Source: Fortune.com
Summary
The U.S. national debt has reached $40 trillion, with federal deficits on track to hit $2 trillion this year. Despite this, AI hyperscalers are issuing large amounts of corporate debt, often at high costs, due to expected returns. Treasury Secretary Scott Bessent noted that AI companies are willing to pay high borrowing costs. Corporate bond issuance in the U.S. has surged, with demand for AI-related bonds keeping yield spreads low. Analysts suggest this is causing a “reverse crowding-out” effect, pushing up Treasury yields as capital flows into corporate bonds instead.
Our Reading
The numbers tell one story.
AI companies are issuing debt without concern for cost.
Corporate bond demand is outpacing Treasury demand.
Yields are rising as capital shifts.
The market is adjusting to a new kind of debt-driven pressure.
Author: Evan Null
AI Debt and the New Crowding-Out Effect
The U.S. national debt has reached $40 trillion, with the federal budget deficit expected to hit $2 trillion this fiscal year. This level of debt requires significant capital, which is drawn from the bond market. However, AI hyperscalers are still able to issue large amounts of their own debt to fund infrastructure and chip purchases. Treasury Secretary Scott Bessent noted that AI companies are willing to pay high borrowing costs, believing in the long-term returns of their investments.
Corporate bond issuance in the U.S. has surged, with investment-grade corporate bonds totaling $1.7 trillion through July. This is 27% above the previous year’s pace. Analyst Ed Yardeni pointed out that while this level of issuance would typically require higher yields, demand for AI-related bonds has kept spreads low. Instead, Treasury yields have risen as capital flows into corporate bonds, creating a reverse crowding-out effect.
This trend has caught the attention of Federal Reserve Chairman Kevin Warsh, who noted the massive capital pouring into AI infrastructure. Meanwhile, S&P Global warned that markets are showing signs of fatigue, with hyperscalers paying higher premiums compared to risk-free bonds. The report also highlighted growing concerns about rising leverage from companies that were once seen as having strong cash flow.
Despite the concerns, AI companies continue to issue debt at high rates, driven by the belief in future returns. This has led to a shift in capital flows, with foreign investors purchasing more corporate bonds than Treasuries. The result is a feedback loop where rising debt-servicing costs could further expand deficits and push Treasury yields higher.
The situation reflects a complex interplay between corporate debt, government borrowing, and market dynamics. As AI continues to drive investment, the financial system is adapting to new pressures, with yields and borrowing costs adjusting to accommodate the surge in demand for capital.
