AI-related corporate debt has exploded at a pace that is fundamentally reshaping how investors think about the technology sector’s financial risk profile.
Hyperscaler bond issuance jumped from $20 billion to $109 billion in 2025, and gross issuance in the first four and a half months of 2026 has already exceeded all of last year, reaching around $152 billion.
Analysts now expect some $300 billion in AI-related debt to be issued across the full year, a figure that would have seemed unthinkable just a few years ago.
Companies including Amazon (AMZN), Alphabet (GOOGL), Meta (META), Microsoft (MSFT), and Oracle (ORCL) issued $159 billion in corporate bonds in the first five months of 2026 alone, according to financial services firm Dealogic.
That staggering sum surpasses the combined total borrowing of those same companies over the entire previous five years, marking a dramatic structural shift in how Big Tech finances its ambitions.
Nvidia (NVDA) also entered the bond market, issuing $25 billion in corporate debt, its first round of issuance since 2021, and found no shortage of eager buyers looking to gain AI exposure through fixed income.
Artificial intelligence is giving tech investors an entirely new reason to pay close attention to the Federal Reserve and the broader interest rate environment.
For years, megacap technology companies with enormous cash reserves were largely able to shrug off rising borrowing costs, but that insulation is eroding fast as companies pour capital into data center buildouts and chip infrastructure.
One analyst captured the shift bluntly, saying that “tech investors are learning what it’s like to be an investor in old-economy industrial businesses.”
The International Monetary Fund has flagged a concern about a “potential maturity mismatch” between the duration of physical AI assets and the debt used to finance them, as data centers and chips could lose value before loans are repaid.
Bond spreads have absorbed much of the new supply, but not without visible strain, as even top-rated giants like Alphabet and Meta are paying a premium to attract buyers given the sheer volume of issuance hitting markets simultaneously.
The pressure has been most acute for Oracle, which carries a lower credit rating than its hyperscaler peers, and the cost to insure the company’s debt against default has surged sharply.
S&P Global Ratings lowered Oracle’s credit rating to BBB-, just one level above junk status, directly citing the company’s rapidly expanding AI spending as a driver of that downgrade.
The broader concern for investors is that companies which were once reliable cash-generating machines are now depleting reserves and taking on significant leverage, making them far more sensitive to interest rate movements than at any point in recent memory.
