CoreWeave bond yield tops 16% on AI debt fears

CoreWeave's 2032 bond yield exceeds 16% as investors worry about AI infrastructure costs. CDS spreads jump, signaling higher default risk compared to peers like Nvidia and Oracle.

By NewsClearly Newsroom

· 4 min read

CoreWeave bond yield tops 16% on AI debt fears
Photo: Myrmux / CC BY-SA 4.0 via Wikimedia Commons

Based on reporting by Fedir Kryshtovskyi (UA.NEWS).

CoreWeave bond yield tops 16%

The cost of borrowing for AI infrastructure provider CoreWeave has surged, with the yield on its 2032 bonds exceeding 16%, according to CNBC. This sharp increase reflects growing investor anxiety over the financial sustainability of the rapid expansion in artificial intelligence data centers. The bonds carry a coupon rate of 9.625%, meaning the market price has fallen significantly as investors demand a higher return to compensate for perceived risk.

What the numbers show

Market data indicates a widening gap in credit risk between CoreWeave and established technology giants. According to Deutsche Bank, five-year credit default swaps (CDS) for CoreWeave jumped above 1,289 basis points on Thursday, surpassing previous peaks from October. By Friday, this indicator had fallen by 8% to approximately 1,155 basis points. CDS instruments essentially function as insurance against default, so a higher price signals greater fear of non-payment.

  • CoreWeave 2032 bond yield: Exceeded 16%
  • CoreWeave CDS spread: Approximately 1,100 basis points
  • Nvidia CDS spread: Approximately 139 basis points
  • Oracle CDS spread: Approximately 298 basis points

While the cost of debt insurance has also risen for other major tech firms over the past month, their levels remain substantially lower than CoreWeave's. Nvidia's CDS increased by 76%, Broadcom's by 49%, and Amazon's by 44%, yet their spreads remain far below the 1,100 basis points seen for CoreWeave.

Why investors are concerned

The spike in borrowing costs is driven by fears that the massive capital expenditure required for AI infrastructure may not generate sufficient returns. Goldman Sachs noted that hyperscalers collectively recorded negative free cash flow in the third quarter, as capital expenditures exceeded operating cash flow. This suggests that the companies building the AI backbone are spending more than they are currently generating from operations.

Additionally, political and regulatory obstacles are creating uncertainty. The market is factoring in possible delays or cancellations of data center projects in key states such as Ohio, Texas, and Georgia, where a significant share of new capacity is planned. Goldman Sachs estimates that potential moratoriums could affect 45% of planned capacity in the United States, with a substantial portion located in Texas.

The scale of AI debt issuance

Despite the rising costs, financing for AI infrastructure has not stopped. Goldman Sachs counted five AI-related bond issues totaling $67 billion since October 29. The total volume of hyperscaler debt issuance this year reached $296 billion, according to the bank's estimate. For next year, Goldman Sachs forecasts $440 billion in such debt, plus another $300 billion in investment-grade and high-yield project borrowing.

Bank of America analysts expect AI-related debt issuance to rise by 31% from 2026 to 2027, reaching $685 billion, including both public and private debt. However, they forecast a 23% decline to $531 billion in 2028, suggesting a potential cooling off in the boom.

What this means for the market

For investors, the rising yield on CoreWeave bonds serves as a warning sign about the risks associated with high-growth, capital-intensive tech sectors. It highlights that not all tech stocks or bonds are created equal; those with heavy reliance on future cash flows and massive upfront costs face higher scrutiny. For the broader industry, the increasing cost of capital could slow the pace of data center construction, potentially impacting the timeline for AI model training and deployment. Readers should watch for further developments in state-level regulations regarding data centers and any changes in the free cash flow trends of major hyperscalers, as these factors will directly influence the sustainability of the current debt-fueled expansion.

Sources

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