The Ezra Klein Show
The Ezra Klein Show

Tyler Cowen on the Great Stagnation’s End

Tyler Cowen is an economist at George Mason University, the co-founder of the blog Marginal Revolution, and host of the podcast “Conversations With Tyler.” But more than that, he’s a genuine polymath who reads about everything, goes everywhere and talks to everyone. I’ve known him for years, and whi

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Episode Summary

Executive Summary: Ezra Klein and Tyler Cowen discuss why economic growth remains a moral imperative, how stagnation may be ending, and which technologies could shape the next decades. Cowen argues that innovation, talent, and faster scientific funding are key to prosperity, while warning that climate, inequality, war, and institutional decay could derail progress. He also emphasizes embodied learning, travel, and broad-minded curiosity as ways to understand a rapidly changing world.

Main Topics: Economic growth as a moral imperative (Priority: 5/5): Cowen argues growth is the best route to reducing poverty, improving health care, expanding rights, and funding solutions to climate and other problems. He sees GDP as imperfect but still highly correlated with many forms of well-being. The end of the Great Stagnation (Priority: 5/5): Cowen revisits his thesis that U.S. productivity slowed after 1973, but says the period of stagnation may now be ending, especially in biomedicine, computing, and the broader internet-enabled innovation ecosystem. Time, compounding, and long-termism (Priority: 5/5): Cowen defends near-zero moral discounting of the future and argues that compounding makes small growth differences enormous over time, which raises the stakes for innovation and existential risk prevention. Technology forecasts: AI, crypto, energy, and biomedicine (Priority: 4/5): The conversation covers Cowen’s cautiously optimistic views on AI, geothermal power, fourth-generation nuclear, virtual reality, crypto, and especially biomedical advances like mRNA vaccines and CRISPR. Government speed, science funding, and bureaucracy (Priority: 5/5): Cowen criticizes NIH, NSF, CDC, and broader government procedures as too slow and risk-averse, arguing that science funding should be more agile and less exposed to punitive scrutiny after failures. Inequality, family stability, and social policy (Priority: 4/5): The discussion explores global and domestic inequality, the role of cash transfers vs. in-kind aid, skepticism toward some pre-K claims, and the importance of family stability and dual-parent households. Polarization, weirdness, and embodied learning (Priority: 3/5): Cowen and Klein debate whether American politics is best described as polarized or simply more weird and volatile. Cowen closes with advice to learn through travel, concerts, friendships, and cracking cultural codes.

Key Arguments: Growth is the best lever for solving poverty, health, and even climate problems because innovation drives the technologies that make progress possible. GDP is an imperfect measure, but it correlates strongly with many indicators of human well-being and can’t be dismissed as meaningless. Time should not be morally discounted for major harms like toxic waste or existential risk; future lives matter nearly as much as present ones. Small differences in annual growth compound massively over decades, making innovation policy extremely high leverage. Science funding is too bureaucratic and slow; more dynamic, fast-response institutions would improve pandemic and general research performance. The biggest inequality issue is global inequality, and wealthy countries can help by generating and spreading innovation and institutions. The main bottleneck in growth may be talent identification and mobilization, not capital. AI is likely to be disruptive but ultimately beneficial by eliminating repetitive and frustrating work. Crypto has moved beyond mere hype because it continues to attract serious talent and may reshape finance, even if parts become centralized. The greatest long-run dangers remain nuclear war, weak states, and institutional collapse, not just technological dystopias. American political conflict is increasingly driven by weirdness, media incentives, and institutional polarization, especially in academia and elite institutions. Embodied experience—travel, live music, diverse friendships—teaches more than abstract reading alone.

Data Points: U.S. productivity slowdown: since 1973 - Cowen cites the core thesis of The Great Stagnation. Current shift in innovation: biomedical advances, computing, AI, crypto, green energy - Examples Cowen cites as signs the stagnation may be ending. GDP-growth and other measures correlation: >0.9 - Cowen references a Stanford paper showing national well-being indexes correlate strongly with GDP. Generalized future discount rate: basically zero - Cowen’s moral argument about valuing future harms and benefits. U.S. growth example: 1 percentage point less annual growth from 1890 to 1980 would mean Mexico-level living standards in 1980 - Used to illustrate compounding effects of growth. Long-term growth effect: 0.2 percentage point over 20 years or 100 years becomes very large - Cowen emphasizes even marginal changes compound substantially. NIH fast funding delay: 4 to 5 months - Cowen says accelerated funding can still take months during emergencies. Median COVID response example: Delta variant grows very fast - Illustrates compounding and the need for early intervention. Estimated civilization horizon: 700 or 800 years - Cowen’s rough estimate before major destruction becomes likely. Mexico travel frequency: 31 trips - Cowen uses Mexico as an example of an underappreciated travel destination.

Pivotal Quotes: "I think the correct discount rate for that kind of decision is basically zero." — Tyler Cowen: On how future harms, like toxic waste or existential risks, should be morally valued. "Once one starts to think about exponential growth, it is hard to think about anything else." — Robert Lucas (quoted by Ezra/tying to Cowen's argument): On the power of compounding in economic growth. "I think we've seen during the pandemic that a lot of our science funding is good at long-run tasks, but quite sclerotic and slow to respond." — Tyler Cowen: On why science agencies need reform and faster response capacity.

Implications: Listeners should expect faster technological change, bigger policy stakes around science and innovation, and more volatility in politics and markets. Cowen’s core message: invest in talent, speed, and institutions—or fall behind.

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