DeepMind: why AI keeps breaking records while the economy barely budges
JMateosGarcia · x · 2026-11-02
Google DeepMind's Alex Imas (Director of AGI Economics), Andrew Koh and Shane Legg (Co-founder & Chief AGI Scientist) published The Economics of Intelligence, with a full formal model in the paper Organizing Intelligence.
- The paradox: frontier models clear milestones every few months (production software, beating domain experts, Millennium Prize problems), yet the broader economy looks unchanged — jobs, headcounts, aggregate productivity.
- Diagnosis: the individual AI agent is the wrong economic object. Benchmarks test agents solving problems in isolation, but economic transformation is an equilibrium outcome where organizations compete; teams outperform any solo worker.
- Framework: define thresholds of economic capability (e.g., minimal AGI) and track how market structure, employment and wages change across capability regimes.
- Conclusion: smarter AI raises productivity, but real transformation hinges on agents learning to coordinate, not just on competence.
Related event: DeepMind paper: collaboration, not capability, is the AGI bottleneck(4 posts)→
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