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Artificial intelligence is no longer merely lifting technology shares and corporate investment. The vast borrowing campaign behind data centers, chips and power infrastructure is now competing with Washington for capital, adding pressure to Treasury yields and borrowing costs throughout the economy.
Traditional economics calls this “crowding out,” a process in which excessive government borrowing consumes available capital and forces companies to pay more. Today, analysts are watching a variation of that dynamic as technology giants unleash a record flood of corporate bonds.
Federal spending remains the primary source of pressure because Washington continues running deficits approaching $2 trillion annually. A resilient economy and an inflationary shock from the war in Iran have also pushed long term Treasury borrowing costs to a 25 year high.
Yet the accelerating AI spending boom is making an already difficult debt market even tighter. Investors must now absorb massive federal issuance alongside hundreds of billions of dollars in borrowing from highly profitable technology companies.
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“Whoever's issuing, be it a government or a hyperscaler or a non-hyperscaler credit, is now competing with more borrowers,” said Tony Rodriguez, head of fixed-income strategy at Nuveen Asset Management. “And therefore yields have to be higher.”
Investment grade companies have sold nearly $1.5 trillion in bonds this year, up 36 percent from the same period a year earlier. Issuance is on track to surpass the 2020 record, when companies rushed to borrow at interest rates near zero.
Nomura Securities estimates that roughly $200 billion in borrowing from the largest technology companies equals about 25 percent of net Treasury note and bond issuance to private investors. That share is five times larger than it was in 2025.
The borrowing wave shows little sign of retreating because Amazon and Alphabet have increased their spending forecasts. Nvidia has also said it is working with major Wall Street firms to raise another $500 billion for artificial intelligence projects.
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Some investors are selling Treasuries to finance purchases of corporate bonds offering richer returns. Alphabet recently issued 30-year debt yielding nearly 6.4 percent, about 1.15 percentage points above comparable Treasuries, while financing connected to a Meta data center paid more than 7.5 percent.
“When these new issues come into the market, there's a premium that comes into play,” said Neuberger Berman portfolio manager Olumide Owolabi. “Selling Treasuries to go buy corporates doesn't mean I do not like Treasuries. It just means I have a better opportunity.”
Morningstar data show that investment grade bond funds have reduced Treasury exposure while raising average corporate allocations to 30 percent, the highest level in three years. Overseas investors, traditionally an essential source of financing for Washington, have made similar adjustments.
That shift complicates the Trump administration’s effort to reduce Treasury market pressure and lower mortgage and consumer borrowing rates. Treasury Secretary Scott Bessent has relied heavily on short term debt, allowing the government to hold the size of its 10 year and 30 year auctions steady.
Barclays estimates that strategy will limit net Treasury note and bond supply to roughly $1.2 trillion this year, about $440 billion below 2025. However, net corporate bond supply is expected to grow by $474 billion, meaning AI borrowing has more than filled the opening created by Treasury.
Vanguard portfolio manager Alex Payne said AI spending has become the leading topic in his firm’s daily conversations because it affects both growth and debt supply. “AI has been the biggest story in markets for the last couple years,” he said. “It just touches everything.”
Bank of America economists said AI borrowing is “potentially crowding out long-end Treasury demand” and estimated that corporate-debt issuance, together with mortgage-backed securities sales, has lifted the 10 year yield by about 0.3 percentage point this year.
Nomura strategist Jonathan Cohn warned, “For Treasury, the sheer amount of duration supply forced onto the market, notably at the long-end, should be a concern.” Although reducing government bond sales is not his base-case expectation, he said it has become a genuine possibility.
JPMorgan strategists expect AI infrastructure spending to reach $5.5 trillion through 2030, suggesting the contest for capital could intensify dramatically. That would keep pressure on longer term rates regardless of decisions made by monetary or fiscal policymakers.
“That is a crowding-out effect,” PGIM investment chief Greg Peters said. “It is important to remember that we are just starting,” he added. “This hyperscaler debt issuance story has really just begun.”
DISCLAIMER: GoldInvestors.news is not a registered investment, legal or tax advisor or broker/dealer. All investment/financial opinions expressed by GoldInvestors.news are from the personal research and experience of the owner of the site and are intended as educational material. Although best efforts are made to ensure that all information is accurate and up to date, occasionally unintended errors and misprints may occur.
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