Bonds and stocks answer different questions. A bond buyer asks whether a borrower can pay its debt back and what yield it takes to hold that debt for years. A stock buyer asks how much the company might grow. So AI-linked bonds can sell off while AI stocks hold up. The cause would be too much long-dated borrowing hitting the market, or rising risk at weaker borrowers.
Neither needs AI stock prices to fall. A bond selloff means bond prices drop and yields rise. Yields can rise across all long-term debt or only for certain companies. The borrowing to build AI data centers, chips and power is now big enough that debt markets are pricing it on their own terms. Anyone who holds bond funds, private credit or bank stocks should know how that pressure works.
Table of Contents
- How Much Are AI Companies Borrowing?
- How Borrowing Alone Can Push Yields Higher
- Where Stress Shows Up First
- The Hidden Leverage in Private Credit
- Why a Broad Selloff Is Not a Given
- Frequently Asked Questions
How Much Are AI Companies Borrowing?
The five big cloud companies are Amazon, Alphabet, Meta, Microsoft and Oracle. Together they sold about $121 billion of US corporate bonds in 2025. That is more than four times their yearly average of about $28 billion from 2020 to 2024, according to Vanguard's analysis of the AI buildout in the bond market. The money pays for data centers, chips and power. Wall Street expects even more borrowing in 2026.
Estimates put AI-related investment-grade bond sales near $300 billion. That works out to about $360 billion once you account for how long the debt runs. Investment-grade means bonds rated as lower-risk. Long-dated debt matters because buyers take on more interest-rate risk with every added year. Someone has to absorb that much supply. If demand falls short, yields must rise to attract buyers, and that can happen even if AI stocks are rising.
How Borrowing Alone Can Push Yields Higher
The Federal Reserve Bank of Dallas names three ways AI financing adds long-term debt to the market: The Dallas Fed estimated that this "synthetic" AI debt created through swaps may have reached $50 billion in late 2025. It said that is large enough to affect the term premium, which is the extra yield investors demand for holding long-term Treasuries instead of short-term ones.
None of this depends on stock prices. Supply builds up, buyers want more yield, and long-term rates rise. A higher term premium also raises borrowing costs well beyond tech.
- Long-term investment-grade corporate bonds
- Floating-rate loans from private lenders, turned into fixed-rate debt through interest-rate swaps (contracts that trade one kind of interest payment for another)
- Possibly crowding out bond sales by financial firms
Where Stress Shows Up First
Credit markets judge each borrower separately. Stock investors often treat AI as one big theme. Since June 2026, spreads on high-yield data-center bonds have widened, while spreads on investment-grade bonds from the big cloud companies have tightened a little, according to Penn Mutual Asset Management. A spread is the extra yield a bond pays over a similar Treasury.
Oracle shows how far apart the two markets can get. On July 20, 2026, Bloomberg reported that the cost of insuring Oracle's debt with credit default swaps hit a near 18-year high because of its AI debt load. Other reports put its five-year swaps at about 212 basis points (2.12 percentage points), against about 78 for Nvidia and 93 for Meta. For investors, a strong AI stock index can hide weakness in the debt of the most indebted builders. Bond markets may flag trouble before stock markets do.
The Hidden Leverage in Private Credit
Some AI borrowing never shows up in public bond markets. Loans from private credit funds to AI-related companies reportedly grew from almost nothing to more than $200 billion in a few years. Much of that money moves through special-purpose vehicles, securitizations and guarantees. Those structures can hide how much debt sits behind a company. Regulators have noticed.
In the Fed's May 2026 Financial Stability Report, 50% of surveyed contacts named AI as a key risk to the financial system, up from 30% in fall 2025. The share citing private credit rose from 22% to 50%. One reason is that AI threatens software companies that borrow heavily from private lenders. This is a second path to losses. A software borrower can default because AI undercut its business, while the AI companies doing the undercutting see their stocks rise.
Why a Broad Selloff Is Not a Given
The biggest borrowers still have strong balance sheets. Even after heavy borrowing, the big cloud companies often carry leverage of about 0.4 to 0.7 times. The average investment-grade issuer runs at about 3 times, according to J.P. Morgan Asset Management. MSCI argues AI debt has limited power to drive Treasury yields.
So a broad bond selloff driven by AI is a risk, not a forecast. The more likely pattern is uneven. Weaker data-center borrowers and highly leveraged names are the ones exposed. The largest cloud companies are not. Here is who is most exposed, and what to check:.
- **Long-duration bond fund holders:** look at the fund's duration. Longer duration means bigger losses when long-term yields rise.
- **Corporate bond fund holders:** check how much the fund holds in tech and data-center issuers, and whether any of it is high-yield.
- **Private credit investors:** ask how much the fund lends to AI infrastructure or software companies, and through what structures.
- **Bank shareholders:** the Chicago Fed has studied tail risk for banks from generative-AI investment, so check a bank's lending to these sectors.
Frequently Asked Questions
What is the difference between a spread widening and a yield rising?
A yield can rise because Treasury rates rise. A spread widens only when investors want more extra yield for one borrower's credit risk. Both push bond prices down.
Do Treasury bonds face any risk from AI borrowing?
The Dallas Fed says AI debt created through swaps may be large enough to affect the term premium on long-term Treasuries. MSCI argues that effect is limited.
Which AI-related bonds have shown the most stress?
Since June 2026, high-yield data-center bonds have seen their spreads widen, according to Penn Mutual Asset Management. Investment-grade bonds from the big cloud companies have held steady.