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<rss version="2.0"><channel><title>Shane Legg · AI Fault Line</title><link>https://aifaultline.com/authors/shane-legg/</link><description>New papers by Shane Legg in the AI Fault Line guide, and news naming them.</description>
<item><title>Paper: The Economics of Intelligence: How and when does AGI transform the economy?</title><link>https://aifaultline.com/research/p/title-ca02022cd2e65350/</link><guid>https://aifaultline.com/research/p/title-ca02022cd2e65350/</guid><pubDate>Thu, 29 Oct 2026 00:00:00 +0000</pubDate><description>A DeepMind Institute essay arguing that AI&#x27;s economic impact depends on two separate capability thresholds: individual competence, which shifts wages and prices gradually, and agent coordination, which past a tipping point could abruptly concentrate markets and cut wages. It sketches four regimes (minimal AGI, supercompetent, supercooperative, superintelligence) and argues that wages and job roles, not GDP or employment totals, will move first.</description></item>
<item><title>Paper: Organizing Intelligence</title><link>https://aifaultline.com/research/p/title-1c3b2763dde06c65/</link><guid>https://aifaultline.com/research/p/title-1c3b2763dde06c65/</guid><pubDate>Thu, 29 Oct 2026 00:00:00 +0000</pubDate><description>A theoretical model of how humans and AI agents sort into competing firms, separating competence (which raises productivity levels) from coordination (which sets how productivity scales with firm size). It finds that teams of complementary humans can beat more capable AI, that better AI competence can shrink firms, and that better AI coordination can trigger a sudden shift to large AI-heavy firms, with wage effects split into a technology effect and a reorganization effect that can reverse it.</description></item>
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