AI
AI model vendor lock-in is no longer just a procurement risk. As frontier labs move up the stack, it's an existential margin risk — and the founders who understand this are already building differently.
The CNBC story about stranded startups got the diagnosis wrong. Timing did not kill those companies. The wrong business model did. And most founders reading that story today are making the identical bet.
AI
Microsoft ended its Claude Code partnership at Build 2026. This is not a betrayal story. It is the structural logic of AI platform dependency, and every founder building on someone else's AI should understand what it actually means.
The bottleneck moved. The calendar hasn't.
Altman and Amodei walked back their AI-jobs-apocalypse predictions the same week they filed for IPOs. The reversal is a masterclass in platform company narrative management. Here is what founders building on their infrastructure should actually do with it.
AI
Saying your product is 'AI-powered' in 2026 is like saying it runs on electricity. It is a prerequisite, not a pitch.
AI
The models are commoditizing. The moat was always in your data. Most AI strategies have not figured that out yet.
AI
The AI agent demos are excellent. The production reliability numbers are not. That gap is the whole story.
AI
Models can now hold your entire codebase in one shot. The hard part was never storage.
AI
Every SaaS company has an AI features page now. Nobody's buying because of it.
AI
The copilot metaphor made sense for a minute. Now it is a branding workaround for products that cannot commit to what they actually do.
AI
Twelve AI labs. $29B raised. $130B valuation. Zero products. History says this ends badly for the labs and really well for the builders on top of them.