AI Series: Can AI Fix the Deficit?
The discussion weighs whether AI-driven productivity and growth could ease the U.S. fiscal outlook against rising deficits, interest costs, and sensitivity to Treasury yields. The guest’s scenarios suggest that stronger growth could narrow primary deficits, but the estimates remain uncertain and exclude recessions, AI-related market losses, and policy changes. Speakers also discuss immigration, labor-force participation, longevity, and possible revenue measures as factors affecting growth and entitlement costs.
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Read the Full SummaryKey Takeaways
The long-term fiscal outlook combines a structural gap of 2% of GDP before interest with interest spending projected at another 7%, while the deficit-to-GDP ratio is projected to rise from 6% to 9% over the next decade. The speaker presents the U.S. debt-to-wealth ratio of about 22% as more favorable than Japan’s, but says that comparison does not resolve the fiscal concern.
Interest rates are a central fiscal risk: the guest says that with debt at about 100% of GDP, even small rate changes matter, and models a 35% rise in Treasury yields across the curve, taking the 10-year yield from about 4.5% to roughly 6%. The guest also points to weakening Treasury demand and a rising term premium, warning that a 7% 10-year yield would be catastrophic; the reasons for the term-premium increase remain uncertain.
The CBO assumes about 1% average long-term productivity growth, while the speaker sees a 1990s-like outcome as increasingly plausible and cites productivity growth of 3% then versus 2% today. In the guest’s illustrative scenario, 3% productivity growth plus labor-force growth and inflation implies roughly 5.5% nominal growth; if nominal growth matches the late 1990s and other factors hold, primary deficits could approach zero in six or seven years, though the guest says a recession or AI-related market bust could reduce the improvement.
The guest estimates AI-related defense spending could add about $700 billion over ten years, while emphasizing that this is a “wild guess.” Separately, the speaker cites a bank note saying additional AI investment is crowding out public-sector investment and could change financing dynamics, with AI investors potentially paying what is required and Treasuries receiving the residual.
Yale Budget Lab research suggests labor-market churn since ChatGPT arrived has been slightly faster than during the PC and Internet expansions, but broadly similar. The speaker argues that the main risk would be labor-replacing productivity arriving faster than workers can adapt, though they do not expect that; Amazon’s roughly 25-year evolution is cited as an example of technology adoption unfolding gradually and giving workers time to adjust.
GEO-POLITICS
“So when you go ahead and you speak with defense experts, it really feels like we're on the cusp of a lot of extra spending…”—
TECHNOLOGY
“You can look at work, for example, out of the Yale budget lab where they look at labor market churn, and it looks like it's happening slightly faster than that…”—
ECONOMY
“I think that CBO's projections for the next three decades, we get out to the mid twenty fifties, they're seeing a 2% gap between non interest spending and revenues, but…”—
“And if you think about sort of national wealth, almost like a household, you know, do we have the resources to pay for the commitments we've made?…”—
“I look at the deficit to GDP, and right now that six percent, you're saying if you look at the CBO projections out over the ten year horizon, we get…”—
MARKETS
“I am quite worried about our fiscal outlook…”—
FORECASTS
“We looked at Goldman projections. We looked at McKinsey projections on Duran Osamoglu's projections…”—

AI And Federal Deficits
Mark Sandy introduces Brookings economist Ben Harris for an AI-series discussion of how artificial-intelligence-driven growth could affect the federal fiscal outlook.
Think Tanks And AI
Harris describes changing pressures on think tanks and explains that he uses AI as a research and writing aid, while emphasizing that human judgment and writing skills remain essential.
U.S. Fiscal Risks
Harris sees a large structural budget gap and rising Treasury yields as reasons for concern, even though the United States has substantial national wealth and potential tax capacity.
Treasury Yields And AI
Harris says long-term fiscal projections depend heavily on Treasury demand and interest rates, while AI investment may compete for capital and CBO projections assume little productivity acceleration.
AI Productivity Timeline
Harris expects AI’s economic effects to unfold more gradually than some forecasts suggest, comparing the transition with earlier technologies and the long evolution of Amazon.
Growth And Primary Deficits
Harris estimates that late-1990s-style growth could bring primary deficits close to zero, but cautions that AI-specific effects could offset about half of the fiscal improvement.
AI’s Fiscal Headwinds
Harris models five countervailing forces: longer lifespans, lower labor-force participation, income shifting toward capital, increased benefit claims, and higher defense spending.
Interest Costs Temper Growth
Higher Treasury yields are the most consequential modeled fiscal headwind, and Harris says the combined assumptions reduce the projected deficit improvement from roughly four points of GDP to about two.
Deficit Outlook And Uncertainty
Harris expects AI to help but not resolve the fiscal problem, noting that the model excludes recessions and possible AI-related market losses and that trust-fund policy assumptions may not hold.
Immigration And Labor Supply
Harris says immigration assumptions materially affect growth, while the hosts argue that a more rational immigration policy could expand the workforce, support innovation, and increase demand.
Tax And Spending Options
Harris identifies higher corporate and capital-tax revenue, a higher retirement age, and stronger tax compliance as ways to move toward zero primary deficits.
Immigration And Policy Wrap
The group revisits the potential for bipartisan immigration reform, discusses the limits of the fiscal model’s policy assumptions, and closes the interview.
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