Why AI Is Unlikely to Fix the US Sovereign Debt Burden

Hopes in Washington that artificial intelligence will help the United States grow out of its sovereign debt burden face significant mathematical and fiscal obstacles, according to an analysis by Eduardo Porter for The Guardian reported by The Next Web (https://thenextweb.com/news/ai-growth-us-debt-guardian-porter-analysis).

Treasury Secretary Scott Bessent has pointed to AI adoption to help achieve 3% annual economic growth, a sustained pace the US has seldom reached this century. However, projections from the Committee for a Responsible Federal Budget show that cutting the federal deficit to 3% of GDP by 2036 would require 4.4% annual growth, while balancing the budget entirely would require 7.2%.

Those required figures contrast with official growth estimates. The Congressional Budget Office estimates that AI will add roughly 0.1 percentage points per year to economic expansion.

Tax policy also dampens any potential windfall. As Porter noted, AI adoption tends to shift income from labor wages to capital owners. Because the US taxes capital at roughly half the rate of labor, the federal government would collect less revenue from AI-driven expansion than from traditional wage growth.

Meanwhile, the AI infrastructure buildup is actively competing with sovereign debt issuance for capital. Tech companies are borrowing heavily to finance data centers just as US public debt exceeds 100% of GDP. Economists Jared Bernstein and Ryan Cummings estimate that major cloud providers need between $13.1 trillion and $18.7 trillion in incremental revenue over a decade to justify their spending, creating additional capital market pressure if those returns fall short.