36:57

In this Marginal Revolution podcast episode, Alex Tabarrok and Tyler Cowen examine the United States’ federal debt situation. They begin by noting that the publicly held debt is about $30 trillion, roughly equal to GDP, implying a debt‑to‑GDP ratio of 100 % and an annual interest bill of about $1 trillion – a cost comparable to defense or Medicare spending. They then add the off‑budget liabilities of Social Security ($34 trillion) and Medicare ($62 trillion), which together double the fiscal burden, raising the total fiscal obligation to roughly $100 trillion. The hosts discuss why Treasury yields remain surprisingly low despite the massive debt, referencing Hanno Lustig’s work on the “debt‑as‑asset” puzzle: the government’s debt pays off in good times when marginal utility of money is low, making it a poor hedge and thus demanding lower yields. They revisit the classic R vs G debate, distinguishing between the return on safe bonds (R) and real GDP growth (G). While some economists argue R < G would make the debt sustainable, Cowen and Tabarrok view the debate as a side‑show, emphasizing instead the political‑economy constraints on fiscal adjustment. They outline five policy levers to stop debt growth: (1) higher growth, (2) default, (3) inflation, (4) spending cuts, and (5) tax increases. Inflation is deemed a less attractive tool now because higher deficits mean that inflation reduces the real value of debt (stock) but raises borrowing costs (flow) via the Fisher effect. Financial repression—forcing investors into Treasury bills—could also help but is politically painful. Tax options include capital‑gains indexation, wealth taxes, and broader tax hikes, though the hosts note the political reluctance to raise taxes, even under Trump, and the limited consensus on how to fund debt reduction. AI’s potential impact is explored. While AI could boost productivity, the hosts argue that much of the gain may be welfare‑type (leisure, health) rather than wealth‑type (taxable income). Longer life expectancy could increase fiscal burdens through higher healthcare spending, and AI‑driven gains may accrue to assets (land, data centers) that are hard to tax. They also discuss the risk that AI‑driven growth may not translate into higher tax revenues. A comparative lens is applied to Japan, whose public pension fund functions like a sovereign wealth fund, allowing it to sustain high debt levels. The hosts warn that U.S. and Japanese asset markets are increasingly correlated, raising systemic risk. They also touch on the broader trend of rising asset correlation (equities, bonds, crypto) and the potential for correlated crises. The conversation concludes with a cautious optimism: while the median scenario suggests the U.S. can manage its debt, tail‑risk events (major wars, severe AI setbacks, or a sudden loss of confidence) could be dangerous. UBI is dismissed as politically infeasible, and the hosts agree that the debt itself is not the immediate crisis, but the political and economic pathways to address it remain uncertain.

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