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Do You Want Your Team to Execute, or to Think?

There is a question quietly separating companies that will thrive in the next decade from companies that will quietly stall: are we building people who execute, or people who think?

For most of the last twenty years, the answer did not matter much. Execution was the bottleneck. Founders rewarded speed, compliance, and follow-through, because that is what scaled a $2M company to $15M. The team that does what it is told, does it fast, and does it consistently — that team wins.

That era is ending. And it is ending because the cost of pure execution is collapsing.

The doing is becoming the cheap part

AI is now writing the first draft of the contract, the first draft of the campaign, the first draft of the support response, and the first draft of the financial model. Whatever your team spent its mornings doing in 2019, a meaningful portion of it is now a prompt away.

This is not a prediction. It is what we are watching happen in real time inside growth-stage companies right now. And it creates an uncomfortable situation for any founder who built a culture that prized doing over thinking: the doing is becoming the cheap part.

What is left? Judgment. Pattern recognition. The ability to look at a situation, see what is actually happening, and decide what to do about it. That is the human edge — and it is the one many founders have spent years training out of their teams in the name of execution discipline.

Marquet saw this twenty years ago

David Marquet, a former U.S. Navy submarine commander, took the worst-performing nuclear submarine in the fleet and turned it into the highest-graded ship the Navy had ever measured. He did it by inverting the standard command-and-control model. Instead of pushing information up the chain of command so that authority could decide, he pushed authority down to where the information already lived.

His book Turn the Ship Around remains one of the clearest explanations of how to build an organization of thinkers rather than doers. The four diagnostic questions he asks of leaders are worth holding up against your own company this week:

1. Are you trying to avoid errors, or achieve excellence?

2. Are you trying to be good, or to get better?

3. Do you push information up to authority, or push authority down to information?

4. Do you want your people to do, or to think?

These are not philosophical questions. The answers show up in your meetings, your hiring decisions, and the way your team responds when something unexpected happens on a Tuesday afternoon. A team trained to “do” will wait. A team trained to think will move.

The cost of a “Do” culture in 2026

In a “Do” culture, the founder is the brain and everyone else is a hand. That model has a clean appeal: decisions are consistent, the founder retains control, and execution is fast for any task that has been seen before. The trade-off, which used to be acceptable, is that nothing new ever gets solved without the founder in the room.

Now layer AI on top of that culture. The hands get faster — much faster. But the bottleneck does not move; it just becomes more visible. The founder is still the only one thinking, and the volume of decisions waiting for the founder grows in proportion to the team’s new speed. I have seen this pattern in my work with growth-stage clients more than once in the last twelve months.

A “Think” culture handles the same shift differently. The same AI tools land in the hands of people who are already trained to ask why, to notice what does not fit, and to act on what they see. The output is not just faster execution — it is better decisions, made closer to the customer, without waiting for permission.

Learning to see

Marquet pairs his leadership questions with a second framework that I have always found valuable, because it is the precondition for thinking. He calls it learning to see. The principles are deceptively simple:

1. No one of us sees what we all see.

2. If you see something, do not assume others see it.

3. If you see something, say something.

4. We see what we have words for.

The fourth one matters most. A team without shared language for what is happening in the business cannot think together — they can only react individually. This is why my Execution Canvas work always begins with naming things: the constraint, the priority, the trade-off, the unknown. Once a team has the words, they can see it. Once they can see it, they can act on it without being told to.

Here’s my take

If the question “Do you want your people to do, or to think?” made you uncomfortable when you read it, that is useful information. Sit with it for one meeting cycle before you do anything else.

Then try this: the next time someone on your team brings you a problem, resist the temptation to solve it. Ask them what they see, what they would do, and what they need from you to do it. If the answer is silence, there is work to be done. If the answer is a clear plan, the work has already started.

The companies that win the next decade will not be the ones with the best AI stack. They will be the ones whose people still know how to think — and whose leaders made room for it.