Get the argument
Start with the book's central claim: AI is not a tool upgrade. It is a cognitive reorganization - of expertise, institutions, and what leadership means.
The Cognitive Revolution
Jiajie Zhang has spent four decades studying how minds, machines, and institutions think together. He was there at UC San Diego when backpropagation was invented and distributed cognition was developed. He’s writing now about what comes after. He is a cognitive scientist, dean, professor, and a fellow of AAAS, ACMI, AIMBE, AMIA, and IAHSI.
Why this site exists now
The book made the argument. This site is where it gets stress-tested, extended, and applied — by leaders who know something fundamental has shifted and are trying to think clearly about what to do next.
Start with the book's central claim: AI is not a tool upgrade. It is a cognitive reorganization - of expertise, institutions, and what leadership means.
Use the book, the essays, and frameworks as a thinking partner for your hardest strategic questions: What do we redesign? What do we keep? What do we stop pretending still works?
The essay archive is the book's living extension. New arguments, harder cases, and sharper provocations keep appearing here.
Core ideas from the book
AI is not simply another technology wave. It is a reorganization of where cognition lives, who controls it, and what it produces.
Thinking has left the building. It now lives across people, models, data, and workflows simultaneously. The individual genius was already a myth. Now even the pretense is gone.
The person who knows the most used to win. That era is ending. What's scarce now is the ability to orchestrate, evaluate, and design systems that think well — with and without human involvement.
Some organizations are layering AI onto what they already do. Others are asking a harder question: if we were building this institution today, knowing what AI can do, what would we actually design? The gap between those two groups is widening fast.
Leadership in the age of AI
The leaders asking "which AI tools should we adopt?" are already behind. The right question is harder: Where does intelligence actually live in your organization — and is that still true? This site is built for the people willing to ask it.
Not where you assume it does. Not where the org chart says. Map it honestly and something uncomfortable usually appears.
Most institutions are rewarding people for skills that AI has already absorbed. That's not a technology problem. It's a leadership problem.
That question is the real test of AI-native thinking. Not "how do we use AI" but "what do we finally get to stop pretending works?
Start here

The institutions that survive this era won't be the ones that used AI most. They'll be the ones that understood, early enough, that cognition itself had been reorganized — and acted accordingly.

Intelligence used to be locked inside people. Now it can be forked, distributed, and scaled across systems. That one shift changes what an institution is, what expertise is worth, and what leadership is for.

Every classroom, curriculum, and credential system was built on two assumptions: that knowledge is scarce, and that intelligence is individual. Both are now wrong. What learning looks like when neither is true — that's what this essay is about.
Latest writing
Watch & listen
The site stays centered on the book and the ideas. The videos and podcasts page gathers public media that makes the framework easier to watch, hear, and share.