Leading an AI Native Team the Right Way

I’ve led small teams many times — mostly development work, or where development itself is part of the business. When facing real business, there’s often no ready-made tool to use; you have to build it yourself, and with AI you can meet those needs very easily.

Early in my research on AI Native teams, my judgment was that the founder’s ability must be truly exceptional. If you keep the team minimal and the founder’s ability can’t support the entire business flow, it causes a very serious failure. Founders must be able to use AI tools to solve their own needs, and treat AI tools as a strong lever to raise their team’s output.

But reality told me that founder excellence alone isn’t enough. That’s why I set out to research AI Native teams.

The deeper the research went, the more I found that everyone on an AI Native team needs strong individual ability. When we re-arrange the entire AI Native business, we find that no one on the team is fixed in a single seat — they cut across the whole business flow. Without strong individual ability, there’s no way to keep the team running normally.

A team where everyone is very strong is very hard to manage, and it places higher demands on the founder: the founder needs not only ahead-of-the-curve thinking in decisions, but management ability that differs from traditional founders (this piece assumes an AI Native Team has no middle management layer).

So the question comes back to: how do you lead a managerless organization well?

Without traditional administrative authority, the team must rely on consensus, mutually agreed rules, and one shared goal to drive the operation of the AI Native team together.

In this kind of managerless organization, the first thing is that everyone needs a common goal. All members need to orient around this common goal as the core, making sure everyone can take part in the discussion about this common goal.

Second, there needs to be an efficient system tool chain. In a managerless organization, communication is a very large cost — you have to sync everyone’s work progress and drive everyone’s output. Without a board for task flow, you fall back into the situation of passively receiving task assignments in the traditional structure.

In an AI Native team, the founder’s role shifts from leader to coordinator. In practice you find that many founders, having lost management authority, develop an even stronger desire to manage.

When an organization evolves toward decentralization, no-management, or peer structures, the founder faces a very intense psychological conflict, because the founder personally bears the risk of the AI Native organization’s ultimate survival, yet loses the ability to command under the AI Native structure. This risk/reward asymmetry changes the founder’s psychology, showing up in practice as an even stronger desire to manage, used to ease that inner conflict. Another point: when the team runs itself, the founder loses the center position of the team, which also brings more psychological pressure.

If the founder can’t properly handle this situation, the AI Native structure collapses — on one side the collapse of member trust, on the other the failure of the system.

In fact, handing management authority back to the system and the team isn’t to make yourself more idle; it’s to release energy and do the real business.

AI Native team founders need to raise their altitude of vision, center the business on building the common goal and on acquiring external resources, and at the same time put energy into building better systems.

But this raises the demands on founders even higher: they have to manage external resources and build internal working mechanisms. At this point, if you can bring in a third party to assist with system building, that is the most perfect solution.

This is also what I’ve been doing. My work is to design a perfect internal system so that an AI Native team can run well, and the founder of an AI Native team can put all their energy into building the common goal and external resources, without being disturbed by system design work.