AI productivity might be a viable solution to America’s $39 trillion national debt crisis, according to a Yale Budget Lab report. However, it also warned that achieving this would require specific action from the government.
Government Worker Aid May Offset Gains
The study, released on Wednesday, suggested that moderate AI adoption could lead to an annual labor productivity growth of 2.5% from 2025 to 2030. This could potentially slow and eventually reduce the debt-to-GDP ratio. However, increased federal spending to support displaced workers could undermine these plans.
Two scenarios were considered in the study, one involving spending equivalent to the $42,400 retiree spending and another that matches the $5,500 spent per unemployed worker. In both scenarios, productivity improvements help reduce debt more than they would in a world where AI-driven gains never emerge. However, neither outcome is enough to keep debt from rising beyond current levels.
“It seems unlikely that AI will be some kind of free, infinite money tree,” said Martha Gimbel, executive director and co-founder of the Yale Budget Lab told Fortune. She highlighted that the size of the productivity shock and the spending response are critical factors.
AI-driven productivity gains could help address economic challenges, but the report warned that supporting workers displaced by the technology may create new high costs. Proposals for such support from figures including Sen. Bernie Sanders (I-VT) and OpenAI CEO Sam Altman highlight the need for policymakers to factor worker assistance expenses into discussions about AI’s economic benefits. Hence, the government should cease its support for workers displaced by the technology.
Higher Capital Tax, Interest Rate Could Be Burden
The report warns that even if AI significantly boosts productivity, it may not reduce U.S. debt as much as expected. One reason is that AI-driven automation could shift income from workers to capital owners, and capital is typically taxed at lower rates than labor, potentially shrinking federal tax revenues.
Faster economic growth from AI could also push interest rates higher, increasing government debt-servicing costs and offsetting some fiscal benefits. At the same time, the long-term impact of AI on jobs and productivity remains uncertain.
Elon Musk Touts AI As A Debt Solution
The U.S. national debt has surpassed the size of the entire economy, reaching 100.2% of GDP by the end of March for the first time since World War II, with total debt exceeding $39 trillion. Some estimates suggest that the national debt could hit $40 trillion by the November elections.
Elon Musk, CEO of Tesla Inc. (NASDAQ:TSLA), has previously suggested that technology-fueled growth, particularly in AI and robotics, is the “only way” forward to manage the debt crisis. This latest report from the Yale Budget Lab seems to echo Musk’s sentiments, albeit with some caveats. Meanwhile, President Donald Trump had aimed to reduce the mounting debt with the tariff revenue and massive investments from trading partners.
JP Morgan (NYSE:JPM) CEO Jamie Dimon warned that the debt problem cannot be ignored indefinitely, though he did not predict when it might peak. He cautioned that rising debt could trigger market volatility, higher interest rates, and reduced demand for U.S. Treasuries.
Dimon urged policymakers to address the issue, pointing to the unimplemented Obama-era Simpson-Bowles deficit reduction plan as a missed opportunity that could have helped resolve fiscal challenges.
Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
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