Why every business must be rebuilt.
A three-pillar argument on the future of work, the cost of intelligence, and the redesign ahead.
There are two kinds of businesses being built right now. One of them will not exist in ten years. The first is a business that uses AI. The second is a business that is AI-native. Those two sentences sound like they describe the same thing. They do not.
This thesis is the case for the second kind. It is written in three pillars, each one a long-form essay, each one standing on its own but strongest when read in sequence. The argument starts with the idea, moves through a worked example of what the rebuild actually looks like, and ends with the shape of the team that runs an AI-native company.
If you are an operator deciding where to place your bets over the next decade, this is the document we would hand you before we ever talk about working together.
The AI-Native Thesis
Why bolting AI onto an existing business always fails, and what it actually means to be rebuilt around commoditized intelligence. The foundational argument.
Read Pillar One → Pillar TwoThe AI-Native Blueprint
A worked example. Stanley Land Co runs three humans and an AI platform against traditional fifteen-to-twenty-five person firms in the same industry. Here is what the side-by-side actually looks like.
Read Pillar Two → Pillar ThreeThe AI-Native Team
Specialization over generalism. Sales and taste over everything else. How to hire, compensate, and structure the team that operates an AI-native company at a million dollars in revenue per employee.
Read Pillar Three →Ready to redesign your business around AI?
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