EPISODE · Sep 12, 2026 · 14 MIN
When Compute Compounds and Paychecks Don't: AI and the Capital-Labor Gap
from AI and the Human Future · host Daniel Altman and Emily Carter
A new Econometrica paper bluntly concludes that wealth taxes 'lose the comparison' to a well-designed capital gains tax — just as AI threatens to hand capital an even bigger edge over labor. Daniel and Emily trace Piketty's r > g into the age of compounding compute, ask what it means for a middle class whose main asset is its skills, and try to separate realistic ownership moves from cope. ## Hosts ### Daniel Altman Daniel Altman is a computer scientist and AI strategist with a background in engineering, quantitative research, and emerging technologies. He studies how technological breakthroughs reshape industries, markets, work, and human capabilities. ### Emily Carter Emily Carter is a business strategist and former technology product leader with experience building digital products and studying how innovation reaches millions of users. She focuses on AI adoption, business transformation, work, education, entrepreneurship, and leadership. ## Sources - https://marginalrevolution.com/marginalrevolution/2026/09/capital-gains-vs-wealth-taxes.html?utm_source=rss&utm_medium=rss&utm_campaign=capital-gains-vs-wealth-taxes ## Episode Information Language: en Published: 2026-09-12T14:26:23.894713+00:00
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When Compute Compounds and Paychecks Don't: AI and the Capital-Labor Gap
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