CoreWeave financing stress deepens as bond yield tops 16% in AI debt market

Traders Union
All News
Business & Wealth
Companies
CoreWeave bond yield stress

Highlights

CoreWeave's 2032 bond yield surged past 16% and five-year credit default swaps peaked above 1,289 basis points on Thursday, reflecting deepening AI financing concerns.
Credit default swap spreads on Nvidia, Broadcom, and Amazon.com debt have risen 76%, 49%, and 44% respectively over the last month, signaling broader market stress despite differing absolute levels.
Goldman Sachs tracks $296 billion in hyperscaler debt issuance this year and projects $440 billion in 2025, but warns negative free cash flow and policy risks may pressure future AI project financing.

Credit markets tighten around AI infrastructure spending

As reported by CNBC, CoreWeave's 2032 bond, which carries a 9.625% coupon, now yields more than 16%, underscoring rising concern about how the AI expansion cycle will be financed. Deutsche Bank says the company's five-year credit default swaps climbed above 1,289 basis points on Thursday, moving past their October peak, before easing about 8% on Friday to around 1,155.

Jefferies global head of equity strategy Christopher Wood says in a Friday note that debt markets are effectively raising the cost of capital for AI data center builders and could eventually limit access to fresh credit. Jim Reid, Deutsche Bank's global head of macro and thematic research, also says warnings from credit markets are mounting, with debt and equity markets now moving more closely in tandem.

Pressure is not limited to higher-risk borrowers. Credit default swap spreads on Nvidia debt are up 76% over the last month, while Broadcom's are up 49% and Amazon.com's are up 44%, even if those levels remain modest in absolute terms compared with Oracle and CoreWeave.

Policy risks and cash flow scrutiny test expansion plans

The market is also weighing whether political changes could slow or cancel part of the planned data center buildout in the U.S. Goldman Sachs says moratoriums could affect 45% of planned capacity in the country, with a large share in Texas, and governor-elect Gina Hinojosa says she supports protections for communities before further expansion proceeds.

Even so, AI debt financing is not freezing up. Goldman counts five AI bond deals worth $67 billion since October 29, taking total hyperscaler debt issuance this year to $296 billion, and forecasts $440 billion next year, plus another $300 billion of project-level issuance across investment-grade and high-yield markets.

The central issue for investors is how quickly AI spending begins generating enough cash to support continued capital expenditure. Goldman says hyperscalers collectively report negative free cash flow in the third quarter as capital spending exceeds operating cash flow, while delayed monetization and rising purchase commitments remain key risks for future borrowing.

Bank of America estimates AI-related credit issuance rises 31% from 2026 to 2027 to reach $685 billion, including public and private debt, before falling 23% to $531 billion in 2028. The bank says those forecasts still face downside risk if a slowdown in AI infrastructure projects reduces capital spending needs and, in turn, demand for debt financing.

Our earlier article on U.S. AI data center projects highlighted how the buildout is running into higher financing costs, construction delays, and power constraints that are challenging developers’ timelines and budgets. We also noted that investor confidence is being tested as only a portion of planned projects looks truly credible, raising doubts about whether companies can turn massive AI infrastructure spending into sustainable returns.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.