The Rise of the One-Person Economy

AI is changing what one person can build. The opportunity is no longer reserved for people with large teams, large amounts of capital or a traditional entrepreneurial background.

For most of modern business history, building a serious company meant building a team. As the company became more capable, it usually became larger. You needed people for research, sales, marketing, administration, technology, customer support, operations and everything else required to make the business work.

That assumption is beginning to change.

AI is giving individuals access to capabilities that, until very recently, would have required several different people. Software can automate repetitive work. Contractors and specialists can be brought in when particular expertise is required. A founder can research a market, analyse competitors, prepare proposals, create marketing material, build systems, develop a website and increasingly even create software without first assembling a traditional organisation.

I think we are beginning to see the emergence of what I call the One-Person Economy.

This does not mean every business will have one employee, nor does it mean companies will stop hiring people. A successful business that starts with one person may eventually employ ten, one hundred or thousands.

The change is more fundamental than headcount.

One person can increasingly be the starting point of a much more capable company.

One-person businesses are not new. Their capabilities are.

People have worked for themselves for generations. Consultants, tradespeople, shop owners, freelancers, craftspeople and independent professionals existed long before anybody had heard of artificial intelligence.

What is new is what can now sit behind one individual.

OpenAI CEO Sam Altman has spoken about a betting pool among technology CEOs over when the first one-person company valued at $1 billion will appear. Whether that actually happens soon is almost beside the point. The interesting part is that people building some of the world's most advanced technology now believe an individual could eventually create economic output on a scale that once required a substantial organisation.

We can already see movement in the way technology companies are being created. Carta analysed tens of thousands of US startups and found that the proportion with a solo founder increased from 23.7% in 2019 to 36.3% in the first half of 2025.

Stripe Atlas has seen an even stronger shift among companies formed through its platform. In the second quarter of 2026, 63% of C corporations formed through Stripe Atlas had a solo founder, the highest proportion the platform had recorded.

These datasets are concentrated around startups and technology companies, so they should not be mistaken for statistics representing every business in the economy. But they are useful signals.

More founders are starting alone at exactly the same time as the tools available to an individual are becoming dramatically more powerful.

China is already building around the idea

One of the most interesting developments is happening in China.

Hangzhou has begun formally supporting what it calls OPCs — One Person Companies — as part of its AI entrepreneurship strategy. In April 2026, the city's Market Supervision Administration introduced specific measures to support an OPC ecosystem built around individuals using artificial intelligence to operate across areas such as product development, production, marketing and customer service.

A few months later, Hangzhou announced a three-year AI+OPC plan. By 2028, it wants to establish more than 100 OPC communities, support more than 5,000 high-growth OPC businesses, develop more than 100 OPC companies with annual revenues above RMB 10 million and attract more than 30,000 people into the ecosystem.

That does not mean Hangzhou has discovered the future of every business.

But it is a fascinating signal.

An idea that sounds slightly futuristic in Europe is already being treated elsewhere as something worth building infrastructure, policy and communities around.

AI is changing the economics of being small

The real story behind the One-Person Economy is not simply that more people may start companies alone. It is that being small is becoming less of a limitation.

The OECD surveyed more than 5,000 small and medium-sized businesses across seven countries, including Ireland and the UK. Almost one-third were already using generative AI. Among those using it, 65% said it improved performance, 35% said it helped them scale and 29% said it helped them compete with larger companies.

That final point is particularly interesting.

Historically, scale created capability. A larger company could afford more people, more skills, more systems and more infrastructure. Smaller businesses were structurally disadvantaged because they simply could not afford to replicate everything sitting inside a larger organisation.

AI begins to weaken that relationship.

A single person can now have an AI system helping with research in the morning, analysing information in the afternoon and preparing a presentation later that day. The same person can use another tool to build a prototype, automate part of the customer journey, create sales material or help manage the company's knowledge.

None of this turns one person into an expert at everything.

It gives one person leverage.

And we are still relatively early.

The OECD found that only 29% of SMEs already using generative AI were using it in their core business activities. Much of current usage remains focused on relatively straightforward tasks.

That suggests there is considerably more room for the technology to move from being something businesses occasionally use into something businesses are actually designed around.

The first wave of AI adoption was largely about asking a chatbot to write something.

The next wave looks much more like connecting AI to the way a company operates.

You don't need to look like a traditional entrepreneur

This is where I think the One-Person Economy becomes particularly interesting.

There is a tendency to imagine entrepreneurship as a world occupied by a particular kind of person: someone who studied business, worked in technology, raised investment or always dreamed of becoming a founder.

It doesn't have to look like that.

Someone may have spent twenty years in construction and understand a problem nobody has solved properly. A chef may recognise an opportunity inside the food industry. A technician may know how an inefficient process could be improved. A salesperson may understand a particular market better than almost anybody entering it from outside. Someone working in hospitality, beauty, logistics, agriculture, manufacturing, healthcare, engineering, finance or marketing may have accumulated knowledge that other people would pay to access.

Formal qualifications are not the deciding factor.

Valuable knowledge can come from education, but it can just as easily come from a trade, an industry, a family business, a hobby, years spent serving customers or simply having experienced the same problem often enough to realise there must be a better way.

Your starting point might be expertise.

It might be a skill.

It might be relationships.

It might be an audience.

It might simply be an idea.

The important question is whether something valuable can be built around it.

And AI is lowering the cost of finding out.

A company can now begin much smaller

Imagine somebody sees an opportunity today.

They no longer necessarily need to begin by finding five employees.

They can begin with themselves.

AI might handle parts of research, administration, analysis and content. Software can automate repetitive processes. A freelancer might create the branding. An accountant can deal with the accounts. A specialist developer can be brought in for a particular technical problem. A lawyer can review something when legal expertise is actually required.

The company becomes a network of capability organised around one owner.

That is very different from one person trying to do everything themselves.

In fact, I think one of the biggest misconceptions about the One-Person Economy will be the idea that "one person" means "alone".

It doesn't.

The founder's role increasingly becomes one of orchestration: deciding what they should do themselves, what technology can handle, what can be automated, what should be outsourced and when another person genuinely needs to become part of the permanent company.

If the business eventually needs employees, it should hire them.

There is no prize for remaining one person forever.

But there is an enormous difference between hiring because the business genuinely needs another person and hiring because that was historically the only way to acquire a capability.

What becomes possible?

This is where the conversation about billion-dollar one-person companies can actually become a distraction.

Most people do not need to build a billion-dollar company for this change to matter.

Imagine instead a business producing €50,000 a year.

Or €100,000.

Or €500,000.

Perhaps one person builds a highly specialised service for an industry they understand exceptionally well. Another creates a digital product around a skill they have spent years developing. Someone else combines their knowledge with AI to create a service that previously would have required a team of analysts.

A local business owner might use AI to dramatically increase how much they can manage themselves.

A creator might turn an audience into a company.

A tradesperson might recognise that a process inside their industry could become a product.

A consultant might transform what they know into a repeatable service or eventually software.

A person with an idea might simply be able to test it for a fraction of what doing so would have cost five years ago.

Not every attempt will work.

AI has not abolished competition, bad ideas or difficult customers.

But lowering the cost of trying matters enormously.

When experimentation becomes cheaper, more people can experiment.

And when one individual has access to more capability, the range of things worth experimenting with becomes larger.

The scarce resource may become judgement

There is an interesting consequence to all of this.

As building things becomes easier, knowing what is worth building becomes more important.

AI can create a website. It cannot guarantee that anybody wants what the website is selling.

It can prepare a proposal. It cannot tell you with certainty whether the underlying offer is good.

It can research a market. Someone still has to decide which part of that market is worth pursuing.

It can help build a product remarkably quickly. That does not mean the product should exist.

Technology reduces some barriers while making other questions more important.

Who is this for?

What problem are we actually solving?

Why would somebody choose us?

What should we charge?

How will we reach customers?

What should we build first?

What evidence would prove that this works?

The bottleneck increasingly moves away from pure production and towards judgement, direction and execution.

That is an important distinction.

The winning one-person businesses will not necessarily belong to the people who use the most AI.

They are more likely to belong to the people who combine technology with genuine knowledge of a customer, an industry or a problem.

VentureEdge is being built this way too

Part of my interest in the One-Person Economy comes from building VentureEdge itself.

I have chosen to build a company around my own experience, relationships and ideas while keeping the permanent organisation deliberately lean. Technology and AI provide leverage where they are useful, and external expertise can be brought in when something requires capabilities beyond my own.

I am not trying to prove that one person can do everything.

I don't believe that.

I am interested in something much more practical: how much can one person build when they no longer need to do everything themselves?

That question feels increasingly relevant.

There will probably come a point when much of what feels remarkable today becomes completely normal. Companies will routinely use AI throughout their operations. Small businesses will have access to systems that previously belonged to large enterprises. Creating software, analysing information and automating workflows will continue to become easier.

When that happens, the advantage of simply having access to AI will disappear.

Everyone will have it.

The interesting period may be the one we are entering now, when the tools have become genuinely capable but much of the economy is still learning what to do with them.

That creates opportunity.

Not an opportunity for everybody to build a unicorn.

An opportunity for far more people to ask a question that might previously have felt unrealistic:

What could I build with what I already know, can do, or can see?

You may discover there is nothing there.

Or you might discover a service, product, consultancy, technology, small company or completely new idea that could become something significant.

You do not need a particular background.

You do not need a large team.

And you do not need every answer before you begin.

You need something worth exploring and the willingness to find out whether it works.

That is why I believe the One-Person Economy is only beginning.

And perhaps the biggest opportunity created by AI will not be what large companies are able to automate.

It will be what millions of individuals suddenly realise they are capable of building.

At VentureEdge, I work with solo founders and people who believe their skills, experience, knowledge or ideas could become something more. We help work out what to build, how it could become commercially viable, what needs to be created and what needs to be tested in the real world.

Sometimes the first step is simply deciding whether there is something worth building.

And increasingly, there might be.