The AI Shakeout
What 25,000 Companies Tell Us About Who Survives
The Pattern Nobody Talks About
There are roughly 25,000 AI companies in the world right now. In ten years, there will be maybe 50 that matter.
This isn't pessimism. It's the math. Every technology market in history follows the same consolidation curve — from thousands of hopeful entrants to a handful of survivors.
The Graveyard
Out of every 100 AI companies founded today, history says 95 will fail. Not because they're bad — because they're building on rented land.
The companies that die won't die because their models aren't good enough. They'll die because they don't own anything underneath.
Follow The Money
OpenAI raised $13B to build AI. NVIDIA made $60B+ in profit selling them the tools. The model builders get the headlines. The supply chain gets the money.
Build the model, charge subscriptions. But they rent everything underneath.
Rent out GPU clusters. Take a margin on every training run.
Design GPUs and CUDA ecosystem. Massive moat through developer lock-in.
Only company that can fabricate at cutting edge. Single point of failure.
Power the data centers. Increasingly the bottleneck as AI scales.
The Moat Test
Five things determine whether an AI company survives: data ownership, compute control, distribution, feedback loops, and irreplaceable talent. Compare the major players.
The Intimacy Thesis
There's a moat nobody talks about: intimacy. You've already split your AI brain into compartments — and the company that holds your deepest layer has the strongest lock-in.
The 2 AM confessional. Unfiltered thoughts. The real moat.
“The AI that knows your work can be replaced. The AI that knows your secrets can't.”
What Companies Get Wrong vs. What Works
Go Deeper
This editorial is the overview. Each thesis has a full analysis behind it.
Positions reflect one analyst's framework.
Not investment advice.