Can Artificial Intelligence Solve the Global Debt Crisis?

A survey by Chicago Federal Reserve economist Ezra Karger suggests AI could add roughly 0.5 percentage points to annual US GDP growth through 2031. Even if more conservative estimates of 0.1 percentage points prove accurate, the fiscal implications are significant. Higher productivity typically expands the tax base through increased corporate profits and real wages, offering a mechanism to service mounting national debts.

In the United States, where federal debt is projected to hit 120% of GDP by 2036, AI-driven growth could theoretically lower that ratio by several percentage points. However, the outcome depends on how these gains are distributed. If automation displaces labor, the resulting increase in social spending could negate tax revenue gains. Furthermore, the US effective corporate tax rate remains low compared to other advanced economies, meaning much of the AI-generated wealth may bypass public coffers entirely.

Divergent Outcomes in Global Markets

The fiscal impact varies sharply by geography. Britain, with its higher tax rates and smaller deficits, stands to capture a larger share of AI-linked growth. Projections indicate that an annual GDP boost of 0.5 percentage points could lower UK debt to 89% of GDP by 2031, down from an estimated 95%. While AI provides an opportunity for governments to grow their way out of debt, it is no panacea. The ultimate benefit to public finances relies on structural choices: how nations tax corporate profits, protect wage growth, and manage the inevitable shifts in the labor market.