where coordination becomes ambient, embedded into every transaction and interaction. When that happens, industries won’t just compete on products or efficiency, but on how intelligently they can reorganise themselves around real-time feedback loops.

Imagine a city where traffic lights, vehicles, and pedestrians coordinate dynamically. A supply chain that anticipates disruptions and reorganises instantly. A job market that matches skills and opportunities fluidly. This isn’t science fiction — it’s Shenzhen, Rotterdam, and Dubai today.

The real AI revolution

The automation story is ending. The coordination revolution is beginning.

AI’s true power lies not in replacing human labour but in amplifying human coordination — helping societies work smarter, faster, and fairer. The winners of this new era won’t be those who merely deploy AI tools, but those who rebuild their systems, structures, and strategies around its coordinating intelligence.

As Choudary writes in Reshuffle, “The institutions that define the economy — firms, markets, and governments — are being re-architected by AI.”

We are no longer living through an automation age, but a reorganisation age. A world where intelligence itself becomes the connective tissue of progress — binding together the atoms of an economy into a smarter, more synchronised whole.

Reshuffle … turning ideas into action

Here are my 7 takeaways from Reshuffle by Sangeet Paul Choudary:

Inconvenient Truths

Pithy slogans like “AI won’t take your job — but someone using AI will” sound empowering, but they miss the point. They keep our focus on personal competition when the real shift is structural. The rise of AI isn’t a battle between individuals — it’s a reconfiguration of entire systems.

Rewiring Architectures

AI isn’t merely automating tasks or assisting workers. It’s rewiring the architecture of work itself — how decisions are made, how roles interact, and how industries are organised. What used to be a chain of activities is now an intelligent network.

A New Logic of Work

The comforting assumptions of the 20th century — stable jobs, neutral tools, predictable wages, enduring firms — are all unravelling. Once AI enters the system, the logic of work changes. What was once fixed becomes fluid; what was once secure becomes open to reconfiguration.

Redefining the Value Equation

Productivity gains don’t automatically translate into prosperity. The benefits of AI tend to flow towards those who control coordination — the data pipelines, digital platforms, and algorithmic architectures that define who participates and how. Value creation and value capture are no longer the same thing.

Jobs are being Reinterpreted

Just as data analytics reimagined how basketball is played, or how shipping containers reinvented global trade, AI is dissolving traditional roles. Jobs aren’t disappearing — they’re being rebuilt around new constraints, new flows of information, and new sources of advantage.

Beyond Zero-Sum Thinking

This isn’t about being replaced by a machine or outperformed by a colleague using one. The real question is whether your capabilities remain relevant in a system where the basis of value — coordination, prediction, adaptation — has fundamentally shifted.

The Real Challenge

Preparing for the future of work isn’t about individual optimisation — learning a few new skills or mastering the latest tools. It’s about redesigning the systems themselves: how workflows connect, how organisations evolve, and how economies distribute value. The future won’t reward the best worker in yesterday’s model, but the architects of tomorrow’s.

Innovation has become surprisingly conventional.

Most companies are locked into group think, short-termism, blinkered perspectives and risk aversion. When innovation should be the rocket fuel of reinvention, it becomes the habit of incrementalism.

In an age of AI disruption, climate urgency, shifting geopolitics, and cultural upheaval, businesses that stand still are quickly left behind. Incremental improvements — shaving a few costs here, adding a product feature there, a tweak to the business model — may keep companies alive, but they won’t secure a bold future.

The leaders who thrive in today’s dynamic environment are embracing what I would call “super innovation”.

This is not “innovation as usual” but something more radical, ambitious, rapid and transformative. It’s about stretching creativity to its limits, imagining new markets, and reinventing entire industries. It is driven by the power of futures thinking, exponential technologies, creative imagination, platform ecosystems, and boundary-breaking collaboration.

Here are 10 radical, stretching, and exciting ways leaders and their companies can embrace hyper innovation — with inspiration from pioneers who are already showing the way.

1. Think future-back

Most corporate strategies extend today’s market trends into tomorrow, which usually means they fight the old fires, rather than exploring new possibilities. They become limited, distracted and incremental. Super innovators do the opposite: they start with a vision of the future they seek, and work backward to design the business that will thrive there.

Inspiration: Waymo is not designing cars for today’s drivers but imagining a future of autonomous mobility — where safety, accessibility, and shared services redefine transportation – and was recently ranked the world’s most innovative company. DBS Bank, Singapore’s financial giant, adopted a “future-back” model when it reinvented itself as a tech company with a banking license, embedding AI, digital ecosystems, and sustainability into its DNA. Google X‘s moonshot mindset, thinking 10x not 10% is also a future back mindset. Jumping to the impossible, then finding how to make it happen, leapfrogging convention and escaping the quagmire of today.

Lesson: Imagine your business in 2035, in a climate-conscious, AI-native, borderless economy. Then ask: what do we need to invent now to thrive there? Then work backwards, to map out how you could get there – not in 10 years, but much faster.

• Megatrends 2035: 6 Dramatic Forces Shaking Up Every Business by Peter Fisk

2. Harness exponential technologies

Innovation becomes revolutionary when technologies converge. AI on its own is powerful; combined with robotics, genomics, quantum computing, and nanomaterials, it reshapes entire industries. The impact becomes multiplying, particular when it harnesses network effects of one sort or another, be they marketing flywheels, social collaborations or more.

Inspiration: Illumina sits at the heart of the genomics revolution, driving down the cost of DNA sequencing and enabling breakthroughs in personalized medicine. Nvidia, once a graphics chip maker, has become the engine of the AI age by combining GPU architecture with machine learning and cloud ecosystems. Together, they show how combining exponential technologies can create whole new industries.

Lesson: Don’t just chase a single trend. Ask what intersections of technologies can we orchestrate to create industries of the future? How can we build network effects into our business model? How can we multiply the impact?

• Next is Now, the Future at Hyper Speed by Peter Fisk

3. AI as your co-creator

AI is not just a tool for efficiency — it’s a collaborative partner that sparks ideas, accelerates design, and reveals unexpected pathways. This might be in the creative process, by opening up thinking in novel and rapid ways, or in testing and evaluation again many times faster than normal, but most significantly as a core of the new solution or its business model.

Inspiration: Insilico Medicine uses AI to imagine novel drug compounds, cutting R&D timelines from years to months. L’Oréal applies AI to co-create with customers — from personalized beauty diagnostics to virtual try-on experiences. Hermès, though rooted in craft, experiments with AI in materials science to explore sustainable leathers, proving that even luxury houses can partner with technology.

Lesson: Treat AI as a partner in creativity — not just an optimizer, but a co-designer of future possibilities – and then in a transformational enabler of the new product, service, business model or more. This is where AI has real added value.

• Reinventing Business with AI by Peter Fisk

4. Create platform ecosystems

Innovators are notorious for their product centricity. The bright shiny object syndrome. Products still dominate design and development thinking because they are tangible. Customer-centricity, services, experiences, business models are a step forwards. Super innovation is about building ecosystems of value — platforms that empower others to innovate, collaborate, and scale.

Inspiration: Mercado Libre has become Latin America’s innovation powerhouse by building a platform spanning e-commerce, logistics, digital payments, and credit. BYD, meanwhile, has built an ecosystem that integrates cars, batteries, and solar energy, creating circular loops of value that extend beyond vehicles. Nvidia has similarly created an ecosystem of developers, startups, and researchers who build on its GPU platforms.

Lesson: Products have limits; platforms expand infinitely. Ask what ecosystem could we build that lets others innovate with us? What could partners better than us, so we don’t need to do it ourselves? Faster, cheaper, at less risk, with more agility?

• Ecosystem Inc: How Music was Reinvented by Peter Fisk

5. Play in new marketspaces

The most radical innovators don’t just fight for share in existing markets, they create entirely new ones. When Dietmar Mateshitz created Red Bull he didn’t seeking to compete with Coke and Pepsi, but instead to create a new space, energy drinks. Think blue oceans rather than red oceans. Hybrid spaces like super apps. Layered spaces like ingredient brands.

Inspiration: Danone reframed its mission from selling dairy products to leading in “One Planet. One Health,” turning food into a driver of social and environmental change. Waymo is not competing with traditional carmakers but inventing a new market around autonomous mobility services. Revolut isn’t playing in traditional banking but creating a borderless, digital-first financial category.

Lesson: Don’t ask how do we compete in our market, instead ask what new spaces can we invent where we define the rules. Apply innovation to the market itself, not just to your business. This could be in terms of language, customer behaviours, education, price points, regulation, channels, and more. Shape the market to your advantage, then promote, protect and own it!

• Creating New Market Spaces by Peter Fisk

6. Build creative collisions

Leonardo da Vinci defined innovation as making unusual connections. As a polymath he was able to flow between different thinking – an artist, sculpture, mechanic and more. Breakthrough ideas emerge at the edges, where different disciplines and perspectives collide.

Inspiration: IDEO pioneered human-centered design by mixing engineers, artists, and psychologists. Hermès thrives on collisions between heritage artisans and avant-garde designers, blending timeless craftsmanship with digital experimentation. Illumina collaborates with healthcare providers, tech companies, and governments to fuse biology, AI, and policy. Liquid Death is fresh spring water, but marketed like heavy rock music.

Lesson: Engineer creative collisions in your culture. Invite outsiders in, mix disciplines, and create hybrid teams that spark fresh thinking. The connections may not seem obvious at first, because they are unusual. So they need work, creativity to explore the possibilities of fusion, and practical ways to exploit it, practically and profitably.

• Creative Genius: Innovation Inspired by Da Vinci by Peter Fisk

7. Shift from products to impact

Most innovation still focuses on products, but with the least value impact. It is functional and blinkered. it focuses on transactional benefits. Super innovation is not just about creating things but about changing lives and driving impact. It is about understanding the real problem to solve, job to be done, dream to achieve. The real purpose could be individual, commercial, societal, or more. Purpose accelerates creativity and builds loyalty.

Inspiration: Patagonia uses innovation to fight climate change. Schneider Electric reframes its mission around decarbonization and energy efficiency. Danone anchors its transformation in health and sustainability. DBS Bank ties innovation directly to social outcomes, from digital inclusion to green finance.

Lesson: Innovation without impact is just novelty. Start with the customers bigger problem, the stretching ambition, and how you could innovate to address this. Anchor your breakthroughs to purposeful transformation.

• Accelerating Growth by Peter Fisk

8. Prototype at the speed of culture

Innovation is about connecting with, capturing and shaping, the culture of today and tomorrow. To be relevant, to be cool, to be desired, means having cultural alignment. And yet the cultural landscape shifts daily. Super innovators prototype fast, in real time, with real users. They connect their ideas, with brands, with people, with culture.

Inspiration: ByteDance (TikTok) is the ultimate cultural prototyper, testing thousands of features daily. Nio applies the same mindset to mobility, rolling out subscription and community-driven services at speed. Insilico runs thousands of AI-generated simulations, effectively prototyping drugs in silico before ever testing in labs.

Lesson: Don’t wait for perfect. Prototype in culture and context, and refine based on live feedback. Experimentation enables you to rapidly discovered what works and doesn’t, what’s liked and what’s not. It is hard, in the practical sense of functionality, but it is also soft, about emotional resonance.

• What’s New and Next in Innovation by Peter Fisk

9. Partner with unlikely partners

Partners take you outside of your comfort zone. Beyond your industry, your conventions, your accepted possibilities. They open up a new sphere of possibility, do connect products and services in new ways, to engage customers who would not normally consider you, to give you new capabilities and power. Super innovators cross boundaries and collaborate with unexpected partners, even competitors.

Inspiration: Unilever works with NGOs and startups to accelerate sustainability. L’Oréal partners with AR/VR tech companies to reinvent beauty. Waymo collaborates with city planners, regulators, and automakers to make autonomous mobility viable. Hermès has even collaborated with Apple (on watch straps) — showing that heritage and tech can be unlikely but powerful allies.

Lesson: Ask who outside our world could 10x our innovation if we joined forces? Who could take me further, and in new directions, add new services, reach new audiences, add more value?

• The Reinvention Playbook: Lamborghini was a Tractor Company by Peter Fisk

10. Reinvent yourself relentlessly

The ultimate super innovation is the ability to reinvent your company again and again. And yourself – your mind, your experiences, your skills. Yesterday’s success is often tomorrow’s trap.

Inspiration: Nintendo transformed from cards to gaming. DBS Bank shifted from bureaucracy to digital pioneer. Nvidia reinvented itself from a niche graphics chipmaker to the defining company of the AI era. BYD evolved from a battery maker into a global EV leader. These are all examples of relentless business reinvention, riding the S curves of changing markets, changing before you have to, and embracing change as your opportunity.

Lesson: Treat reinvention as a permanent state — a permanent beta –  not a one-off reaction to disruption. This means that rethinking is relentless, transformation is a continuous journey, and innovation needs to go beyond the normal – to be super.

• The Reinvention Toolkit by Peter Fisk

Who are the super innovators?

These 10 innovators exemplify bold thinking, creativity, and transformative impact across industries, from technology and finance to healthcare, sustainability, and consumer goods:

• Silvio Campara, CEO of Golden Goose, has reimagined the luxury fashion experience by empowering customers to co-create their sneakers. This direct-to-consumer approach, combined with an emphasis on personalized experiences, has not only driven revenue growth but also positioned Golden Goose as a pioneer in interactive luxury retail.
• Lucy Guo, co-founder of Scale AI, leveraged her early entrepreneurial instincts to dominate the AI data-labeling space. Her work accelerates AI applications across industries, demonstrating the power of combining technical acumen with bold business strategy.
• Jensen Huang, CEO of Nvidia, has been instrumental in advancing graphics processing and AI technology. Under his leadership, Nvidia has transformed from a hardware company into a central pillar of the AI revolution, enabling breakthroughs in machine learning, autonomous vehicles, and scientific computing.
• Inna Braverman of Eco Wave Power is pioneering renewable energy solutions. Her patented wave-energy technology demonstrates that innovative approaches to sustainability can create both environmental impact and commercial success, exemplifying purpose-driven entrepreneurship.
• Fei-Fei Li, CEO of World Labs, has expanded the practical applications of AI, making complex technologies more accessible and ethical. Her work bridges academia, industry, and society, highlighting the role of thoughtful innovation in shaping the future of technology.
• Ranjit Kapila, leading Parametric, has revolutionized investment strategies through direct indexing. By offering personalized, data-driven solutions, Kapila is reshaping the financial services industry and demonstrating how innovation can create value for both clients and markets.
• Anna-Lisa Miller, at Ownership Works, champions employee shareholding. Her focus on wealth distribution and organizational engagement has transformed corporate culture, proving that innovation is not limited to products—it also extends to governance and ownership structures.
• Arthur Sadoun, CEO of Publicis Groupe, has integrated AI and data-driven marketing strategies to reinvent advertising in the digital age. His leadership underscores how established industries can evolve through strategic adoption of technology and creative problem-solving.
• Marin Gjaja, leading Ford Model e, has driven innovation in the automotive sector, particularly in electric vehicles. His initiatives position Ford as a competitive player in the EV market, blending traditional manufacturing expertise with cutting-edge sustainability technologies.
• Prathibha Varkey at Mayo Clinic Health System exemplifies innovation in healthcare. By implementing technology-driven solutions to improve patient care and operational efficiency, Varkey demonstrates how thoughtful innovation can address complex societal challenges while enhancing organizational performance.

These 10 leaders illustrate that innovation is multidimensional—it encompasses product design, technology, business models, sustainability, organizational culture, and societal impact. What unites them is a willingness to challenge conventional thinking, leverage emerging technologies, and create solutions that not only drive business success but also positively influence society. They are the blueprint for the next generation of innovators: bold, visionary, and relentlessly focused on shaping the future.

• A to Z of the World’s Most Inspiring Companies 2025 by Peter Fisk
• A to Z of the World’s Most Inspiring Leaders 2025 by Peter Fisk

The super innovator mindset

Super innovation is not a toolkit — it’s a mindset. It means stretching beyond the obvious, embracing ambiguity, and daring to imagine futures others cannot yet see.

What unites pioneers like Jony Ive and Lei Jun, Lucy Guo and Lei-Fei Li, or the founders of companies like Waymo, Illumina, or Nvidia is not just what they invented but how they thought: future-back, impact-first, tech-enabled, and endlessly curious. They didn’t wait for markets to shift; they created the shift.

The challenge to today’s leaders is clear: don’t just innovate within your category. Super innovate across boundaries.Don’t just adapt to the future. Invent it.

The future belongs to those bold enough to stretch imagination, and courageous enough to turn those ideas into action.

What will you do?

• Innovation Recoded by Peter Fisk (video)
• Innovate, Further and Faster by Peter Fisk
• Inspiring Keynotes: Earthshots and Quantic Brains with Peter Fisk
• Executive Workshops: Fast and Facilitated Innovation with Peter Fisk

The pace of change is not just accelerating—it’s relentless. From technological disruption to geopolitical shocks, from shifting customer expectations to climate urgency, leaders face a world in constant motion.

Traditional business strategy, built on fixed choices, multi-year plans and rigid forecasts, is no longer fit for purpose. Businesses need a new way to think and act: how to think, work, compete and win, in the FLUX.

FLUX businesses are built on a paradox: a strong, enduring direction anchored in purpose, paired with micro-moves that adapt quickly to emerging shifts. The acronym itself captures the mindset leaders must embrace:

• Fast – moving at the speed of change.

• Liquid – fluid in structures, roles, and approaches.

• Uncharted – navigating uncertainty with curiosity and courage.

• Experiential – learning by doing, testing, and iterating in real time.

Rather than locking into static plans, organizations working in flux treat strategy as a living system—constantly sensing, responding, and evolving while staying true to their core purpose.

FLUX: Anchoring with agility, enduring direction with micro moves

The term flux has been used in management writing for decades to describe constant change. Charles Handy wrote about “the age of unreason” and organisations in flux, for example.

The specific idea of FLUX as a strategy approach is developed in my new book, based on research in working with hundreds of business leaders around the world. In particular they struggled with how to replace the traditional form of business strategy, while still bring focus and alignment, alongside agility and empowerment.

FLUX emerged as a new concept.

The cornerstone of FLUX is clarity of direction. In turbulent waters, an organization’s why becomes the compass. Patagonia’s enduring commitment to “save our home planet” has enabled it to make bold moves, from donating profits to environmental causes to reshaping its supply chains. Tesla’s mission to “accelerate the world’s transition to sustainable energy” allows it to pivot across sectors—from cars to batteries to solar—while keeping a coherent trajectory.

This enduring purpose enables businesses to act with confidence, even when specific pathways remain uncertain. Without it, constant change risks leading to drift, fragmentation, and reactive decision-making.

Fast: Dynamic strategy at the speed of change

Traditional strategy cycles—annual budgets, five-year plans—are too slow for a world where new competitors, technologies, and customer behaviors can emerge overnight. A FLUX approach replaces slow cycles with rapid sensing and fast decision-making.

For example, Amazon’s ability to launch, test, and scale new services (Prime, AWS, Alexa) is underpinned by a culture of speed. Teams are empowered to act quickly, guided by clear principles rather than waiting for approval chains. Fast doesn’t mean reckless—it means accelerating learning and execution.

Strategic reviews shift from yearly retreats to ongoing strategic sprints, where leadership teams revisit priorities monthly or quarterly. Instead of predicting the future, they practice continuous foresight: monitoring signals, experimenting in parallel, and reallocating resources rapidly.

Liquid: Structures and processes that flow

Strategy in flux requires liquid structures—organizations that flex, reconfigure, and adapt as contexts change. Rigid hierarchies and departmental silos slow response; fluid teams and networks unlock agility.

Spotify’s squad model exemplifies liquid organization—small, autonomous teams aligned by shared goals but free to adapt their methods. Similarly, Haier in China has reorganized into thousands of micro-enterprises that can form alliances, pursue opportunities, and dissolve if no longer relevant.

Planning, too, becomes liquid. Annual budgets freeze assumptions; in flux, organizations use rolling forecasts and dynamic resource allocation. Capital is released in smaller tranches, tied to milestones and outcomes rather than locked-in annual cycles. This mirrors venture capital models, where funding follows proof points, not rigid plans.

Uncharted: Embracing the unknown

Strategy has traditionally been about reducing uncertainty. But in a world of flux, the unknown is unavoidable. Leaders must shift from prediction to navigation, embracing experimentation and scenario thinking.

Consider SpaceX. Elon Musk does not have a step-by-step plan to colonize Mars. Instead, the company charts an ambitious direction, then pursues uncharted pathways through iterative rockets, each failure offering lessons for the next.

Businesses adopting a flux mindset treat uncertainty as fuel for innovation. Instead of fearing disruption, they explore uncharted opportunities—like DBS Bank in Singapore, which reimagined itself from a traditional bank into a digital platform, creating new ecosystems in health, education, and sustainability.

Strategic choices under flux are less about narrowing down to one “right” answer and more about keeping multiple options open—investing in parallel bets, partnerships, and exploratory ventures.

Experiential: Strategy as a learning journey

Finally, flux strategy is experiential. Rather than relying on thick reports and predictive analytics alone, organizations learn by doing—launching pilots, testing assumptions, gathering feedback, and scaling what works.

Nike exemplifies this by treating its digital ecosystem (apps, wearables, online communities) as living experiments, constantly refining the athlete experience. Airbnb scaled globally by testing new trust mechanisms, from reviews to identity checks, learning directly from user behavior.

In flux, planning is not an intellectual exercise—it’s a cycle of hypothesis, experiment, evidence, and iteration. Strategy becomes less about certainty, more about adaptive learning.

How FLUX changes the way business works

Adopting FLUX Strategy requires reimagining the rituals of strategy itself:

• Strategic Choices: Instead of one dominant play, leaders pursue portfolios of options. Some are core bets, others are exploratory. Success comes not from rigid execution, but from knowing when to double down, pivot, or exit.

• Strategic Planning: Planning shifts from static documents to living roadmaps. Plans are updated frequently, with space for flexibility and surprise. Planning is participatory, drawing insights from across ecosystems—not just the boardroom.

• Quarterly Reviews: Reviews are reframed as strategic sprints. Rather than checking KPIs against static goals, teams ask: What have we learned? What signals are emerging? Where should we shift resources?

• Annual Budgets: Budgets become rolling and adaptive. Instead of fixing resources once a year, leaders allocate dynamically, based on learning and shifting priorities. Agile funding enables rapid scaling of new opportunities or quick exit from failing bets.

Example: How Microsoft relearnt to win in a world of FLUX

Microsoft’s core purpose — to empower every person and organization on the planet to achieve more — functions as a long-term compass. That enduring direction made it possible for leaders to shift course radically when the world changed (cloud, mobile, open source, AI) while preserving coherence across the company. The transition under Satya Nadella demonstrates FLUX in practice: maintained purpose + continuous, experimental moves that reconfigured products, culture, partnerships, and revenue models.

Then — traditional strategy: Big, multi-year bets; monolithic product cycles (big Windows launches, boxed software); rigid annual budgets and siloed business units; gated-stage reviews and centralized approvals; internal competition for limited resources; success measured by product shipments and license sales.

Now — FLUX strategy: Purpose-led but flexible portfolio of bets; rapid market experiments and continuous delivery (cloud-first, service updates); rolling forecasts and milestone-based funding; cross-functional, empowered teams; open partnerships and acquisitions to extend capabilities; data-driven learning loops from telemetry and customer behavior.

What Microsoft did

• Re-anchor decisions in purpose, not product

• • Use the corporate mission to evaluate strategic trade-offs (e.g., Microsoft embraced cross-platform tools because empowering customers mattered more than protecting OS monopolies).

  • Action: Every new product idea is assessed for alignment with the mission and net ecosystem value.

• Move from product releases to continuous delivery

  • Office → Office 365 (subscription + continuous updates) and Windows features as services reduced big-bang risk and increased customer feedback loops.

  • Action: Implement telemetry, real-time metrics, and staged rollouts to learn and iterate rapidly.

• Adopt a portfolio of bets

  • Azure was scaled while preserving investments in Windows and Office — not an either/or strategy.

  • Action: Allocate capital as a mix of core bets, opportunistic experiments, and strategic options. Use small tranches (“venture within the firm”) and scale winners quickly.

• Create liquid structures

  • Break large org silos into product teams, engineering groups, business-led initiatives (e.g., “One Microsoft” integration).

  • Action: Empower cross-functional squads with P&L responsibility for outcomes, not just outputs.

• Open, partner, and acquire to accelerate

  • Embrace open source (Linux on Azure), acquire strategic platforms (GitHub, LinkedIn), and partner even with prior competitors.

  • Action: Redefine M&A criteria to include speed-to-market and ecosystem leverage, not merely vertical ownership.

• Reform culture and leadership

  • Shift from “know-it-all” to “learn-it-all” mindset; remove internal performance systems that punished collaboration.

  • Action: Leadership models curiosity, reward experimentation and timely failure, and invests in continuous learning.

• Change funding and governance

  • From annual fixed budgets to rolling forecasts and milestone-based funding tied to evidence.

  • Action: Create an internal investment committee that reallocates funds monthly/quarterly based on emerging signals.

• Design for resilience & compliance

  • Strengthen security, privacy, and governance as speed increases — cloud operations require new guardrails.

  • Action: Build enterprise-grade security and compliance into every fast experiment from day one.

What Microsoft stopped doing

• Don’t treat strategy as an annual event.

  • Abandon the idea that strategy is finalized once a year. Replace with continuous sensing and re-prioritization.

• Don’t gate everything in bureaucracy.

  • Reduce rigid approval chains that stall experiments. Let small teams try ideas and prove them quickly.

• Don’t hoard capabilities; share them.

  • Stop withholding platform assets to preserve product feudalism; instead expose APIs and platforms to internal and external partners.

• Don’t measure only outputs.

  • Stop rewarding lines shipped or features completed. Measure customer outcomes, retention, and learning velocity.

• Don’t silo data or customers.

  • Avoid isolated analytics and separate telemetry. Centralize insights so experiments across teams learn from one another.

• Don’t view failures as career-ending.

  • Stop stigmatizing failed experiments; treat them as information with clear post-mortems and learning capture.

How Microsoft did it

• Real-time insights platform: Real-time signals from products that inform tiny pivots or large re-allocations.

• Milestone-based funding: Small initial funding, clear go/no-go metrics, and automatic scale-up triggers.

• Cross-functional squads: Product managers, engineers, marketers, and ops co-located around outcomes.

• Rolling forecasts: Finance tied to outcomes and experiments rather than fixed annual allocations.

• M&A playbook for speed: Integration playbooks that preserve the acquired team’s velocity while aligning with mission.

• Leadership rituals: Frequent strategy “huddles” that review signals, test assumptions, and re-allocate resources.

However … FLUX isn’t chaos. Microsoft’s example shows you must combine speed with governance:

• Over-experimentation can confuse customers and waste capital—limit experiments with clear hypotheses and sample sizes.

• Cultural fatigue from constant change must be avoided—balance stability with bursts of transformation.

• Regulatory exposure increases with scale and openness — maintain compliance and privacy as non-negotiable.

• Loss of coherence if purpose isn’t constantly reinforced—leaders must narrate why each micro-move ties to the mission.

What can we learn from Microsoft?

Microsoft’s pivot shows FLUX is a disciplined blend of anchored purpose + micro-moves. The company preserved a guiding mission while rewiring form and process: smaller bets, faster learning, liquid teams, open ecosystems, and rolling finance. The lesson for leaders is clear — in a world where uncertainty is the norm, the right strategy is not a static blueprint but a dynamic operating system: purposeful, iterative, and relentlessly experimental.

• Clarify an enduring purpose that’s action-guiding.

• Build feedback loops (telemetry, customers, partners) into every initiative.

• Fund as you would seed startups: small, fast, and outcome-tethered.

• Make orgs liquid: create autonomous teams with clear alignment mechanisms.

• Institutionalize learning: treat experiments as assets with documented insights.

• Set governance that enables speed but preserves trust (security, ethics, compliance).

Leading in a state of FLUX

Embracing flux requires new leadership mindsets. Leaders must combine anchored vision with adaptive action. They must be comfortable with ambiguity, foster cultures of curiosity, and empower distributed decision-making. Most importantly, they must role-model resilience—showing that uncertainty is not a threat but a source of renewal.

This is not easy. Many executives were trained in eras of stability, where control, planning, and prediction defined good strategy. But as Satya Nadella of Microsoft notes, success today comes from a “learn-it-all” mindset, not a “know-it-all” one.

In a turbulent world, strategy can no longer be a fixed plan. It must be a living, breathing process—anchored by enduring purpose, but always in motion. FLUX Strategy captures this duality: the need to be fast, liquid, uncharted, and experiential.

The companies that thrive will not be those that resist change, nor those that chase it blindly. They will be those that flow with it—anchored, yet adaptive. Purpose gives direction; flux provides momentum. Together, they make strategy fit for a world where change is the only constant.

How can your business win in a world of FLUX? Email me for keynotes and workshops at peterfisk@peterfisk.com

Each month The Brand Doctor, business expert Peter Fisk, takes a global brand that has lost its way, and considers how it could reinvent itself. If it’s your brand, do you have the courage to change? If not, what would you do, and how could you apply these ideas for reinvention to your own business?

Gucci at the Crossroads

There is a peculiar cruelty in fashion’s calendar: brands that once seemed able to do no wrong are judged, in a heartbeat, as having done far too much. For Gucci — a house that, in living memory, turned stodgy heritage into unignorable cool and then multiplied that cool across demographics and continents — the turning point has been painfully public.

Once the engine of Kering’s fortunes, Gucci has seen precipitous declines in sales and relevance; commentators point to over-marketing, the erosion of exclusivity, an avalanche of products and collaborations that confused rather than clarified, and a failure to read the new rules of luxury consumption fast enough. The result has been a collapse in demand that ricochets through revenues, margins and market value.

At the same time, another luxury behemoth — Hermès — appears to have mastered the opposite lesson. By refusing to chase every trend, keeping its designs remarkably consistent and protecting scarcity, Hermès has accumulated a valuation that, for a period, eclipsed even that of LVMH. It is not merely a question of taste; it is a story about how brands generate durable value. Hermès’s patient stewardship of craft, queueing systems and carefully managed distribution has turned artistic conservatism into a financial superpower.

So: what went wrong at Gucci? How have markets shifted — notably across Asia and among Gen Z — and what can Gucci learn from the likes of Hermès and other resilient players? Most urgently: what must Gucci do now to arrest the decline and deliver fresh revenue, restore margins and rebuild long-term value? Below is a frank, magazine-style diagnosis, followed by bold prescriptions for reinvention — modest in some parts, radical in others — and a recommended path designed to rescue both brand and balance sheet.

The rise, the reinvention and the overstretch

Gucci’s story is a study in repeated reinvention. In the 1990s Tom Ford rebooted the label with a seductive, hyper-glamourous vision; Gucci became provocative and desirable in one deft pivot. Later, Alessandro Michele — a designer with a taste for maximalism and eclectic nostalgia — turned Gucci into a cultural phenomenon again, producing collections that read as both costume and status symbol. Those changes were not cosmetic; they re-wired demand and repositioned Gucci at the intersection of runway, music and internet culture. For a time, the house was unstoppable.

That success begets imitation, of course, and at scale it begets repetition. The strategy that made Gucci omnipresent — collaborations, limited drops, social-first marketing, rapid rollouts of logo-heavy categories — became the very engine of its over-exposure. By the early 2020s, the brand was ubiquitous: in high fashion, on the high street through knockoffs, in secondary markets, and in product lines that ranged from shoes and handbags to candles and dog-collars. In such ubiquity the brand’s aura faded. Exclusivity is a social signal; when the signal becomes noise, the value of the message drops.

The symptom was easy to measure. Sales fell sharply; Kering, heavily dependent on Gucci for revenue and much of its operating profit, struggled to regain momentum. The backlash was not merely commercial — critics accused Gucci of chasing short-term buzz over a coherent long-term identity. As experiments multiplied — more variants, more capsule collections, more licensed products — the wardrobe of the brand became crowded and its story diluted. The paradox was stark: in seeking to be everywhere, Gucci had gradually become nowhere in particular.

Not all luxury is equal: Hermès and the economics of scarcity

Hermès’s counterexample matters because it shows a very different way to create shareholder value. Hermès has leaned into craft, rarity and patience. It does not chase seasonal hype; it polishes and protects. Hermès limits supply, maintains long waiting lists for iconic items, and keeps a highly vertical supply chain that preserves quality and product mystique. Financially, the payoff is immense: scarcity begets price resilience, margins stay fat, and the brand’s valuation climbs as investors prize predictability and margin sustainability.

This is not simply conservatism as vanity. Hermès’s approach is a business model that optimises for durable pricing power and repeat purchasing among a wealthy client base that prizes provenance over novelty. Its valuation, in turn, reflects the market’s willingness to pay a premium for brands that can convert desirability into predictable profits. That is a lesson Gucci’s current owners must treat as more than an aesthetic observation: it is a stark commercial contrast.

The market has changed: Asia, Gen Z, resale and authenticity

Luxury’s growth engine in the 21st century was Asia. China’s booming demand rewrote the geography of luxury; during the 2010s one could almost predict growth by simply looking at luxury tourism flows and Chinese domestic consumption. But the early 2020s brought disruptions: economic slowdowns, shifting political sentiments and a new generation of consumers — Gen Z — whose attitudes to conspicuous consumption diverge from their elders’. For many young buyers the appeal of a brand is not merely its logo but its social meaning: sustainability, uniqueness, provenance, community and authenticity rate highly. They prize brands that tell a layered story and resist obvious flaunting.

Another seismic change has been the growth of the pre-owned market. Gen Z embraces resale not only for price but because second-hand goods are a route to individuality: a vintage Gucci jacket is different in a way that a brand-new logo print is not. The proliferation of resale platforms and a cultural shift towards circular fashion have undermined the old model where more product simply meant more control. A glut of new product fuels a robust secondary market — and that market, while not inherently negative, indicates a mismatch between supply and the deep, branded desire that powers true luxury pricing.

Asia itself is more nuanced now. Young consumers in tier-one cities are sophisticated and fickle; they are global in outlook and local in sentiment. They want luxury, but redefined: the “look at me” flash of the noughties has been replaced in many cohorts by a quieter wealth — ‘slow luxury’ — where craftsmanship and understatement, or culturally resonant collaborations, matter. Brands that read that shift and adapt their product cadence will find footholds; those that do not risk being judged as yesterday’s flex.

How Gucci compares to its peers

Gucci’s difficulties cannot be solely blamed on managerial missteps. The category has changed. Yet while many houses muddle through, a few have demonstrated the right kind of discipline.

• Hermès has insisted on scarcity, vertical integration and product stability. Its strategy turns product restraint into a pricing lever.

• Chanel similarly controls distribution tightly and resists discounting. It keeps its classic codes intact, and while it does innovate, the changes are incremental and usually feel like cultural continuations rather than riffs.

• Louis Vuitton has blended heritage with forward creative appointments, but it too understands the need to keep many of its most powerful symbols rare and elevated.

• Newer players — from streetwear collaborators to “neo-luxury” digital natives — have done well by carefully mediating how and when they appear. Too many drops, too many lines and too much exposure can be a brand’s undoing.

Compared with these peers, Gucci’s error has been a tempo problem as much as a design problem. It moved from high-frequency experimentation (which had short-term commercial upsides) to a cadence that undermined long-term desirability. The lesson is not that Gucci must freeze in amber, but that control and curation — not ubiquity — produce the sweet spot where both consumers and investors align.

Reinventing Gucci: strategy for brand and balance sheet

Rebuilding Gucci requires a dual mandate: win back cultural credibility with consumers, and repair the business model to restore revenues, protect margins and re-create shareholder value. The temptation is to tinker; the wiser move is to re-set guardrails. Below I set out a strategic plan that is bold yet financially focused.

1. Re-establish scarcity and slow the cadence.
Gucci must reduce the number of launches and limit the volumes of certain symbolic categories. Practically: cap seasonal capsule releases, control wholesale allocations, and create deliberate scarcity for headline SKUs (handbags, belts). Scarcity is not a marketing slogan; it is a pricing mechanism. Over time, fewer but more intentional drops will rebuild waiting lists and improve margin per item. Financially, this reduces discounting risk and improves gross margin.

2. Simplify the offer: focus on fewer product pillars.
Museums and markets show us that clarity creates value. Gucci should identify two or three definitive product pillars (say: handbags/leather goods, footwear, and tailoring/ready-to-wear) and commit to excellence in those areas. Peripheral categories (kitchenware, mass-market fragrances beyond strategic olfactory lines) should be ruthlessly audited. By concentrating investment in the highest margin, highest-status pillars, Gucci will enhance profitability and restore signal clarity to consumers.

3. Rebalance distribution: fewer concessions, more control.
Exclusivity is also about place. Gucci must tighten control over where its most coveted pieces appear, limit promotional partnerships and renegotiate wholesale terms. The company should prioritise direct retail (owned stores and e-commerce) where possible because these channels signal premium and deliver better margins. Financially, shifting mix towards DTC can lift gross margin and give closer customer data.

4. Rebuild desirability through craft and storytelling.
Hermès’s advantage is craft; Gucci’s advantage is cultural energy. Fuse the two. Invest in artisanal lines that foreground Italian craft, create limited craft series that are numbered and certified, and tell the human stories behind them. Consumers will pay a premium for provenance; the margin upside is direct.

5. Lean into circular and experiential commerce.
Rather than pretend resale is a threat to be denied, Gucci should partner with leading resale platforms for authenticated vintage Gucci—curated by the house. This keeps control over the second-hand narrative and captures transaction fees and customer data. Additionally, invest in flagship experiences — ateliers, bespoke workshops, immersive stores — to create reasons for high-value customers to engage physically. These initiatives drive revenue (through services and higher-ticket items) and signal stewardship rather than saturation.

6. Refine collaborations to be strategic, not shameless.
Collaborations should be numbered, purposeful and confined to a long-term cultural project. A handful of culturally compatible partners a year — ideally ones that reinforce craftsmanship or heritage — will keep Gucci culturally relevant without turning it into a playground of endless co-brands.

7. Recalibrate pricing architecture and margin protection.
Gucci must avoid the erosion that comes from frequent discounts. Establish clear tiering — classic, seasonal, and limited-edition — with explicit pricing strategy for each. Protect gross margin by ensuring limited editions and craft pieces command significant premium. Over time, as scarcity re-emerges, the house will be able to lift ASPs (average selling prices) without sacrificing volume in the higher tiers.

8. Reconnect with emerging luxury tastes: Gen Z and Asia.
Winning Gen Z requires authenticity and community. Gucci should invest in local cultural partnerships that are not merely promotional but co-creative: music, art, regional designers and story-led capsule projects that respect local aesthetics. In Asia, embrace local narratives: collaborate with regional artisans, host cultural dialogues in stores and create products that carry local meaning without diluting global codes.

A bolder idea: Gucci as a house of heirlooms

If the above are sensible reforms, here is a more stretching proposition: reposition Gucci as a “house of heirlooms.” This is not mere marketing spin; it is a structural shift in how product is conceived, manufactured and priced.

Under this plan Gucci would:

• Create a certified “Heirloom” line, physically distinct and limited in production, with serial numbers, artisan documentation and repair guarantees.

• Offer lifetime restoration services and an authenticated resale channel run by Gucci itself (a vertically integrated pre-owned business). Gucci would buy back, certify, and resell vintage items — capturing margin on both sale and resale, and tightening the product lifecycle.

• Introduce an archival bespoke service where clients can commission one-off pieces based on historical Gucci motifs, at prices that better reflect the true cost of couture.

• Use this architecture to justify fewer mass launches: mass market desirables could remain, but the brand’s centre of gravity would be a premium, durable, high-margin craft tier.

Financially, this model creates several benefits: higher ASPs for the Heirloom tier; new revenue streams from services and authenticated resale fees; improved gross margins due to premium pricing; and, crucially, higher brand equity that supports long-term valuation. The downside is that implementation requires investment in workshops, artisan hiring and resale infrastructure — but those are investment items with multiyear payback and positive operating leverage if executed properly.

Rebuilding the brand

Whatever path Gucci chooses, execution must be surgical. Recommended immediate actions:

• 90-day sprint: prune lower-margin product lines, halt permissive wholesale deals, and announce a “refinement” strategy to signal seriousness to consumers and investors.

• 12-month plan: roll out the Heirloom pilot, renegotiate key distribution contracts, and launch the authenticated resale partnership.

• 24-month horizon: scale artisan workshops, open experiential flagships, and reveal a curated calendar of collaborations for the next three years.

KPIs to measure progress are straightforward: ASP movement, gross margin by product tier, proportion of revenue from DTC, resale channel take rate, inventory days, and brand desirability metrics (waiting lists, secondary market prices, social sentiment). Restoring profitability is not just about cutting costs; it is about re-creating willingness to pay.

The risks of the plan are real. Scarcity can appear contrived if not supported by product quality. Vertical resale requires competencies Gucci may lack. Slowing product cadence could suppress short-term revenue. But the cost of inaction is greater: continued erosion of brand equity leads to diminished pricing power, frozen margins and a vicious cycle of discounting that delivers immediate sales but destroys long-term value. The market has demonstrated, repeatedly, that investors prize predictability and sustainable margins. Hermès’s premium valuation is the market’s reward for patience; Gucci must aim to reclaim some of that discipline.

The luxury of restraint

Gucci’s predicament is a lesson about the economics of desirability. Ubiquity makes a brand visible; scarcity makes it valuable. In turbulent markets — as Asia’s tastes evolve and Gen Z reshapes the rules — the houses that will win are those that understand not only how to be loved today, but how to remain coveted tomorrow.

The path forward for Gucci is less about radical stylistic reinvention and more about strategic self-discipline. Reduce noise. Invest in craft. Curate scarcity. Privatise resale. Make fewer, more meaningful things, and charge appropriately for them. Rewire distribution so that the most prized items are truly rare. In so doing Gucci will rebuild both its cultural cachet and its financial muscle: higher ASPs, improved margins, more reliable cashflows and — in time — restored market value.

That is the paradoxical freedom of luxury: by choosing to do less, Gucci can again become the house that commands the world’s attention.

More from Peter Fisk

• Ecosystems Inc: from music disruption to every industry by Peter Fisk
• The Nexus Effect: unlocking the power of connections by Peter Fisk
• FBF25: Beyond Books, Unlocking the Power of Ecosystems hosted by Peter Fisk

In nature, everything is connected. Every leaf, river, bird, and grain of soil participates in a complex dance of energy, matter, and meaning. Forests breathe life into the air that oceans carry across the planet; fungi whisper through root networks beneath our feet; coral reefs bloom and fade in cycles of abundance and renewal. Nature is not a static system, nor is it controlled by a single actor. It is an ever-evolving web of relationships that thrives through adaptation, interdependence, and diversity.

Today, as business leaders seek to navigate turbulent times — climate crises, technological disruption, social fragmentation, and global realignment — they might look to nature for lessons in how to thrive amidst complexity. For billions of years, life has experimented, failed, evolved, and reinvented itself. In doing so, it has developed a timeless wisdom for how systems grow, sustain, collapse, and regenerate. Understanding this can help us build, manage, and evolve business ecosystems that are not only more resilient but more meaningful and humane.

We explore how natural ecosystems form, function, and transform, before drawing deep parallels with the business ecosystems of today — networks of organisations, technologies, and people that co-create value and shape markets. Nature, it turns out, is the ultimate strategist.

Understanding Natural Ecosystems

The Format of Nature’s Systems

A natural ecosystem is a living system of interrelated organisms and their physical environment. It encompasses the flow of energy, the cycling of nutrients, and the intricate web of relationships between producers, consumers, and decomposers. From tropical rainforests to polar tundra, from coral reefs to desert plains, each ecosystem has a unique structure — its own format, one might say — that reflects the interaction between life and environment.

An ecosystem is not just a collection of species; it is a dynamic network of exchanges. Plants harness sunlight and convert it into chemical energy; herbivores consume plants; carnivores consume herbivores; decomposers recycle the waste and return nutrients to the soil. These interactions are circular, not linear. Nothing is wasted. Everything feeds something else.

The format of a natural ecosystem can be described in three layers:

• Energy Flow: The fundamental movement of energy through the system — from the sun to plants, animals, and decomposers.

• Nutrient Cycling: The continuous recycling of essential materials like carbon, nitrogen, and phosphorus, ensuring long-term fertility.

• Trophic Structure: The hierarchy of feeding relationships — producers, consumers, predators — that maintains balance and diversity.

Healthy ecosystems are self-organising. They do not rely on external control. They maintain stability through diversity, redundancy, and feedback loops. When one species declines, others adapt; when resources change, the system reorganises. This is what ecologists call dynamic equilibrium — a balance achieved through constant movement, not stasis.

Formation: How Ecosystems Emerge

Ecosystems are born from opportunity — from the interplay between environment and life’s restless creativity. A bare rock after a volcanic eruption becomes the stage for pioneering lichens; their acids break down stone into soil, inviting mosses and ferns; these invite insects, which attract birds; and soon a thriving forest stands where once there was only lava.

This process, known as ecological succession, unfolds in stages:

• Pioneer Stage: Hardy species colonise barren environments, breaking down rock and enriching soil.

• Intermediate Stage: Grasses, shrubs, and small trees establish themselves, stabilising the landscape.

• Climax Community: Mature, stable ecosystems emerge, with complex food webs and high biodiversity.

But stability never lasts forever. Fires, floods, disease, and climate shifts periodically disrupt even the most ancient forests. Yet these disturbances are not merely destructive — they are agents of renewal. In nature, disturbance is part of design. The old gives way to the new; nutrients are released, sunlight reaches the forest floor, and new life begins again.

Thus, ecosystems are constantly forming, transforming, and reforming. The cycle of birth, growth, death, and regeneration is not a failure of the system but its essence. Nature’s resilience comes not from rigidity but from its ability to adapt, reorganise, and evolve.

Disruption and Renewal: The Logic of Change

To the untrained eye, a forest fire looks catastrophic. Yet within months, green shoots emerge; within years, animals return; within decades, a richer, more diverse ecosystem may stand where the old one burned. Ecologists call this the adaptive cycle — the logic of nature’s renewal.

This model, originally developed by ecologist C.S. Holling, describes the recurring pattern through which complex systems evolve. It consists of four phases:

• r – Growth: Rapid expansion, innovation, and exploitation of new opportunities.

• K – Conservation: Maturity, efficiency, and accumulation of structure and resources.

• Ω – Release: Collapse, disturbance, or creative destruction — when accumulated rigidity breaks down.

• α – Reorganisation: Renewal, experimentation, recombination, and the emergence of new forms.

Every natural ecosystem moves through this cycle at its own rhythm. A pond may evolve and dry up over seasons; a forest may take centuries. The critical insight is that collapse is not an endpoint — it is a phase in the perpetual dance of life. In Holling’s words, “In nature, collapse becomes compost for the next generation.”

What We Can Learn from Nature’s Systems

Nature’s systems thrive because they follow a few timeless principles — elegant operating conditions that enable life to persist and flourish through endless change.

1. Context Is Everything

Every organism is locally attuned and responsive. A cactus conserves water because it lives in the desert; a willow bends with the wind because it grows by rivers. No universal strategy works everywhere — survival depends on fit.

For businesses, the lesson is profound. Many organisations attempt to impose standardised models across regions, cultures, or industries. But thriving ecosystems — biological or commercial — emerge when participants are contextually intelligent. They sense their environment, adapt behaviours, and co-evolve with their surroundings. In other words: strategy should emerge from place, not be imposed upon it.

2. Relationships Before Tasks

In nature, relationships matter more than roles. The success of a forest is not determined by any single tree but by the symbiosis between trees, fungi, insects, and animals. Cooperation, reciprocity, and mutual benefit are the building blocks of resilience.

In business ecosystems, value creation increasingly depends on networks of partners rather than isolated firms. Apple’s iPhone succeeded not because of the device alone but because of its surrounding ecosystem — app developers, accessory makers, and content providers. The same is true for Amazon’s marketplace, Tesla’s charging network, or Shopify’s developer community. Healthy business ecosystems, like natural ones, thrive on trust, shared purpose, and mutual interdependence.

3. Change Happens

Evolution is continuous; renewal follows disturbance. In nature, there is no such thing as permanent stability. Life adapts — or it dies. Systems that cling to the past become brittle; those that embrace change flourish.

For organisations, this is a call to build adaptability into the core. Instead of resisting disruption, leading companies harness it as fuel for renewal. They experiment, iterate, and evolve — constantly shedding what no longer serves them. The capacity for renewal is the true measure of longevity.

The Adaptive Cycle in Business

The adaptive cycle provides a powerful lens through which to understand the evolution of industries, markets, and organisations. Every business ecosystem — whether in publishing, technology, fashion, or energy — moves through its own rhythm of growth, conservation, collapse, and reorganisation.

Let’s translate the four phases of nature’s adaptive cycle into the language of business.

r – Growth: Exploration and Innovation

This is the entrepreneurial phase — a time of opportunity, creativity, and rapid expansion. In nature, this is the pioneer stage: grasses colonising bare soil after a fire. In business, it is the startup or early growth phase, marked by experimentation and risk-taking.

Examples abound: the early days of Silicon Valley; the rise of digital publishing; the renewable energy revolution. The focus is on discovering niches, testing ideas, and establishing footholds. Diversity flourishes; competition is intense but generative.

In this phase, energy is abundant but structure is weak — just like the first shoots of a forest. The challenge for leaders is to nurture diversity without losing coherence, to allow innovation while maintaining purpose.

K – Conservation: Efficiency and Stability

As ecosystems mature, resources become concentrated and networks stabilise. Energy flows efficiently, but flexibility declines. In business, this corresponds to the maturity phase — when companies optimise for efficiency, scale, and predictability.

Industries standardise processes, dominate markets, and extract value from established systems. This is the phase of consolidation — and often of complacency. Innovation slows; bureaucracy grows; margins tighten.

The ecosystem becomes tightly coupled — highly efficient but fragile. Like an old-growth forest, it looks stable but is vulnerable to shock. The lesson here: efficiency without adaptability is the prelude to collapse.

Ω – Release: Disruption and Collapse

Eventually, rigidity meets reality. A drought, a pest, or a wildfire disrupts the forest; in business, it might be a new technology, regulation, or shift in consumer behaviour. The structures that once created strength now become liabilities.

This is the creative destruction phase — what economist Joseph Schumpeter called the essential driver of capitalism. The book industry, for instance, moved through growth and consolidation and now finds itself in a release phase, disrupted by digital platforms, self-publishing, and AI.

For leaders, the challenge is not to resist collapse but to use it as compost. Decline, if embraced with humility and imagination, becomes the seedbed of renewal. The key is to let go of what no longer serves — rigid hierarchies, outdated models, or unhelpful assumptions — to make space for new growth.

α – Reorganisation: Renewal and Regeneration

After fire comes renewal. The soil is rich, the landscape open, and opportunity abundant. In business, this is the moment of reinvention — when new ideas, players, and structures emerge.

Startups flourish in the ashes of incumbents; new technologies unlock latent value; new networks form. The most successful companies in this phase embrace experimentation, recombination, and learning. They don’t rebuild the old system; they design the next one.

This is where purpose, imagination, and collaboration matter most. Renewal is not about recovery; it is about regeneration — the creation of something more resilient, diverse, and adaptive than before.

The Architecture of Business Ecosystems

Business ecosystems, like natural ones, are living systems of interdependence. They are not linear value chains but networks of collaboration, connecting suppliers, partners, platforms, customers, and even competitors in shared value creation.

Formation

Just as a pioneer plant colonises a barren landscape, new business ecosystems often begin with a catalyst — a technology, idea, or unmet need that opens a new niche. Think of how the iPhone spawned a mobile app ecosystem, or how the rise of renewable energy has birthed vast collaborations between utilities, battery makers, and software firms.

These ecosystems attract participants who see mutual opportunity. Over time, shared platforms emerge — standards, technologies, or marketplaces that enable coordination. The structure evolves organically as participants specialise, collaborate, and compete.

Structure

Healthy business ecosystems exhibit several characteristics:

• Diversity: Multiple actors with complementary roles and perspectives.

• Interdependence: Each participant contributes to, and depends on, others for success.

• Feedback Loops: Continuous exchange of information and value.

• Adaptability: The capacity to evolve in response to change.

In digital ecosystems, these dynamics are visible in platform economies — from Amazon’s marketplace to Microsoft’s developer network. But similar logics apply in local innovation clusters, such as Silicon Valley or Shenzhen, where dense networks of collaboration fuel creativity and speed.

Disruption and Renewal

Like forests, business ecosystems eventually face disruption. Technologies mature, consumer needs shift, and environmental or social pressures demand change. Some ecosystems collapse; others evolve. The difference lies in whether participants treat disruption as a threat to stability or a trigger for evolution.

Learning from Nature’s Design Principles

The parallels between natural and business ecosystems offer powerful guidance for leaders seeking to design systems that endure.

1. Diversity Creates Resilience

Monocultures — whether of crops or corporations — are inherently fragile. Diversity allows systems to absorb shocks, innovate, and adapt. In business, diversity of thought, talent, and partnership fuels creativity and robustness.

2. Redundancy Is Strength, Not Waste

In nature, multiple species perform similar roles, ensuring that if one fails, others can fill the gap. In business, redundancy — overlapping capabilities, flexible teams, distributed authority — increases adaptability. Lean efficiency must be balanced with slack for resilience.

3. Feedback Loops Maintain Balance

Ecosystems regulate themselves through feedback — predator-prey relationships, nutrient cycling, climate response. Similarly, businesses need mechanisms for sensing, learning, and adjusting in real time. Data analytics, customer feedback, and agile management all mirror nature’s feedback intelligence.

4. Collaboration Outperforms Competition

Nature is not a gladiatorial arena but a network of cooperation. Mycorrhizal fungi connect trees through underground networks, sharing nutrients and information. Likewise, companies in ecosystems succeed by creating value together, not merely competing for share. Partnership is strategy.

5. Renewal Follows Disturbance

Disturbance is not failure; it is the engine of evolution. In times of disruption, leaders should focus less on restoring the old order and more on designing the conditions for renewal — cultivating experimentation, decentralising authority, and inviting new voices.

From Sustainability to Regeneration

The language of business has long borrowed from nature — “growth,” “roots,” “organic,” “ecosystem” — but too often superficially. Sustainability has become a corporate mantra, but nature teaches us something deeper: regeneration.

Sustainability seeks to maintain what exists; regeneration seeks to renew what has been depleted. In natural terms, sustainability is equilibrium; regeneration is evolution. A regenerative business ecosystem restores value to society, nature, and the economy — creating positive feedback loops that enhance the whole system.

Companies like Patagonia, Interface, and Unilever are embracing this logic: designing circular supply chains, investing in social capital, and aligning growth with planetary health. These are not acts of altruism; they are acts of adaptation. As in nature, survival depends on symbiosis.

The Future of Business Ecosystems

We are entering an age when no company can thrive alone. The challenges of our time — climate, AI, inequality, health, trust — are systemic, not isolated. They require systemic responses. Business ecosystems are the organising structures of the future.

But to build them wisely, we must look beyond the mechanical metaphors of the past and rediscover the living intelligence of nature. The future belongs to leaders who think like gardeners — who cultivate conditions for others to grow, nurture diversity, and trust the self-organising power of relationships.

As with forests and reefs, the most vibrant business ecosystems are those that continuously renew themselves, balancing order and chaos, stability and change, growth and release. The art of leadership, then, is not control but cultivation — creating the conditions for life to flourish.

Nature’s Mirror

In nature, everything is connected, and everything changes. Systems rise and fall, species appear and disappear, yet life endures — endlessly creative, adaptive, and interdependent. The same is true of business.

To understand ecosystems, in nature or commerce, is to understand the flow of energy, the importance of relationships, and the inevitability of transformation. Nature teaches us that collapse is not the end, but the beginning of renewal. The ashes of the old forest nourish the seeds of the new.

As we face our own age of disruption, the wisdom of nature offers both comfort and challenge. Comfort, in knowing that change is part of the pattern; challenge, in learning to let go of what no longer serves, and to design for life, not control.

In the end, the businesses that endure will not be those that conquer markets but those that co-evolve with them — alive to context, rich in relationships, and ready to renew.

• Join me at this year’s Future Book Forum (FBF25)
• Read my article The Spotify of Books about Gelato

The traditional model of book publishing—author, editor, publisher, print production, distribution, reader—is increasingly under pressure. New technologies, changing reader habits, globalisation and the surge of digital formats all point to a future in which a printed book is just one node in a far broader ecosystem of content, services and experiences. At the heart of that transformation lies artificial intelligence (AI). But the real opportunity is not merely in using AI as a tool; it’s in rethinking publishing as an ecosystem, where books become platforms for engagement, data, interaction and value creation.

Why AI matters

AI brings several powerful shifts to publishing:

• Production efficiency and scale: What once required months of editing, design, typesetting, translation, layout and distribution can now often be compressed, automated or significantly accelerated via AI tools. For example, one study of the African book-publishing sector notes that AI is altering “content acquisition by authors and publishers, content and product development, as well as the marketing and distribution of products.”

• Smarter metadata, discoverability and rights-management: AI can analyse manuscripts for market potential, suggest keywords and metadata, translate text, generate alt-text for accessibility, and optimise cover design or pricing. A vendor dossier on “AI in Book Publishing” highlights use-cases such as trend prediction, demand forecasting, translation & audio, rights management and e-book generation.

• Personalised experiences: Readers are no longer passive recipients of a static artifact. With AI we can imagine more adaptive reading journeys (e-books that change sequence based on reader behaviour), multi-format companions, recommendations based on engagement signals, and interactive or branching content.

• Global reach and localisation: AI driven translation, region-specific case-studies, localised editions, voice-narration for audiobooks all expand the book’s potential into global micro-markets with much faster turnaround and lower cost.

• Ecosystem monetisation beyond one-time sales: With digital platforms, memberships, courses, spin-offs, communities and data streams, books can become recurring-value products rather than single-purchase events.

Why ecosystems matter

The real leap for publishing isn’t just adding AI tools; it’s embracing ecosystem-based models. What does this mean?

• Platform thinking: Instead of treating each book as a one-off artefact, publishers and authors build platforms that host a network of content, services, reader engagement, community feedback, micro-products and data-flows. The book becomes entry-point.

• Interconnected services and content: A book might lead to a companion app, interactive webinars, live events, workshops, subscriptions, spin-out micro-editions, localised versions, audiobooks, case-study databases, community networks.

• Data and feedback loops: Reader behaviour (time spent, dropout points, commentary, sharing) feeds back into the platform and shapes subsequent content, editions, formats, spin-offs. AI helps interpret the data, identify niches, prompt authors/publishers to act.

• Rights and licensing fluidity: Rather than waiting years for spin-offs, rights to translation, adaptation into courses, games, apps, merchandise can be activated more rapidly. The ecosystem spans industries.

• Global and local hybridisation: Ecosystems serve global reach while enabling local flavour. A central edition might be adapted regionally using AI translation + local examples + print-on-demand.

• Reader as co-creator: In some ecosystem models, the reader becomes part of the creative economy—via annotations, feedback, branching narratives, community-led spin-outs. This shifts the role of reader from consumer to collaborator.

Why this matters now

For authors (especially self-publishing), for smaller presses, and for innovators, the convergence of AI + ecosystem thinking offers a generational opportunity: lower barriers to entry, richer forms of engagement, faster time-to-market, greater global reach, and diversified revenue streams. But it also demands new skills (digital platform design, community building, data insight, rights strategy), new mindsets (book as service not just product) and new ethics (AI-use transparency, quality control, author compensation, localised value). The risk is that without thoughtful design, the publishing floodgates may open so wide that quality, trust and distinctiveness are lost.

People plus machines

The UK’s Publishers Association commissioned a report titled People plus Machines: The Role of Artificial Intelligence in Publishing. Among many findings: two-thirds of large AI-active publishers reported they are already seeing benefits from AI investment.  The report also documents specific case-studies: for example, Taylor & Francis partnered with Danish AI-technology firm UNSILO for a three-year collaboration to deploy AI tools in content workflows.

• This case shows the shift from individual publisher projects to ecosystems of organisations: publishers working with AI-vendors, universities, research centres, tech firms.

• It illustrates how internal publishing workflows (editing, metadata, layout, translation) are being embedded into broader service ecosystems where machine + human co-operate.

• By strengthening workflows, the book becomes faster to market, better tailored, and more discoverable — which supports the platform + ecosystem model: the book sits within a network of data, analytics, user insights and downstream services.

Even in “traditional” publishing, the future is not outsourcing one tool but building partnerships (ecosystems) across functions—machine + human + network—to drive smarter, more efficient publishing.

Pioneers of the ecosystem future

Here are illustrative examples from around the world—platforms, publishers, start-ups, services—that demonstrate different facets of the AI-ecosystem future of publishing. For each, I outline what they are doing, why it matters and what you might learn from them.

Case 1: Spines .. self publishing

Spines is an AI-powered self-publishing platform founded by Israeli entrepreneur Yehuda Niv, that allows authors to upload manuscripts and, through an AI-augmented workflow (editing, proofreading, cover design, formatting, distribution), reach global markets in as little as two weeks.
Why it matters: It exemplifies how automation and platformisation make publishing faster, cheaper and more accessible. It lowers the barrier to publishing many voices, thus broadening the ecosystem of content.
What to learn: If you’re self-publishing your business book, adopting a workflow that is efficient, uses AI tools for editing/formatting and links to global distribution, you reduce cost/time and can focus more on value-creation (content, marketing, ecosystem) rather than purely production minutiae.

Case 2: Gelato … print on demand network

Gelato offers a global POD network with production partners across dozens of countries, enabling local fulfilment, regional print runs, low inventory, global distribution for books and other print products.
Why it matters: Physical print still matters, and the ecosystem must integrate print-on-demand, local fulfilment and on-demand versions of books (including regional variants). POD networks unlock localisation and rapid market response.
What to learn: For your business book, consider using POD networks to support regional versions (e.g., Europe, Asia) without large print runs. Localised editions + print-on-demand = cost-efficient global reach.

Case 3: Bookmaker … authoring and production platform

Bookmaker is an AI-based platform (developed by Keenethics) which supports book creation—from interview transcription, outline generation, drafting, to formatting and publishing. It integrates generative AI for text outlining, proof-reading and style consistency.
Why it matters: This shows the fundamental transformation of the authoring and production stage—not just distribution. Authors and publishers can engage AI earlier in the process to accelerate ideation, drafting and revision.
What to learn: You could use AI tools during the ideation phase of your book: outline generation, style templates, translation hints. Treat drafting as part of an ecosystem workflow rather than isolated weeks of writing.

Case 4: Wattpad … trans-media ecosystems

Wattpad, a digital storytelling community, turns popular user-generated stories into books, films or TV. In Japan the model of manga publishers like Shueisha extends into games, merchandise, anime and global licensing.
Why it matters: These are quintessential ecosystem models: the “book” is content that flows into other media, formats and experiences. The value isn’t locked in the book alone.
What to learn: Even for a business book, think beyond the print: webinars, interactive apps, spin-out micro-stories, podcasts, subscription communities. Your book becomes a node in a multi-format ecosystem.

Case 5: Notion Press … self-publishing platform

Notion Press is an Indian self-publishing platform that supports authors with services (editing, marketing, distribution) and aims to reduce lead-times and cost.
Why it matters: It reinforces that platforms are democratising publishing globally; the ecosystem includes many voices, micro-niches and regional markets.
What to learn: If you are self-publishing, leverage the ecosystem of services (editing + marketing + distribution) rather than only doing everything yourself. Platform-supported publishing enables scale and quality.

Case 6: Xynapse Traces … experimental imprint

Xynapse Traces is a publishing imprint built around a multi-model AI infrastructure: ideation pipelines, automated production, human oversight, delivering 52 books in a year, reducing time-to-market by ~90 % and cost-by ~80 % compared to traditional workflows.
Why it matters: This is a glimpse of what publishing might become: high-throughput content factories integrated with data, AI, and distribution. It points to how niche markets or fast-moving topics can be served far more quickly.
What to learn: Consider whether your topic—business innovation/reinvention—is time‐sensitive and whether you might use a quicker production model (e.g., digital-first, micro-editions) rather than a slow annual book cycle. The ecosystem mindset means you can publish chapters, updates, regional spin-outs, rather than one static edition.

Case 7: SnackzAI … book summaries

SnackzAI provides AI-generated summaries of popular books, oriented to busy readers. It invites partnerships with authors and publishers.
Why it matters: This shows how the book ecosystem includes derivative formats—summaries, micro-learning modules—targeting different audience segments. The full-book becomes part of a larger suite.
What to learn: Your ecosystem could include “micro-lessons” extracted from chapters of your book (for executives on the move), short audio bites, quick reference guides. These formats extend reach and engagement.

Case 8: iAuthor …digital platform

iAuthor is a UK-based crowdsourced book-platform linking authors and readers, enabling sharing of samples, analytics, promotional packages.
Why it matters: Platforms that connect author ↔ reader communities provide additional value layers (analytics, discovery, marketing) as part of the ecosystem.
What to learn: You might consider embedding your book launch into a platform/community where readers can sample, comment, engage. The ecosystem becomes relational.

Case 9: Publishing.ai … workflow and production tools

Publishing.ai (and similar platforms) offer dashboards for topic idea generation, outline creation, manuscript generation, and sales analytics.
Why it matters: The authoring/production stage is being re-imagined as a platform. This matters for all authors, especially in self-publishing.
What to learn: Consider adopting (or partnering with) such tools to accelerate your production and free up time for engagement, ecosystem design, marketing, localisation.

Case 10: Rhapsody Media … content-production services

Rhapsody Media’s Engine 2.0 offers content‐production services blending automation, AI and human workflows, enabling “100 pages or 100,000 pages” scale outputs.
Why it matters: It shows how the ecosystem of content (books, serials, marketing assets) is supported by high-scale infrastructure; publishers can outsource parts of the ecosystem rather than building everything in-house.
What to learn: For your project think of the ecosystem’s infrastructure: editing, layout, branding assets, micro-content, marketing collateral. Use service-providers or platforms rather than build everything from scratch.

What the future looks like and how to prepare

As these cases show, the future of publishing is not just incremental change—it is structural. The book becomes less a standalone artefact and more a node in a dynamic ecosystem of content, platforms, community, data and services. To prepare and thrive, authors and publishers need to think differently.

A vision of 2028-2030

Imagine this scenario: You publish a business book on reinvention. Upon release you don’t just sell print copies; you launch a digital platform. A month after publication you roll out: a companion app with interactive tools (frameworks from the book, personalised prompts), a membership community of readers sharing case-studies and experience, short “snack” micro-lessons for busy executives, a podcast series featuring deeper interviews with the book’s leaders and entrepreneurs, regional localised editions (Europe, Asia, Latin America) with tailor­made case-studies and print-on-demand fulfilment. All are powered by AI analytics: the system monitors which chapters resonate, where readers drop off, what questions they ask; your team uses that insight to commission short-run spin-out titles, webinars, workshops. The book evolves: an updated edition appears six months later with new region-specific content; localisation adaptations follow and are printed via local fulfilment networks. The whole is a “learning-and-engagement ecosystem”, not simply a one-time product.

Key strategic questions

• What is the ecosystem you want around your book? It might include membership, online tools, micro-content, live events, community, regional versions. Chart the nodes.

• How will AI enable your production, distribution and engagement? Which parts of your process can be automated or augmented? How will you use data, analytics, recommendation, translation?

• How will you engage readers beyond the purchase? How do you build retention, community and ongoing value? How will you generate recurring revenue rather than only book sales?

• How will you go global and local at the same time? Which markets will you target? How will you localise content? How will you manage regional versions, local fulfilment and language adaptation?

• How will you manage quality, trust and brand? With AI you may scale fast, but you must also guard quality, ethical use of AI, authenticity of author voice, rights management.

• What partnerships will you need? Platform providers, AI-tools, print-on-demand networks, localisation services, distribution partners, marketing/analytics services.

• What are your intangible assets? Your author brand, community network, data on reader behaviour, content rights, platform membership – these become central value drivers.

Practical roadmap

1. Preparation/Ideation Phase

   • Use AI tools (e.g., outline generators, topic research) to refine the book’s themes, market positioning, case-study selection.

   • Sketch the ecosystem: what companion content, micro-formats, community, regional versions do you want?

   • Map the production workflow: manuscript → editing → design → e-book/audiobook → print-on-demand → distribution.

2. Production Phase

   • Adopt efficient tools/platforms for editing, layout, metadata, translation (e.g., XML workflows like BOOXITE-style, generative drafting tools like Bookmaker).

   • Produce core formats: print, e-book, audiobook. Use POD for print runs to reduce risk.

   • Prepare companion formats: summary modules, micro-lessons, interactive worksheets, online course components.

3. Launch & Ecosystem Activation

   • Launch the core book, but simultaneously launch the ecosystem (membership portal, app, webinars, community).

   • Monitor reader engagement via analytics: which chapters are visited, how long users stay, which micro-modules are used.

   • Use AI-driven recommendation: “If you liked chapter 3, try micro-module X”, “Here’s a live workshop relevant to you”.

4. Iteration & Extension

   • Based on data, revise content: maybe release updated edition, regional spin-offs, tailored case-studies for local markets.

   • Expand formats: podcasts, live events, certification modules, corporate training packages.

   • Monetise via subscriptions, services, membership upsells, regional licences, spin-off books.

5. Global & Local Scaling

   • Use AI-assisted translation/localisation to launch editions in other languages/markets.

   • Use POD networks for regional print fulfilment to keep inventory minimal.

   • Build regional communities or affiliate networks (e.g., Europe, Asia) around localised content.

6. Long-Term Ecosystem Management

   • Keep your reader community alive: quarterly updates, member-only content, new case-studies, interactive live events.

   • Maintain data insights: reader behaviour, engagement patterns, conversion to services.

   • Keep investing in your intangible assets: brand, platform, data, community. These become more valuable than the individual book.

The future of book publishing is not merely about faster production or cheaper global distribution (though both are real). It is about reimagining what a book is. A book in 2030 will often be the hub of an ecosystem: digital tools, community, services, data flows, global & local versions, multi-format experiences. AI is the engine that makes this scale feasible, but the strategic shift is adopting the ecosystem mindset.

Join me at this year’s Future Book Forum to explore more!

Appendices

More about Gelato

Gelato is a global print-on-demand (POD) platform with a network in 32+ countries (140+ production partners) that enables creators and publishers to produce and fulfil print products (photo-books, children’s books, notebooks, apparel) locally without inventory.  While primarily about POD products (not always traditional trade books), it demonstrates how physical publishing/distribution can become on-demand, localised and connected to digital/creator ecosystems.

• Inventory-free, global fulfilment: Key for enabling regional versions of books, regional print runs, rapid adaptation, without large stocks.

• Creator economy link: Authors/publishers can link to POD networks to offer special editions, personalised books, regional spins, and integrate with e-commerce platforms.

• Extending beyond the book: The same infrastructure can serve spin-offs (merchandise, interactive personalisation, ancillary products) — so the book becomes part of a broader product ecosystem.

More about Booxite

Booxite is a new production-platform announced in June 2025 by German publishing-technology firm pagina GmbH (in collaboration with partners such as SiteFusion) that offers an “end-to-end” digital workflow for book publishing: from manuscript ingestion, author/editor collaboration, through automated typesetting (InDesign server), digital asset management, print-ready layout, e-book output, accessibility (alt-text), all on one XML-based platform.  Notably, Booxite adopts a “pay-per-use” model rather than large software licensing: a publisher pays for each title processed, making it attractive for small and mid-sized presses.  It also explicitly aims to be “KI-ready” (AI-ready) by virtue of having structured XML workflows designed for downstream AI tools (e.g., automatic alt-text generation, metadata extraction).

• Smarter production: By moving the publishing workflow into a digital, collaborative, structured platform, Booxite reduces manual cost, turnaround time and error-rates.

• Platform thinking: Booxite effectively turns the publisher’s production chain into a software-and-services ecosystem rather than a purely in-house process. The platform is a node connecting author, editor, typesetter, printer, digital output.

• Foundation for AI/analytics: With consistent XML data, publishers can feed downstream AI tools (metadata extraction, recommendation, cost-analysis).

More about Rhapsody

Though not a traditional book-publisher, Rhapsody Media offers “Engine 2.0” — a proprietary content production system blending automation, AI tooling and human oversight — targeted at high-volume publishing, catalogues, book-brands, digital asset workflows.  Their platform supports large-scale production: “From one-off creative to full-scale editorial programmes … whether you’re producing 100 pages or 100,000”.

• Workflow scalability: Large content volumes (books, serials, related marketing assets) become manageable via AI + automation.

• Enabling platforms: Entities like Rhapsody Media become part of the publisher ecosystem — service nodes providing infrastructure for publishers/brands.

• Cross-media extension: The same workflow system can handle books, marketing assets, digital media — enabling the “book-plus” model.

More about SnackzAI

SnackzAI is an app described as “the first AI-book summary app” that uses generative AI to provide high-quality book summaries across topics like entrepreneurship, personal development, management and leadership. It offers a “Author and Publisher Partner Programme” inviting collaborations to expand its summary catalogue.

• Audience engagement & new formats: SnackzAI captures the attention of time-poor readers by providing condensed knowledge experiences. It shifts reading from “full book” to “snackable micro-learning” — a different user journey.

• Platform + service model: Rather than selling a single book, the app offers a subscription or service to access many summaries, making the book’s content part of a larger digital ecosystem.

• Up- and downstream flows: For authors and publishers, partnering with such a platform opens new rights/licensing, derivative content, and possibly leads-to-full-book sales.

If you’ve ever felt simultaneously exhilarated and exhausted by the world of business, you’re not alone. The phrase “there’s never been a better time, never been a worse time” could be the unofficial motto of modern leadership.

On one hand, the possibilities seem limitless: global markets, artificial intelligence, sustainability innovation, and digital connectivity offer unprecedented opportunities for those bold enough to seize them. On the other hand, disruption, volatility, ethical scrutiny, and relentless pace make every decision feel like stepping onto a tightrope during an earthquake.

For today’s leaders, this paradox is not an abstract concept—it is lived experience. Every board meeting, product launch, and strategy session carries both the thrill of opportunity and the dread of risk.

In many ways, the modern business leader is a tightrope walker, acrobat, and visionary rolled into one. This article explores how business leaders navigate this contradictory terrain, drawing lessons from experience, innovation, and ingenuity, and offering inspiration for anyone charged with shaping the future of enterprise.

Paradox

Consider this: a start-up founder in London can prototype a product, access a global customer base, and scale operations internationally in months, not years. Meanwhile, geopolitical tensions, economic uncertainty, supply-chain fragility, and AI ethics loom over every decision. It is a world where yesterday’s certainties dissolve overnight, yet yesterday’s limitations have been obliterated by technology and connectivity.

It is both a renaissance and a minefield. Leaders must simultaneously dream and calculate, embrace experimentation while managing existential risk. This duality is the heart of our paradox: the very conditions that make the present the “best time” are inseparable from those that make it the “worst time.”

Technology

Take artificial intelligence, for example. A few decades ago, predictive analytics and machine learning were the stuff of research labs. Today, AI can write, compose, drive, design, diagnose, and even inspire. A CEO can use AI to forecast trends with uncanny accuracy, automate customer service, or optimise production schedules. The upside? Efficiency, creativity, insight, and scale.

The downside? Every advance brings new responsibilities. Data privacy concerns, algorithmic bias, regulatory uncertainty, and reputational risk lurk behind every line of code. AI can be a lever for growth or a lightning rod for criticism. Leaders must be technologists and ethicists in equal measure, guiding their organisations through uncharted waters with both curiosity and caution.

An anecdote captures this perfectly. A European CEO once recounted a boardroom AI debate where the same team argued simultaneously that AI would either save the company or destroy it. The room laughed, but the truth was, both outcomes were plausible. That is the paradox of our time: opportunities and threats exist in the same moment.

Leadership

Leaders who thrive today embrace ambiguity as a resource, not a threat. They understand that paradox is not a puzzle to solve but a reality to navigate. Several qualities distinguish these leaders:

1. Visionary Flexibility

The best leaders hold a clear vision but allow strategy to flex with circumstance. Satya Nadella’s transformation of Microsoft illustrates this perfectly. He knew the company’s mission—empower every person and organisation—but recognised the changing technological landscape. By pivoting to cloud and AI services, he simultaneously honoured the past and anticipated the future. Vision and flexibility are not opposites—they are complementary.

2. Courageous Experimentation

Emma Walmsley at GSK faced a similar paradox: restructuring a major pharmaceutical company in a sector governed by regulation, public scrutiny, and ethical imperatives. Her success lay in calculated experimentation—reorganising portfolios, doubling down on R&D, and innovating within constraints. Leaders today must be comfortable making informed bets, knowing failure is not only possible but sometimes necessary.

3. Human-Centric Thinking

In a world dominated by data and automation, human empathy has become a strategic differentiator. Jensen Huang at NVIDIA, while steering the company through AI revolutions, emphasised the importance of teams, collaboration, and cultivating curiosity. A machine can process information, but only humans can interpret, contextualise, and inspire. The paradox is clear: technology accelerates progress, yet human insight remains irreplaceable.

4. Ethical Anchoring

Purpose is not a marketing slogan—it is a lifeline. Mary Barra’s leadership at General Motors demonstrates the delicate balance between commercial ambition and social responsibility. By committing to electrification and sustainable mobility, she navigates the dual pressures of market growth and societal expectation. Leaders who ignore ethics risk reputational ruin; those who embrace it can transform constraint into competitive advantage.

Reality

Paradoxes are most instructive when lived. Consider a mid-sized technology firm that decided to implement AI-driven hiring. The system dramatically reduced bias in early-stage screening, yet initially introduced new forms of hidden bias in algorithmic scoring. The leadership team could have retreated to old methods, but instead, they iterated, tested, and adapted. The result? A hybrid system that amplified fairness while accelerating talent acquisition.

Or take a retail CEO expanding into Southeast Asia. Market research suggested the move was high-risk, yet the potential rewards—emerging middle-class consumers, digital-first adoption, and under-served regions—were immense. With careful local partnerships, culturally attuned marketing, and agile supply chains, the expansion became a template for growth in complex environments.

These stories illustrate the paradoxical principle: the same actions can carry simultaneous risk and reward. Leaders who acknowledge this ambiguity, rather than deny it, gain a psychological and strategic advantage.

Paradoxes extend beyond strategy into culture, organisational design, and even product development.

• Remote Work: Flexibility empowers employees, yet hybrid models complicate culture and cohesion.

• Innovation: Rapid experimentation drives differentiation, yet over-iteration can create confusion and inefficiency.

• Sustainability: Environmental initiatives attract customers and investors, yet often require upfront capital and can limit short-term agility.

A playful anecdote captures this well. At a London-based tech start-up, the CEO joked that the company’s greatest innovation was “learning how to disagree beautifully.” Teams argued, iterated, and sometimes failed spectacularly—but by embracing paradox and conflict constructively, creativity flourished. The lesson? Paradox is fertile ground for leadership if navigated consciously.

Opportunities 

While challenges dominate headlines, the upside is extraordinary. Leaders who embrace paradox can unlock unprecedented value:

• Technology as Multiplier: AI, automation, and digital platforms allow scaling creativity and efficiency simultaneously.

• Purpose as Profit Driver: Organisations that embed ethical, environmental, or social purpose attract loyalty, talent, and investment.

• Globalisation with Local Intelligence: Understanding diverse markets allows leaders to reap rewards while hedging risk.

• Ecosystem Collaboration: Strategic partnerships amplify innovation, reduce cost, and accelerate impact.

• Resilience as Differentiator: Organisations that thrive under uncertainty outcompete those that rely solely on predictability.

In short, leaders can treat paradox not as paralysis but as opportunity. The same forces that threaten can propel growth; the same risks that intimidate can differentiate.

Inspiration

In a world of dualities, inspirational leadership becomes a vital tool. Storytelling, authenticity, and connection transform ambiguity into action. Leaders who share both the risks and the opportunities of change invite teams to co-create solutions.

Consider the words of a fintech entrepreneur: “I tell my team we’re either about to fail spectacularly or succeed magnificently—sometimes both at once. The only question is, which lessons we choose to act on.” Quirky, perhaps, but deeply resonant. Leadership is not about certainty; it is about courage in ambiguity.

For leaders seeking to navigate today’s “better-worst” world, several practical principles emerge:

• Embrace Duality: Recognise that challenges and opportunities coexist; act with awareness of both.

• Iterate and Learn: Treat strategy as a living experiment; adapt quickly, fail intelligently, and scale what works.

• Invest in People: Technology is powerful, but culture, talent, and human judgement remain decisive.

• Balance Boldness with Ethics: Risk-taking is essential, but must be grounded in values and integrity.

• Communicate Transparently: Share the paradox with teams, investors, and stakeholders—clarity inspires confidence.

• Celebrate Ambiguity: Encourage curiosity and experimentation; ambiguity is fertile soil for innovation.

The leaders who thrive are those comfortable holding two opposing truths simultaneously: that the world is full of peril and promise, risk and reward, chaos and opportunity.

Thriving

“Never been a better time, never been a worse time” is both a caution and a rallying cry. It reminds us that volatility and possibility are inseparable, that every decision carries both risk and reward, and that true leadership is measured by the ability to navigate ambiguity with courage, curiosity, and purpose.

It is also a call to creativity. In embracing paradox, leaders discover innovative solutions, new markets, and untapped potential. They learn that failure and insight are intertwined, that uncertainty can be energising rather than paralyzing, and that impact grows when risk is managed thoughtfully.

Ultimately, the paradox teaches a profound lesson: leadership is not about eliminating uncertainty, but about thriving within it. The very forces that make our era daunting are those that make it exhilarating. Leaders who understand this can harness change as a force for growth, resilience, and inspiration.

Business leadership in the modern era is a tightrope walk over a chasm of paradox. It is a time of extraordinary possibility and unprecedented peril. The greatest leaders of today—and tomorrow—are those who see opportunity where others see risk, who act decisively where others hesitate, and who inspire their organisations to flourish amid uncertainty.

In a world where volatility and potential coexist, where technology accelerates both progress and risk, and where societal expectations are higher than ever, the challenge is to embrace the contradiction. To see “never been a better time” and “never been a worse time” as two sides of the same coin. To act boldly, ethically, and creatively.

The age of paradox is here. The question is whether you, as a leader, will navigate it, or be swept aside.