Size Doesn't Matter

For a long time, how many people you employed said something about your startup's success. Headcount meant status. Investors used it as a proxy for traction, journalists used it as a proxy for importance, and founders used it as a proxy for progress. Even inside companies, the size of your team signalled how seriously people should take you and your contribution.

AI is doing away with the need for many different functions, and it is changing the types of people you need and when you need them. You could even argue that too many people are now a sign of inefficiency. Rather than being applauded, a big team should be questioned by investors and clients, because the extra costs and overheads reduce returns on one side and push up pricing on the other. When the two biggest reasons companies hired in volume, shipping the product and selling the product, are both being rationalised, team size is no longer a useful way to judge progress or potential. Arguably it never should have been.

When AI fully streamlines these functions, what is left that genuinely needs headcount? Probably a much smaller list than most org charts suggest: perhaps domain-level judgement, perhaps relationships, perhaps creativity, strategy, and organising resources and roadmaps. Much of the rest may just be a hiring habit, and a way of spending investors' cash because that's the way it has always been done.

I suspect the result is not just leaner startups, but a different idea of what a company is. When scaling revenue no longer requires scaling people, successful companies may stay surprisingly small for much longer.

Dario Amodei, the CEO of Anthropic, has predicted that we will soon see the first one-person billion-dollar company. A few years ago that would have sounded absurd. Now it sounds inevitable. AI scales in a way that teams cannot. It offers a one-to-many return on investment: build a process or system once and it delivers over and over again. Training people does not work that way. People leave, and their expertise leaves with them. Even with the most codified processes, someone new still has to learn them.

Scalability isn't the only reason a lean structure beats a larger team. Lean is simply better when technology moves this fast. The landscape changes every few months, and the companies that win are the ones that can respond quickly. The more people you have, the more alignment, process and politics you need before anything changes direction. Too many people can mean an inability to adapt, and right now that is a liability rather than a strength.

Being lean doesn't mean being alone, though. Even if you are building on your own, you can still benefit from working with people. They just don't need to be traditional hires in a traditional startup set-up. I think we will see more loose coalitions, networks, contractors, agencies, board members and advisors. They will fill crucial gaps, but also provide the camaraderie, support and resilience that are still needed, both for the business and for the people in it. We still need to work with others, and ideas and connections are still traded. What changes is how influence grows. It used to spread downwards and inwards, through employee numbers and culture inside the organisation. The future may be culture and influence spreading sideways and outwards.

All of this matters when having discussions with investors and with enterprise clients. One of the things investors used to judge a company on, team strength and a balance of specialisms, arguably matters much less now. Instead, you need to show them that one person driving is actually better than decision by committee, because speed and adaptability beat diversity of experience when AI has covered so many of the gaps a broader team used to fill. On the sales side, it can look intimidating when a small team seems to be batting above its weight with enterprise clients. But it makes sense, and clients can be reassured when you explain that automation handles much of the operations, which leaves more time for high-level work and for them.

My prediction is that in a few years, we will be in a new era where team size is just not discussed anymore. Non-technical founders used to be told they needed a technical co-founder. That is now rarely an issue, and it has largely been forgotten as a criterion for judging a startup's success. In the same way, team size and dynamics will no longer be pertinent. What investors and clients will be asking (and what they should be asking) is: how much technology are you using to drive returns, results and innovation, and where headcount is used in place of technology, why that is better? In effect, you will have to justify why each person matters, what their role adds, and why investor money or client trust should move in that direction.