The Sequence Opinion - Issue 926: AI Moats in the Age of Scaling Laws
Capital, compute, process, distribution, and the search for durable Power
TL;DR
- AI labs invest billions in developing leading models, but these capabilities become reproducible within months.
- Open models and distillation techniques offer similar performance at lower costs.
- The economic value of being the first to achieve AI intelligence is questioned due to its reproducibility.
- Hamilton Helmer's Seven Powers framework distinguishes a good product from a durable business, requiring both benefit and a barrier.
- AI's progress is predictable with increased compute, data, and engineering, making capital important but not necessarily a sustainable moat.
- Capital can be easily confused with a moat in the AI industry.