HubSpot Selling Your Data, Meta Made $98B Overnight, and Ford Fired the Wrong People
For two years the AI conversation has been about the models. This week it was about what companies do when AI changes what they're worth.

A unique perspective from Dave Elkington on how systems are changing before org charts do, and understanding the transition from software tools to digital labor.
For two years the AI conversation has been about the models. This week it was about what companies do when AI changes what they're worth.
For two years the AI boom has looked bulletproof. This week it showed where it can break.
The companies that understood what phase the market was entering are moving. The ones still defending what they built in the last cycle are spending billions to patch the gap.
Nobody announced a better model this week. The real moves were all about what surrounds them.
We are entering an era where hardware is private, software charges by output, distribution wins, and your GTM playbook just changed.
Wall Street and private markets are tracking hard unit economics, rewarding infrastructure ownership, and punishing companies that use technology purely as a defensive shield.
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This week, five companies proved the conversation has moved. The fight is no longer about who builds the smartest AI. It is about who owns every layer of the stack intelligence runs on.
Most leaders are still clinging to the biggest lie in tech: that headcount is a proxy for growth. That math is broken."
We are moving into a much more aggressive phase where the moats are no longer digital. They are physical.
The game has moved from "what can the model do" to "how much work can the agent execute."
The model war is no longer the main event. The war for distribution and the interface has officially begun.
This week’s biggest AI moves were not models. They were distribution, infrastructure, and interfaces.