Generative AI Economies of Scale Questioned
GaryMarcus · x · 2026-07-17
This post critiques an article from The Atlantic, arguing that generative AI might have terrible scalability, with few comparable counterexamples in software and broader engineering economics. The core argument emphasizes that if a technology continuously becomes "more expensive and difficult" as it scales, it defies the economies of scale logic. The author questions whether generative AI can genuinely deliver stable economic efficiency gains like other mature technologies.
Related event: Debate Flares Over The Atlantic’s Critique of Generative AI(6 posts)→
More from AGI Musings
- LukeW: Technology Limits Are Temporary — and AI Skeptics Are Already Feeling It — LukeW · 2026-10-27
- GiveDirectly pilots an optional AI chatbot alongside cash aid in Rwanda — NathanpmYoung · 2026-10-27
- Ex-Anthropic employee essay: the org optimizes for power 'constrained by being seen as the good guys' — RichardMCNgo · 2026-10-27
- Investor: model version numbers are a mirage, only datacenter margins are real — StewartalsopIII · 2026-10-27
- WSJ Op-Ed: For Anthropic Share Offering Investors, a 10% Extinction Chance May Be a 90% Portfolio Win — davidmanheim · 2026-10-27
- WSJ: for Anthropic investors, a 10% extinction chance may still be a 90% portfolio win — peterwildeford · 2026-10-27