Automation, new tasks, and the labor share
Explore how task-based automation displaces labor, why new tasks stabilize the labor share, and the risks of so-so AI and excessive automation.
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AI economics
Research on how AI changes productivity, work, investment, measurement, distribution, and economic adaptation
Why AI Abundance May Not Translate into Capital Dominance
On June 4, 2026, the Dwarkesh Podcast featured Alex Imas and Phil Trammell examining why more capable AI could produce vastly more output without necessarily capturing a larger share of expenditure.
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Choosing Between Automation and Pro-Worker AI
On July 16, 2026, Daron Acemoglu told Jon Hernandez AI that AI's economic consequences will depend on whether development prioritizes automation or expands workers' capabilities.
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AI impact framework
The aim of this paper is to give researchers and policymakers a common map for connecting partial measures of AI’s economic effects without treating technical capability, adoption, and public benefit as if they were the same thing.
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Transformative AI as a Growth, Labor, and Governance Shock
The January 08, 2026 episode of Alignment of Complex Systems features Anton Korinek's conference keynote outlining how “transformative AI” could move the economy from steady productivity gains toward a faster, feedback-driven growth regime.
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