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commoditization
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Demis Hassabis on 20VC: AGI Timeline, LLM Non-Commoditization, and the Algorithmic Innovation Thesis
Hassabis argues frontier models won't commoditize because algorithmic innovation, not scaling spend, is the new differentiator: only 3-4 labs can still invent. What he conspicuously omits is inference economics; collapsing costs commoditize models at the useful-capability threshold regardless of what happens at the absolute frontier. The real signal is his "jagged intelligence" admission: if foundation models remain inconsistent, the durable moat lives in application-layer reliability engineering, not model access.
No Signs of AI Payoff Outside the Tech Sector
Real revenue per worker and profit margins are rising for the Mag 7 and flat for the S&P 493, and the San Francisco Fed's utilization-adjusted TFP shows no AI lift. Because the Mag 7 build and sell the technology, their results can't test whether buyers gain; the 493 can, and Slok's 'great calculator' framing explains why judgment doesn't get cheaper with tokens. The only series still climbing is token spend at VC-backed companies.