The rise of the one-person compnay

Companies exist partly because capability is distributed between people.

One person understands finance. Another can sell. Another designs. Another writes software. Another manages operations.

We assemble those people into organisations because no individual possesses all of the capability required to operate a complex business.

For most of economic history, increasing what a company could do therefore meant increasing the number of people involved.

AI introduces a different possibility.

What happens when an individual can access many of those capabilities on demand?

Capability without headcount

A founder can already use AI to help research a market, analyse competitors, develop a proposition, design an interface, write software, produce marketing material, analyse data and support customers.

None of these capabilities is perfect. And few businesses could currently replace every specialist with AI.

But perfection isn't necessary for the underlying economics to change.

The important question is whether the amount of useful capability available to one person is increasing.

It clearly is.

And it is increasing quickly.

This isn't really about replacing employees

The most interesting consequence may not be companies replacing existing employees with AI.

It may be companies never needing to employ those people in the first place.

Imagine somebody starting a software business ten years ago.

Before reaching meaningful scale they might have needed developers, a designer, marketing capability, customer support and operational help.

Those requirements create a minimum organisational size. They also create a minimum amount of revenue required to support that organisation.

Reduce the number of people required and something interesting happens.

The company can remain smaller. Its costs fall. Its break-even point falls. And markets that previously were not large enough to support a conventional company become economically interesting.

Smallness becomes an advantage

We tend to treat growth in headcount as evidence of progress.

Sometimes it is.

But organisations also create friction.

More people require more communication. More communication creates more meetings. Responsibilities become divided. Decisions travel through layers. The distance between somebody identifying a problem and somebody fixing it grows.

A very small company has different characteristics.

Information travels quickly. Decisions happen quickly. There are fewer handoffs. The people making decisions can remain close to customers.

Historically, those advantages were balanced by limited capability. A five-person company simply couldn't do everything a fifty-person company could.

AI begins to alter that trade-off.

Small companies become more capable without necessarily becoming larger.

The $100 million one-person company

There is already speculation about when we'll see the first billion-dollar company operated by a single person.

It's an interesting thought experiment.

But I suspect it distracts from the more important change.

The transformation will not be one extraordinary person building an enormous company alone.

It will be millions of people building economically viable small companies that previously could not have existed.

Businesses serving narrow markets. Products solving specialist problems. Companies generating substantial profits without needing substantial organisations.

The threshold for entrepreneurship falls because the capability required to operate a business becomes easier to access.

From specialist to orchestrator

This also changes what it means to be capable.

Historically, creating something often meant possessing the skill required to create it yourself.

The designer designed. The developer programmed. The writer wrote.

Increasingly, the valuable capability may be knowing what should happen and being able to orchestrate the resources required to make it happen.

Some of those resources will be human. Others will be artificial.

The distinction may become less important than the outcome.

Judgement becomes more important. Direction becomes more important. Taste becomes more important. Understanding the problem becomes more important.

Again, the scarcity moves.

A different kind of company

AI doesn't necessarily point towards a future without companies.

It may point towards a future containing many more companies, each requiring fewer people.

That would have consequences far beyond technology.

It changes entrepreneurship. Employment. Capital requirements. Management. The kinds of markets businesses can serve. Perhaps even how we think about the relationship between work and organisations.

For a long time, the size of an ambition has been closely connected to the size of the organisation required to pursue it.

AI begins to weaken that relationship.

And that raises a fascinating possibility:

The companies of the future may not become powerful by becoming large. They may become powerful while remaining small.

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