AI Debt Surge Pushes US Treasury Yields Higher
US Treasury bonds are facing growing pressure as major technology companies borrow heavily to fund artificial intelligence infrastructure. The 30-year Treasury yield reportedly reached 5.48%, its highest level in two decades, while the 10-year yield exceeded 5.2%, the highest since the financial crisis.
The five largest hyperscale cloud companies had issued nearly $230 billion in debt by August, more than twice their total for the previous year. Much of this borrowing is concentrated in 20-, 30- and 40-year maturities. Meta issued $30 billion in 40-year bonds and later added $25 billion, while Amazon raised $54 billion in a single transaction. Alphabet also issued a century bond, and Oracle continued borrowing despite weak free cash flow and a rating only modestly above junk status.
This AI debt boom is creating a reverse crowding-out effect. Technology companies are competing with the US Treasury for limited long-term capital, forcing government bond yields higher. Nomura estimates that major technology companies have absorbed about $200 billion of long-term funds, equal to roughly one-quarter of the Treasury’s annual medium- and long-term issuance.
The fiscal impact could worsen if AI boosts profits and productivity but reduces wage income, payroll-tax receipts and the government’s tax base. At the same time, tax incentives for capital investment have reduced corporate tax payments, while the federal deficit has approached $2 trillion for the fiscal year and total US debt has exceeded $40 trillion.
For traders, the combination of rising long-term yields, heavy corporate issuance and widening fiscal deficits points to tighter liquidity and greater volatility across risk assets, including cryptocurrencies.
Bearish
The expected market impact is bearish because the article describes a structural rise in long-term US Treasury yields, heavy technology-sector borrowing and worsening fiscal pressure. These forces can raise the risk-free rate, increase corporate financing costs and reduce the amount of capital available for speculative assets.
In the short term, higher Treasury yields and stronger demand for dollar-denominated safe assets could encourage traders to reduce exposure to Bitcoin, altcoins and other high-beta assets. Tighter liquidity often increases correlation across risk markets and can trigger leveraged-position unwinds, particularly when bond yields rise rapidly. The effect would be more negative for smaller cryptocurrencies and projects that depend heavily on external funding.
Over the longer term, AI investment could support productivity, corporate earnings and technology adoption. That could eventually improve risk appetite and benefit crypto infrastructure, decentralised computing and AI-related tokens. However, the article argues that AI may also reduce wage income, weaken payroll-tax receipts and expand government spending, leaving persistent deficits and elevated borrowing costs. If fiscal concerns continue to push yields higher, the result would likely remain restrictive for crypto valuations.
Similar episodes, including the 2022 global bond sell-off and the 2023 US Treasury-yield surge, were associated with tighter financial conditions and pressure on speculative assets. Traders should monitor the 10-year and 30-year Treasury yields, real yields, the US dollar, credit spreads, stablecoin liquidity and ETF flows. A sustained decline in yields or renewed central-bank easing would weaken this bearish view, while further yield spikes and widening credit spreads would reinforce it.