Tyler Cowen on Harvard, the GOAT Economist, and Ending Stagnation

2 Feb 2024 · 58 min
57:40

In this Upstream podcast episode, host Erik Torenberg interviews economist Tyler Cowen about his new book The Greatest Economist of All Time and a wide range of topics that intersect economics, technology, and culture. Cowen explains how the book surveys six canonical economists—Milton Friedman, John Maynard Keynes, Friedrich Hayek, John Stuart Mill, Thomas Malthus, and Adam Smith—while noting honorable mentions such as Samuelson, Arrow, Schumpeter, Marshall, and Becker. He discusses the limited predictive power of macroeconomics, using Argentina’s President Javier Milei as a case study, and argues that macro knowledge is useful for evaluating policymakers but not for forecasting. Cowen outlines his philosophy of “non‑legibility” behind the Emergent Ventures grant program, emphasizing support for passionate, unconventional projects that are hard to evaluate through traditional bureaucratic criteria. He offers a bleak yet nuanced view of Harvard’s future, predicting only marginal centrist shifts and continued administrative dysfunction, while asserting that elite universities will remain academically strong despite cultural and political pressures. The conversation moves to AI and existential risk, where Cowen likens open‑source AI to nuclear technology, stresses the need for intelligent oversight, and warns about cheap nuclear weapons. He then tackles demographic decline, proposing large child‑rearing subsidies and noting cultural status incentives as the primary bottleneck to higher fertility. Cowen’s stance on US political realignment in economics and academia is that the field has become increasingly left‑leaning, with few right‑leaning scholars remaining. He critiques Rawls’s veil of ignorance as a personal recipe rather than a derivation, and shares his personal productivity mantra of “compounding returns in learning,” his modest view of legacy, and his approach to allocating time between depth and breadth. Throughout, Cowen balances optimism about AI‑driven productivity with caution about societal and institutional inertia.

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