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Treasury Sell-Off Accelerates as AI Boom and Washington Compete for Capital

Thirty-year Treasury yields have climbed to their highest levels in two decades as investors dump U.S. Treasuries, driven by inflation, fiscal deficits, and a surge in AI-related corporate debt, according to Apollo Global chief economist Torsten Slok and Morgan Stanley figures cited by Benzinga. High-grade AI debt supply hit $270 billion by early July, more than double all of 2025's total, and Goldman Sachs projects hyperscalers will spend $5.8 trillion on AI infrastructure through 2030, pressuring credit markets and long-term yields. The sell-off threatens to raise borrowing costs for American consumers, with the bond market's capacity to absorb new issuance shrinking from $75 billion to $25 billion.

read2 min views1 publishedAug 3, 2026
Treasury Sell-Off Accelerates as AI Boom and Washington Compete for Capital
Image: Dissenter (auto-discovered)

Foreign and domestic investors are dumping U.S. Treasuries at a pace that threatens to make every mortgage, car loan, and credit card balance more expensive for working Americans — and the sell-off may be just getting started.

Thirty-year Treasury yields have climbed to their highest levels in two decades, driven by three forces that all converge on the same victim: the American paycheck. Apollo Global chief economist Torsten Slok identified the culprits in a recent note as inflation, fiscal deficits, and what Palumbo Wealth Management dubbed the "AI Debt Tsunami" — a flood of corporate debt from tech giants racing to build artificial intelligence infrastructure.

Here is the problem in plain terms. Washington has been running trillion-dollar deficits under both parties for years, flooding the bond market with Treasuries that somebody has to buy. Now Big Tech is crowding into the same market with its own massive borrowing. High-grade AI debt supply hit $270 billion by early July, according to Morgan Stanley figures cited by Benzinga — more than double all of 2025's total. Goldman Sachs projects hyperscalers will spend a combined $5.8 trillion on AI infrastructure through 2030, and that borrowing will keep pressuring credit markets and long-term Treasury yields for years.

The hidden leverage makes it worse. Off-balance-sheet debt, including sale-leaseback structures on data centers, has swelled to $1.65 trillion, according to Nikkei Asia. Hyperscaler leverage ratios doubled from 0.9x to 1.8x in roughly six months, per Goldman. The bond market's pain threshold — the amount of new issuance it can absorb without rates spiking — has shrunk from $75 billion to just $25 billion.

Seeking Alpha framed the story around the Treasury sell-off itself, warning it has further to run. Benzinga led with the AI debt angle, spotlighting Amazon and Alphabet as the drivers. Both are describing the same squeeze: too much debt chasing too few willing buyers.

Goldman singled out Microsoft and Alphabet for retaining what it called "fortress" balance sheets and strong free cash flow. Credit-default-swap spreads on other major tech issuers have widened sharply, however, as investors question whether AI investments will generate returns fast enough to service the debt.

The bipartisan spending binge in Washington created this vulnerability. Now the AI arms race is exploiting it. When the world dumps your debt, the bill lands on main street — through higher borrowing costs, inflated prices, and a dollar that buys less. The only question left is whether anyone in Washington or Silicon Valley is forced to reckon with the cost before the system forces a reckoning of its own.

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