Fading Demand Squeezes Hyperscaler AI Debt Boom
A surge in bond issuance to fund artificial intelligence infrastructure is meeting sharp investor resistance, driving up borrowing costs and threatening the capital flows underpinning US economic growth.
Since the start of 2025, Alphabet, Meta, Amazon and Oracle have issued more than $300 billion in bonds to fund artificial intelligence infrastructure. Nvidia sold $25 billion in debt last month, its first bond sale in five years, while SpaceX added another $25 billion shortly after its record $86 billion initial public offering. This massive supply is now colliding with a shrinking pool of willing buyers.
Investor appetite for this debt is deteriorating rapidly. Amazon recently had to offer 18 to 21 basis points of extra yield on its longest-dated maturities in a $25 billion sale, drawing orders of just 2.5 times the bonds on offer compared to 3.2 times in March. “Investors are pushing back,” Bank of America wrote in a note, warning the deal “should also inject even more uncertainty into the hyperscaler/AI supply outlook.”
The shift is evident in cover ratios. Hyperscaler orders per dollar of bonds dropped from nearly 5 times in February 2026 to below 2 times in July, while the broader investment-grade market saw its ratio slip by only about half a point. Apollo Global chief economist Torsten Slok warned this collapse in demand is “suggesting investors may need wider spreads to absorb additional hyperscaler supply.” “The current hyperscaler widening is a byproduct of the high-grade investor community trying to rationally price in an accelerating pace of issuance,” JPMorgan strategists wrote on Tuesday.
The dollar bond market has become so saturated that tech giants are increasingly issuing debt in other currencies to secure favorable terms. In the secondary market, the stress is already visible. SpaceX’s debt has sold off to trade at yields comparable to junk bonds, while its stock has fallen 45 percent from its peak and dropped below its $135 IPO price.
This corporate debt wave must also compete with soaring US government borrowing as the federal deficit heads toward $2 trillion this fiscal year. JPMorgan estimates the top five hyperscalers alone will generate $375 billion in debt proceeds between 2026 and 2030, up from $175 billion in 2026.
The funding squeeze coincides with a sudden reassessment of AI revenue prospects. Chip stocks led a broad market selloff after Chinese startup Moonshot released its Kimi K3 model, claiming performance surpassing US rivals from OpenAI and Anthropic at a lower cost. If cheaper models gain traction, US tech giants may generate less revenue and cut capital expenditures.
A sustained pullback in AI spending poses a direct threat to the broader economy. AI-related investment accounted for more than half of real US GDP growth in recent quarters, and Citi Research warned on Friday that a decline could trigger a mild recession. “A significant decline in equity prices would push the savings rate higher and spending lower, further contributing to a slowdown in economic growth,” Citi noted.
