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Large government deficits and rate-insensitive AI spending keep broad growth robust, requiring higher interest rates to maintain macroeconomic balance. However, those elevated levels strain weaker, indebted businesses, echoing 2005 dynamics where the wider economy held up while vulnerable credit segments deteriorated.

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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.

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.

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 projected $7-9 trillion in AI infrastructure spending over the next four years is so immense that its largely debt-financed nature could create enough demand for capital to impact general interest rates, a significant and often overlooked macroeconomic consequence of the AI boom.

Among the five factors eroding AI's positive fiscal impact, a projected 35% rise in interest rates is mathematically the most significant. With US debt already at 100% of GDP, even small changes in borrowing costs have an enormous effect on the deficit, overwhelming other factors like defense spending or labor force changes.

Beyond government deficits, the massive capital investment required for the AI revolution is a significant driver of demand for money. This multi-trillion dollar build-out for data centers and technology competes with all other borrowing needs, putting fundamental upward pressure on interest rates, the price of capital.

Massive capital expenditure in AI is driving a broad, inflationary expansion across all assets. This pressure is a key reason interest rates must rise significantly to find balance, potentially requiring a 30-year yield in the 6% range and a Fed Funds rate over 5.5%.

AI infrastructure is demanding hundreds of billions in liquidity just as sovereign treasuries run multi-trillion-dollar deficits. Because AI builders are determined to invest regardless of price, this inelastic demand forces debt yields and rates higher. As the tech boom and government debt simultaneously compete for global capital, private credit and corporate borrowing become far more expensive, compounding macroeconomic stress.

The massive infrastructure buildout for AI is creating unprecedented competition for capital. This forces the U.S. Treasury to offer higher interest rates on its bonds to attract investors, directly contributing to the escalating national debt crisis.

Massive, strategically crucial AI capital expenditures by the world's wealthiest companies could create a new risk. These firms may be less sensitive to borrowing costs, potentially issuing debt even into a weakening market, which could drive credit spreads wider for all issuers.