Big Tech's $570 Billion AI Debt Spree Is Reshaping Global Credit Markets

The Numbers Behind the Surge

Goldman Sachs Research tracks nearly $500 billion in total AI-related debt issuance so far in 2026, with the hyperscalers representing roughly 40% of that total . Morgan Stanley forecasts full-year global AI-related debt issuance reaching approximately $570 billion, more than double the prior year . Citadel Securities predicts that by 2028, U.S. technology companies will issue more than $500 billion in cumulative debt across public and private markets just to fund AI chip purchases .

The pace is staggering. Through the first five months of 2026 alone, AI-linked debt issuance stood at nearly $236 billion — four times the amount raised over the same period a year earlier . UBS data indicates that aggregated capital expenditure among AI hyperscalers could top $770 billion in 2026, some 23% higher than previously expected, implying a $40 billion to $50 billion ramp-up in borrowing .

Rising Yields and Softening Demand

Investors are becoming more selective. Coverage ratios for new hyperscaler bonds are declining, and yields are climbing as the market absorbs the rush of supply . Oracle's 5-year CDS spread touched 75 basis points — a 7-year high — and has since traded near 200 basis points; Nvidia and Meta CDS spreads have also widened significantly . Oracle's CDS has jumped 70 basis points in 2026 alone, reaching around 215 basis points, the largest increase among major technology companies tracked .

Despite the alarm, most analysts consider a systemic credit event unlikely in the near term. Reuters notes that the explosion in CDS hedging "largely misreads the signal" — the probability of actual default by hyperscalers remains low, and the CDS market for tech is still relatively small and liquid . DTCC data shows that in the second quarter of 2026, 16 technology companies averaged only $637.5 million in combined daily CDS notional volume, about 4% of the $16 billion daily total across all corporate and sovereign issuers .

The Risk of Repricing the IG Market

Multiple strategists caution that if the pace continues, the sheer volume could force a structural repricing of the entire investment-grade corporate bond market — even though aggregate spreads remain historically tight near post-financial-crisis lows . As of mid-2026, the spread on global investment-grade corporate bonds stood at approximately 80 basis points, only about 6 basis points above the post-financial-crisis low reached earlier in the year .

The Bank for International Settlements and Oxford academic researchers have flagged concentration risk in credit derivatives markets that existing regulatory frameworks are not designed to handle . Between 2020 and 2024, the five major AI hyperscalers issued an annual average of $28 billion in U.S. corporate bonds. In 2025 alone, that figure reached $121 billion .

What This Means for Investors

The risk is more about crowding, valuation distortion, and spread decompression than imminent distress. Goldman Sachs expects that roughly one-third of hyperscaler capex will be debt-financed in 2026, rising further in 2027 . A key concern is the shift of financing toward less transparent private credit and off-balance-sheet structures, estimated at $800 billion for data centers .

For bond investors — including the index and target-date funds inside ordinary 401(k) accounts — the AI buildout is no longer just a stock story. It is becoming the largest single position in the investment-grade credit market . The question is not whether this borrowing spree will cause a default crisis, but whether it will permanently alter the pricing and risk profile of the corporate bond market.