[@DwarkeshPatel] What remains scarce after AGI? – Alex Imas and Phil Trammell
Link: https://youtu.be/Jj-kBHzUohs
Duration: 76 min
Transcript: Download plain text
Short Summary
Alex Imas (Director of AGI Economics at Google DeepMind and Professor of Economics at the University of Chicago) and Phil Trammell (Head of Economics at Epoch and a research scholar at Stanford) discuss why historical automation predictions have repeatedly failed to materialize—prime-age employment in 2026 is near all-time highs despite centuries of technological change. They introduce the "relational sector" concept where human involvement resists automation (doctors, art, personal services), analyze the O-ring model where automating nine-tenths of a job at lower quality could destroy the product, and explore implications for developing countries, UBI sustainability, and how concentrated frontier AI labs could distribute gains broadly.
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