A massive $258 billion surge in artificial intelligence debt over the past year may be pushing up borrowing costs for tech hyperscalers and the U.S. government, according to BondCliQ CEO Chris White during an interview on CNBC’s Fast Money. White, whose firm provides corporate bond pricing data, noted that many newly issued bonds from AI-focused technology companies are trading wider within six months of issuance as institutional bond buyers demand higher yields.
Key Takeaways:
- $258 Billion Issued: AI-linked debt sales reached $258 billion over the past year, with CoreWeave representing about 5% of that total.
- Refinancing Pressures: CoreWeave faces refinancing within 5 to 7 years, while Oracle holds long-dated debt spanning decades despite its stock dropping over 33% YTD.
- Single AAA Rating: Microsoft remains the only AI hyperscaler holding a top AAA credit rating.
- Credit Fundamentals: Apollo Global Management chief economist Torsten Slok noted rising default-insurance costs for hyperscalers.
Refinancing Pressures and Widening Credit Spreads
Unlike stock market traders who react day-to-day, fixed-income investors adjust positions over weeks and months, White explained. He highlighted CoreWeave and Oracle as prime examples where bond buyers question long-term credit profiles. As CoreWeave's bond yields surged amid expanding capital needs, the firm's requirement to refinance within 5 to 7 years leaves it exposed to higher short-term rates. In contrast, Oracle benefits from debt maturities running for decades, even as Oracle stock trades down over 33% YTD.
Torsten Slok, chief economist at Apollo Global, previously linked escalating default-insurance costs on hyperscaler debt to weakening credit fundamentals. Wider spreads mean investors demand more yield over safer benchmarks. White called this pattern abnormal for large institutional buyers, warning that when hyperscalers return to borrow, "investors will not be fooled twice."
Broader Impact on U.S. Treasuries and Equities
The funding requirements of AI data center developers are spilling over into macro credit markets. White noted that Microsoft is the only hyperscaler with a premier AAA credit rating, setting the benchmark for peers. If Microsoft must offer sweeter terms to attract buyers, rival borrowers will be expected to match.
White linked this corporate oversupply directly to U.S. Treasuries, citing White House concerns over long-term yields and direct bond-buying programs. Rising yields also threaten equities, following warnings from investor Ray Dalio regarding a shrinking cushion for stocks. As broader macro conditions shift, shifts in public and private capital reflect growing caution over debt levels. White expects lenders to demand higher yields from all borrowers, from private firms to Washington itself.
Why It Matters
The rapid accumulation of AI debt shows that building artificial intelligence infrastructure is becoming an increasingly capital-intensive endeavor. As tech giants issue hundreds of billions in bonds alongside heavy U.S. Treasury issuance, competition for capital threatens to push borrowing costs higher across the broader economy. If hyperscalers fail to generate clear earnings from AI investments, deteriorating credit metrics could make future refinancing significantly more expensive.
