The tiny company is no longer a joke. A few years ago, the idea of building a proper company with one, two, or three people still sounded far-fetched.
It usually came wrapped in internet bro nonsense. Work from anywhere, automate everything, run a tiny empire from your laptop in Thailand while the tools do the hard bit in the background.
That version still sounds unlikely. The useful version is harder to ignore now.
This keeps coming up in Millennial Masters conversations with founders building around AI. Nobody seriously thinks it has fully arrived, but the shape is becoming clearer.
AI lets one person do more, that’s already real. The bit people keep skipping is that the person has to be good. 👇🏻
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Hiring pressure comes first
Anjeanette Carter described AI as the thing that turned her into “an army of copywriters”. She made the “very, very tough decision” to stop working with writers because she could now take that work back in-house.
AI made that possible because she already knew the craft. It didn’t give a beginner the same judgement overnight.
Nick Holzherr is seeing something similar. He said firms are “not hiring junior marketing people anymore” in the same way. They’re hiring more senior people who can use AI, which means “they just need less people.”
Thibault Louis-Lucas is already organising work differently because of it. He says he doesn’t have employees. He has several products and partners with “one very skilled maker” for each one. His view is that we’re moving towards “less management” because the person being managed can increasingly be replaced by AI.
Skill does the heavy lifting
This is the part most AI hype gets wrong. The new one-person company raises the standard.
Anjeanette makes the point better than anyone: “AI is an amazing tool. But it’s only an amazing tool if you can marry your expertise with it. If you don’t have expertise in a specific area, AI isn’t going to make it better. It’s only going to amplify your limited knowledge and expertise.”
If you already have taste, AI can help you move faster. Without it, the tool mostly helps you produce more work that still needs fixing.
People with real skill get more from AI because they can brief it properly and spot when the answer is off.
The work that needs you
AI can clear away some of the work that eats up the day, giving you more room for the decisions you still need to make yourself.
James Augustin said humans should be doing things that are “innately human”, especially the work where another person still needs to believe you. In his words, “that’s the highest leveraged thing a human can be doing.”
You shouldn’t be spending all day dragging work through admin and early drafts. AI can take more of that weight, while you stay close enough to make the calls that actually shape the business.
Anjeanette’s warning matters here too. “I think the biggest thing right now is judgment,” she said. AI still needs that human expertise.
The fantasy version still breaks
There’s a lazy version of this story that needs shutting down.
It’s the one where AI agents run the whole business while the founder disappears, and companies switch off whole teams because the software can apparently handle everything now. For most real companies, that’s still fantasy.
Josh Payne said he once thought we were close to fully self-improving agents that could do everything without human involvement. His view changed. “Human plus AI is currently still better than AI only in most cases.”
Ben Tasker’s example shows what happens when companies pretend otherwise. He described an organisation that tried to replace a call centre with AI, laid off the employees, then realised the AI was horrible and had to hire everyone back a few weeks later.
The one-person company works when the founder knows how far the tool can go before human judgement has to take over.
Building is cheaper, demand is not
AI has made building cheaper and faster. Demand doesn’t arrive just because the product exists.
If one capable founder can now make more with fewer people, building itself becomes less rare. The hard part becomes getting the right people to care.
Tibo asked the right question: “Imagine if you do not need developers at all to create products… where is the value then if it’s not in the product itself?” His answer is distribution and storytelling.
Jason Tan showed what this looks like in practice in his guest post. With Engage AI, code didn’t just help him build the product. It helped him find the first users by building small useful things that reached the right people before they knew the main product existed.
A small team can now make more things, which means the market gets noisier faster. You still have to know who it’s for and how it gets to them.
Simon Jenner’s point makes this more interesting for small markets. When tech costs drop, markets that were too small before can start to make sense. A tiny audience that couldn’t support a traditional build cost may be enough for a leaner niche product if the numbers work.
The one-person company can work in smaller sectors when the founder understands them well enough to reach it.
Taste is the limit
AI can help you carry more before you hire. It can also help you produce a lot of average work when you don’t know enough to see what’s missing.
This works when you already know what you’re doing. You need enough judgement to know how far the tool can take the work before your own taste has to take over.
AI can make one person more powerful. It can’t give them taste.
The idea of the solopreneur used to mean sacrificing quality for the sake of automation, but leveraging AI successfully really just boils down to having exceptional taste.
Great article Daniel. I love the part about still needing to be good. You still need that judgement and expertise, which AI can't replace.