DeepMind's Economics of Intelligence: AI reshapes economy via agent coordination, not solo model smarts
Scobleizer · x · 2026-10-31
Google DeepMind researchers Alex Olegimas, Andrew Koh, and Shane Legg released The Economics of Intelligence, the first output of a new research program on the economics of AGI.
Key claims: AI is already changing the economy—through leaner startups, flatter org charts, and slower entry-level hiring—not through mass job losses. Models match experts on many solo tasks, yet jobs and productivity numbers barely move, because benchmarks test one model while firms compete as teams.
The paper builds an economic model tracking two abilities separately: single-task competence and inter-agent coordination. Competence raises wages gradually, but coordination past a tipping point lets a few large AI firms suddenly take over big standardized markets. It also defines economic thresholds like "minimal AGI" and tracks how market structure, employment, and wages shift across capability regimes.
Related event: DeepMind Launches Institute with Debut AGI Economics and Work-Value Essays(17 posts)→
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