I’ve lived at the intersection of technology and culture for thirty years. Long enough to write a book about it, start a company on it, and know when the containers stop working.
They’ve stopped working.
Before ChatGPT showed up in November 2022, I put everything I’d learned about perspective for the AI age into Perspective Agents. Thirteen chapters. Two years of research. The core ideas still hold. The reference material doesn’t. A book can’t keep pace with a field that changes what it’s capable of by the hour. That’s the problem with fixed objects in an unfixed world.
I was asked to write another one. I turned it down.
A term is circulating in economics right now. The K-shaped economy. People use it to describe income inequality. The top of the K rises, the bottom falls. Two populations moving in opposite directions from the same inflection point.
The real K-shape isn’t income. It’s intelligence.
For the last hundred years, value was created by accumulating personal expertise. You went to school. You apprenticed. You spent a decade getting good at one thing. The form factor for that expertise was a job. Your knowledge was your moat. Nobody could take it because nobody could replicate twenty years of learning.
AI changes the equation. When that expertise becomes available to anyone with a $20 subscription, the moat doesn’t erode. It drains. Will the AI economy require jobs in the form we’ve known them? What happens to millions of people whose sense of self-worth is tied to work and whose work can now be done by a machine?
These are questions of human readiness. For what’s already here and for what’s arriving.
What’s needed is a curated source that moves at the speed of AI but carries the weight of a person sitting in the material every day. A source that reads hundreds of signals, separates what matters from what’s loud, and tells you what it means for the people living inside the change. Something that balances technical development with human implication and stays alive as the field moves.
This site is an experiment to build exactly that.
An editor’s memo on what this moment demands and why a curated view matters. A weekly intelligence feed drawn from 339 monitored sources, filtered to where you sit inside the change. Foundational essays from a practitioner who has been in the room when technology meets people who aren’t ready for it.
The question I hear most: What should I read to stay on top of AI?
Wrong question.
Where do I go to get into the flow?
This is an experiment to find out.