The Rise of Fast Companies … Smaller, faster-burning companies, where AI multiplies capability, and platforms accelerate growth … Creating the possibility of a one-person, billion-dollar unicorn
March 10, 2026
For most of the 20th century, companies were built to last.
Jim Collins wrote a great book about it. We marvelled at the heritage and longevity of companies.
In that past world, companies required factories, supply chains, distribution networks and large workforces. Capital was expensive, technology moved slowly, and scale required physical presence. The typical organisation was vast and durable: tens of thousands of employees, decades of steady growth, and lifespans that often stretched half a century or more.
Today that model is fragmenting.
The cost of building companies has collapsed. Software has replaced infrastructure. AI is automating most processes and many decisions. And global platforms now provide distribution to billions of users almost instantly.
The result is a new economic phenomenon: companies that are dramatically smaller, grow extraordinarily quickly — and often burn out far faster than their predecessors.
In this environment, a once fanciful idea has begun to circulate in venture capital and technology circles: the emergence of the one-person billion-dollar company.
Not only is it plausible. It may be inevitable.
The logic of the one-person unicorn
The traditional path to a billion-dollar company involved scale in people as well as revenue. Microsoft employed thousands before it became a global powerhouse. Automobile manufacturers employed hundreds of thousands. Even internet companies of the early 2000s required large engineering teams and expensive infrastructure.
But the economic equation has shifted.
Imagine a single developer building a specialised AI product used globally by designers, lawyers or software engineers. Suppose 100,000 customers pay £40 per month — hardly an implausible subscription price for professional software.
That produces £48 million in annual revenue.
In venture capital markets, high-growth software companies often command valuations between 15 and 25 times revenue. At those multiples, a business generating £48 million annually could plausibly approach or exceed a £1 billion valuation.
The maths alone makes the concept credible. The only remaining question is operational: can one person realistically build and operate such a product? Increasingly, the answer appears to be yes.
Whether they would want to, is another question. I personally found that starting a business with someone else is much easier emotionally.
Companies are shrinking
Evidence of this shift already exists.
Some of the most influential companies of the last two decades reached extraordinary scale with surprisingly small teams.
When Instagram was acquired by Meta Platforms in 2012 for $1 billion, it had just 13 employees. Yet the photo-sharing app already served around 30 million users.
Two years later, WhatsApp was acquired by Meta for $19 billion. The messaging platform had roughly 55 employees while serving more than 450 million users globally.
That equates to roughly 1 employee for every 8,000,000 users … Wow!
More recent companies push the ratio even further.
The AI image-generation platform Midjourney operates with fewer than 30 employees yet reportedly generates hundreds of millions of dollars in annual revenue through subscriptions.
Another example is Notion Labs, the productivity software company whose early growth was driven by a small distributed team while millions of users adopted the platform worldwide.
Across sectors — from software to digital media to financial technology — the same pattern appears repeatedly: companies reaching massive scale with astonishingly small organisations.
The trend line points in one direction.
The cost of starting a company has collapsed
A generation ago, launching an internet service required significant capital.
Founders had to:
- purchase servers
- rent data-centre space
- hire specialised infrastructure engineers
- negotiate payment systems
- manage global hosting and uptime
Even modest online services required millions in funding before they could scale.
Today, almost all of that infrastructure can be rented instantly.
A startup can host its entire system on Amazon Web Services, process payments via Stripe, distribute software globally through platforms such as Vercel, and authenticate users through services like Auth0.
What once required a dedicated operations team can now be configured in minutes.
The cost difference is profound.
Instead of raising millions of pounds in venture capital simply to launch, many founders today can operate a product with a few hundred pounds per month in infrastructure costs.
This collapse in fixed costs has produced a surge in small software firms, particularly those targeting specialised niches: tools for podcast producers, analytics platforms for e-commerce sellers, or AI systems tailored to specific professional workflows.
The internet has effectively become a global operating system for companies.
AI is compressing the workforce further
If cloud infrastructure reduced the cost of running companies, artificial intelligence is beginning to reduce the number of people required to build them.
AI-assisted coding tools now generate significant portions of software automatically. Developers describe a new style of work — sometimes called “vibe coding” — in which founders specify what they want a system to do while AI generates large sections of the underlying code.
Instead of writing every line manually, developers increasingly:
- describe product behaviour in natural language
- generate initial code automatically
- refine and debug outputs
- iterate rapidly
The result is an extraordinary increase in individual productivity.
Tasks that previously required weeks of engineering work can now be completed in hours. Entire prototypes can be built by individuals working in evenings or weekends.
The pattern echoes earlier technological shifts. Just as spreadsheets once allowed one analyst to perform calculations that previously required an accounting department, AI is expanding what a single developer can accomplish.
In effect, AI acts as a multiplier of individual capability.
For entrepreneurs, that multiplier may prove decisive.
Platforms provide instant global scale
Perhaps the most powerful force enabling smaller companies is the rise of global digital platforms.
Few startups now operate independently. Instead, they exist within ecosystems controlled by a handful of technology giants.
Consider three of the most influential:
- Apple operates the App Store, distributing software to more than a billion iPhone users.
- Google dominates global search, sending traffic to millions of websites.
- Amazon provides both cloud infrastructure and global e-commerce distribution.
These platforms effectively supply the foundations of modern digital businesses.
A developer can launch an application on an app store and instantly reach users across dozens of countries. Payments, updates, identity verification and distribution are handled by the platform itself.
This allows extremely small companies to achieve global reach on day one.
At the same time, it concentrates immense power in the hands of a few firms.
Startups increasingly resemble species living within vast digital ecosystems. They thrive or struggle depending on the rules set by the platforms that host them.
The life of companies is also getting shorter
While firms can now scale faster than ever, they are also disappearing more quickly.
My research examining companies on the S&P 500 reveals a dramatic decline in corporate longevity.
- In the 1950s, the average company remained on the index for roughly 60 years.
- By the 1980s, that figure had fallen to around 30 years.
- Today, the average tenure is closer to 18–20 years.
Technological disruption is accelerating corporate turnover.
Entire industries can be overturned within a decade.
The video-rental chain Blockbuster LLC collapsed after the rise of streaming platforms such as Netflix.
The once dominant mobile-phone manufacturer Nokia lost its position following the smartphone revolution triggered by the iPhone from Apple.
Even large digital companies face constant disruption. Social networks, mobile apps and consumer platforms frequently rise to prominence within a few years — only to decline just as quickly as user behaviour shifts.
Corporate life cycles are compressing.
The new shape of the economy
Taken together, these trends are producing a different economic structure.
At the top sit a relatively small number of extremely large, durable platforms — companies such as Microsoft, Amazon, Alphabet, Apple, Tencent, Alibaba and Meta Platforms.
These companies provide the digital infrastructure of the modern economy: cloud computing, app distribution, advertising networks, identity systems and developer tools.
Beneath them sits a far more fluid layer of smaller firms.
These companies are typically:
- built quickly
- launched globally
- dependent on platform ecosystems
- staffed by small teams
- and often short-lived
Rather than stable institutions lasting generations, many startups increasingly resemble fast-burning products.
They appear rapidly, capture attention, generate significant value — and then fade as new technologies or competitors emerge.
In biological terms, the corporate ecosystem is evolving toward fewer elephants and far more insects.
What the one-person company would look like
Within this environment, the one-person unicorn begins to look less like fantasy and more like an edge case waiting to happen.
The ingredients already exist:
- AI development tools that multiply the productivity of individual programmers.
- Cloud infrastructure that eliminates operational overhead.
- Global platforms that provide distribution to billions of users.
- Subscription software economics capable of generating enormous recurring revenue from niche audiences.
A single founder might build an AI system used by architects, financial analysts or game designers worldwide.
Customer acquisition could occur through search engines, app stores, or viral social media distribution.
Operations might be largely automated: billing, onboarding, infrastructure scaling and support handled through software systems.
The founder’s primary role would shift from programming toward product design, strategy and iteration.
Even if the company eventually hires employees, the key insight remains: the number of people required to build valuable businesses is falling dramatically.
A future of micro-companies and mega-platforms
The broader implication is that capitalism itself may be entering a new organisational phase.
The twentieth century was the age of the large corporation — vertically integrated, labour-intensive and relatively stable.
The 21st century may increasingly be characterised by two opposing forces:
- mega-platforms that control global digital infrastructure, and
- micro-firms — sometimes only a handful of people — building specialised products on top of those platforms.
Between them lies a constantly shifting landscape of startups rising and falling at extraordinary speed.
This is not necessarily a conflict, more a complementarity. The structure resembles something closer to a digital ecosystem than a traditional industrial economy.
And in that ecosystem, the smallest organisms may occasionally become surprisingly powerful.
The billion-dollar individual
The idea of a one-person billion-dollar company still sounds improbable.
Yet 20 years ago, the idea that a 13-person startup could sell for $1 billion would have seemed equally unlikely.
Technological progress repeatedly compresses the resources required to produce value.
If AI continues to improve developer productivity, if distribution platforms remain global, and if software continues to scale with minimal marginal cost, then the emergence of a billion-dollar company built by a single individual may not be extraordinary at all.
It may simply be the logical endpoint of the trends already reshaping the modern economy.
The companies of the future will likely be smaller, faster and more numerous.
Some will rise to extraordinary heights almost overnight.
And occasionally, one of them may consist of just one person.
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