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AI companies compete with the US Treasury for capital, driving up interest rates the government can't afford. Simultaneously, AI aims to eliminate white-collar jobs that form the core of the federal tax base. This creates a "snake-eating-its-own-tail" dynamic that pushes the US closer to a fiscal crisis.
While there's a popular narrative about a US manufacturing resurgence, the massive capital spending on AI contradicts it. By consuming a huge portion of available capital and accounting for half of GDP growth, the AI boom drives up the cost of capital for all non-AI sectors, making it harder for manufacturing and other startups to get funded.
Hoping AI will grow the economy out of its debt burden is flawed. The massive investment required to boost GDP growth (G) competes for capital, inadvertently raising interest rates (R). In the short term, this can increase the debt service cost (the R-G spread), potentially worsening the debt spiral before any productivity gains are realized.
As companies replace human workers with AI 'robots,' they eliminate a crucial source of government funding: payroll taxes. This trend threatens the solvency of programs like Social Security, which rely on a large base of human workers to support a growing retiree population.
Contrary to the idea that AI justifies rate cuts, the boom is likely increasing the neutral rate of interest (R-star). By stimulating corporate investment and household consumption, AI creates upward pressure on rates, which limits the Federal Reserve's ability to ease monetary policy.
The AI industry and the US government both require trillions in funding. This creates a paradox: the more successful AI becomes, the more it erodes the white-collar tax base by automating jobs, forcing the Treasury to borrow even more and intensifying the competition for scarce capital.
The ability of Western governments to manage their enormous public debt levels is now implicitly dependent on the hope that AI will generate a massive, sustained productivity boom. If AI fails to deliver this unprecedented growth, a widespread fiscal crisis becomes a serious risk.
The U.S. faces a massive debt problem with only two politically tenable exits: massive economic growth fueled by AI, or devaluing the debt through inflation. With the AI boom proving slower than hoped, the government is being forced down the path of inflation, using covert methods to avoid public backlash against austerity or default.
The Federal Reserve’s traditional economic lever—lowering interest rates to spur hiring—is becoming obsolete. In the AI era, companies will use cheaper capital to invest in productivity-boosting AI agents and robots rather than increasing human headcount. This fundamentally breaks the long-standing link between monetary policy and employment.
The political hope is that AI-driven productivity will solve the national debt. The overlooked danger is that AI's first casualties will be highly-paid, indebted professionals (bankers, lawyers), whose mass defaults could crash the financial system before any 'age of abundance' arrives.
The biggest risk to capital-intensive AI ventures isn't a lack of demand but losing access to cheap financing. The current boom is built on borrowing long-dated money at low rates (e.g., 6%). A shift to a higher yield environment (8-10%) would make funding massive, negative cash-flow projects untenable.