Damodaran questions CoreWeave's credit discipline
Aswath Damodaran criticized lenders financing AI infrastructure, citing CoreWeave Inc. as an example of broken credit discipline. CoreWeave reported long-term debt of $22.65 billion and a net loss of $740 million in Q1 2026. Damodaran argued that lenders are pricing debt based on equity narratives rather than cash flows.

*this image is generated using AI for illustrative purposes only.
Aswath Damodaran, the NYU Stern professor known as the “dean of valuation,” criticized lenders financing the AI infrastructure boom, citing CoreWeave Inc. as a case study in broken credit discipline. Speaking on the Fixed + Floating credit podcast, Damodaran argued that lenders to AI data center companies have “lost the script” by pricing debt off equity narratives rather than current cash flows. He labeled private credit lenders as “sheep” for following equity trends without proper risk assessment.
Damodaran’s core argument is that private credit, not equity, faces the biggest loss if the AI build-out re-prices. He explained that equity holders capture the upside if the story succeeds, while lenders only receive their coupon. If the narrative fails, lenders absorb the losses. He compared this to shale oil companies that borrowed at $120 a barrel and struggled when prices fell to $60.
CoreWeave’s Financials
CoreWeave reported long-term debt of roughly $22.65 billion as of the first quarter of 2026, according to its Q1 earnings report. The company’s net interest expense climbed to $536 million in the quarter, up from $264 million a year earlier. The GAAP net loss widened to $740 million from $315 million.
| Metric | Q1 2026 | Previous Year |
|---|---|---|
| Long-term debt | $22.65 billion | - |
| Net interest expense | $536 million | $264 million |
| GAAP net loss | $740 million | $315 million |
Debt Pricing and Ratings
The shift in CoreWeave’s borrowing costs reflects the rapid adoption of the AI story by lenders. In 2023, the company’s debt priced at roughly 15%, a rate typically reserved for risky equipment loans. By March 2026, CoreWeave secured an $8.5 billion facility at an implied cost of less than 6%, receiving an investment-grade rating from three agencies.
The new debt is backed by long-term offtake agreements from Meta Platforms Inc. and Microsoft Corp., which facilitated the investment-grade rating. Damodaran argued this represents lending against narrative, as the contracts are valuable today but expose lenders to risk if AI demand slows or hyperscalers renegotiate.
Market Sentiment
Prediction markets reflect similar anxiety regarding the AI sector. The “AI Bubble Burst by Dec. 31, 2026” contract is trading at roughly 19% on Polymarket, with $2.9 million in total volume. The market spiked toward 30% in May before declining in June. Damodaran also referenced the recent SpaceX IPO, dismissing its $26 trillion total addressable market claim as “fiction,” a sentiment he believes will influence the pricing of OpenAI and Anthropic upon their public debuts.
How might a significant slowdown in AI demand impact the creditworthiness of other data center operators with similar debt structures?
Will the perceived risk of lending against AI narratives cause a contraction in private credit availability for the tech sector?
What specific triggers could force hyperscalers like Meta and Microsoft to renegotiate their offtake agreements?































