The Race Is On
The AI-first organization is completely different from a typical company — and you may not understand why.
The Next Computer Is Alive
Everyone projecting AI's future needs is doing the same math: more models, more data, more chips, more power. Linear extrapolation from a technology that is running out of room. Disruption always looks far away — until it arrives overnight. Here's what's actually coming.
The AI Shuffle
Your teams came in with a deck. Old tools on the left, new tools on the right. Same boxes. Same workflows. Same logic. Just .ai instead of .com. It looked like transformation. It was a shuffle. And it’s happening in almost every company I walk into right now
The Bear Case for the Model Makers
Among the first AI models to achieve mass acceptance — language models, diffusion models — were systems built on the one input every lab in the world has equal access to: the public internet. Commodity data in. Commodity output out.
The Intelligence Stack: What to Buy. What It Replaces. How to Wire It Together.
Part 1 showed you why the companies winning at AI are playing a different game. This is the equipment list. A complete map of the intelligence available right now — commodity brains, open-source alternatives, and domain-specific AI models — plus sample stacks for three different kinds of companies.
The Companies Winning at AI Are Playing a Different Game.
They're not buying more tools. They're not running more pilots. They're building something that gets smarter every single day. A recursive engine their competitors can't copy because by the time you see it, it's already three laps ahead. Here's exactly how they do it.
Software Is Over
Don’t let it be the anchor that pulls your company under. 30 years at the intersection of tech and disruption: LinkShare before affiliate marketing, Spire Global before satellite data, Collective[i] before AI. Every disruption follows the same shape. Here’s what this one requires.
The Bull Case for the Model Makers
The argument that one or two LLM providers will own the operating system of the world — and that every company, government, and human workflow built on top of them will pay rent to whoever wins.
The Trade-Off Nobody Is Making
The AI-will-take-your-job argument skips straight to UBI without asking the most important question: if they're right about displacement, what happens to the cost of everything? That answer changes the entire debate — and almost nobody is making it.
The jobs nobody has heard of yet
The jobs people are afraid of losing mostly pay less, demand more, and offer fewer possibilities than the jobs coming to replace them. We've never once looked back and wished we could return. Why would this time be different?
We're complaining about the wrong thing
AI's energy demand is being treated as a crisis. It might be the best gift America has received in fifty years — if we're willing to see it that way.