The funny part is that AI founder mode still ends up teaching the same old lessons about management.
You can spin up all the agents you want, but somebody still needs to give clear instructions, check the work properly, and keep the whole thing from turning into chaos.
It's very true. It's also the place where technical expertise and engineering talent still matter relative to the quality of the agents that are built and the infrastructure that is built around them, especially on the database and data lake side of things.
One of Chesky’s major points of emphasis is that technical know-how, especially on the engineering front, are enormously important, and the capacity of every member of your team to code, i.e., build applications that s critical.
Personally, I think there's part of the generalist narrative that is accurate, but I also think the wider discussion about generalism is possibly missing the point.
Wild thought on generalists vs specialists - but as a specialist, you can only hide behind AI responses for so long, sooner or later your communication skills will show up in real life.
Agreed, and I think there will become a requirement to become specialized across more domains.
To your point about the importance of how agents are directed, built, quality of prompts, et cetera, the specialist capacity enables top-quality output on that front.
I’d very much appreciate your feedback on this academic research: Why do some environments generate more opportunities for founders than others, even with the same people and effort? That’s the classic Luck Surface Area concept.
The answer is environmental geometry. The shape of how encounters happen. Some spaces create unexpected collisions. Others are transactional. You can provide direct insight into this.
I'm collecting perspectives from across Vancouver's ecosystem. This becomes a public digital asset and talk.
Micro-CEO is a much better mental model than AI assistant, mostly because it forces the uncomfortable question: what decisions is this thing actually allowed to make? Most people are building magical interns and then acting shocked when the work comes back intern-shaped. Decision rights are the whole game.
This is an important reframing of leadership in the AI era.
AI may reduce the cost of execution, but it does not eliminate the need for people who can take ownership, exercise judgment, and move important work forward without waiting for constant direction.
The most scalable organizations will not simply have founders using better tools. They will create leverage through people who think like owners, operate with accountability, and use AI to multiply their effectiveness.
That is how extraordinary outcomes are built: ownership, leverage, judgment, and systems working together.
I’ve been writing about this same pattern in The Billionaire Gap, where I examine the hidden structure behind extreme wealth creation. Subscribe here on Substack and follow along.
This is becoming the norm. Is one of the three positions Jack Dorsey mentioned in his article about the new organizational structure. Direct Responsible Individual (DRI).
The funny part is that AI founder mode still ends up teaching the same old lessons about management.
You can spin up all the agents you want, but somebody still needs to give clear instructions, check the work properly, and keep the whole thing from turning into chaos.
It's very true. It's also the place where technical expertise and engineering talent still matter relative to the quality of the agents that are built and the infrastructure that is built around them, especially on the database and data lake side of things.
One of Chesky’s major points of emphasis is that technical know-how, especially on the engineering front, are enormously important, and the capacity of every member of your team to code, i.e., build applications that s critical.
Personally, I think there's part of the generalist narrative that is accurate, but I also think the wider discussion about generalism is possibly missing the point.
Wild thought on generalists vs specialists - but as a specialist, you can only hide behind AI responses for so long, sooner or later your communication skills will show up in real life.
Agreed, and I think there will become a requirement to become specialized across more domains.
To your point about the importance of how agents are directed, built, quality of prompts, et cetera, the specialist capacity enables top-quality output on that front.
I was just about to leave this comment. Speed is great, but you still need that quality in judgment and running your operation.
I’d very much appreciate your feedback on this academic research: Why do some environments generate more opportunities for founders than others, even with the same people and effort? That’s the classic Luck Surface Area concept.
The answer is environmental geometry. The shape of how encounters happen. Some spaces create unexpected collisions. Others are transactional. You can provide direct insight into this.
I'm collecting perspectives from across Vancouver's ecosystem. This becomes a public digital asset and talk.
5-minute survey: https://forms.gle/5E2qHxKXqqNEXBsy7
Framework: https://understandingdigitalculture.substack.com/p/luck-surface-area-revised
Micro-CEO is a much better mental model than AI assistant, mostly because it forces the uncomfortable question: what decisions is this thing actually allowed to make? Most people are building magical interns and then acting shocked when the work comes back intern-shaped. Decision rights are the whole game.
This is an important reframing of leadership in the AI era.
AI may reduce the cost of execution, but it does not eliminate the need for people who can take ownership, exercise judgment, and move important work forward without waiting for constant direction.
The most scalable organizations will not simply have founders using better tools. They will create leverage through people who think like owners, operate with accountability, and use AI to multiply their effectiveness.
That is how extraordinary outcomes are built: ownership, leverage, judgment, and systems working together.
I’ve been writing about this same pattern in The Billionaire Gap, where I examine the hidden structure behind extreme wealth creation. Subscribe here on Substack and follow along.
A related issue is here:
https://drrichardbushart.substack.com/p/why-billionaire-outcomes-follow-a?r=8cv3bq
Always Reach Higher,
Dr. Richard Bushart
This is becoming the norm. Is one of the three positions Jack Dorsey mentioned in his article about the new organizational structure. Direct Responsible Individual (DRI).
The shift from managing people to managing systems is the hardest leap for most leaders to make, but it's the only one that scales now.
Founder mode in the AI era feels less like control... and more like system design in my view
Interesting thanks for the share John!
Building your own "Claudia" 💙