The CoreWeave story is the story of a bet that has worked — for now. The neocloud, founded in 2017, built a business renting GPU capacity to the world's largest artificial intelligence laboratories. In 2025, the company generated billion in revenue. Projections for 2028 called for 2 billion, with a 70% EBITDA margin. Total accumulated debt? More than 1 billion.
In credit markets, the numbers already tell a different story. The yield on one of CoreWeave's bonds maturing in 2032 with a 9.625% coupon rose above 16% last week, as reported by CNBC on November 6. What this means in practice is that the bond, which should yield 9.625% per year, is trading at a deep enough discount that a buyer at the current price would receive more than 16% per year — if the company honors everything. But the market is not convinced that CoreWeave will honor its obligations.
Credit default swaps (CDS), which function as insurance against default, climbed above 1,289 basis points (12.89%) the previous day, a record above October's peak, according to Deutsche Bank. On the following Friday, they retreated 8% to about 1,155 basis points. Even that reduced level is still more than ten times what investment-grade companies pay for default protection.
For comparison, Nvidia's CDS spread stood at about 139 basis points — nearly 10 times smaller — while Oracle's sits around 298. CoreWeave, technically, is a company with a much larger balance sheet. But it is also the most leveraged. CEO Mike Intrator dismissed market moves in a memo obtained by CNBC, stating: "We are confident in our backlog, which more than supports all our debt obligations." Deutsche Bank placed that backlog above 00 billion, with about two-thirds held by investment-grade counterparties including Microsoft, Meta, IBM, and Caterpillar.
The question is not whether anyone wants the product. All major AI players are signing contracts with CoreWeave. The question is whether the cash flow will arrive in time. CoreWeave's net interest expense jumped from 67 million in the second quarter of 2025 to 40 million in the second quarter of 2026 — nearly billion per quarter in interest, representing about a quarter of the company's revenue. It is a financial model that works while money comes in fast enough to cover the gap, but that cannot tolerate even a moment of hesitation.
What changed in November? The answer is politics. On November 4, the midterm elections saw Democrats win sweeping control of Congress and governorships in key states for AI infrastructure. Texas, which accounts for 27% of planned data center gigawatts according to Wells Fargo, elected a governor who campaigned against uncontrolled data center expansion — including an immediate moratorium. CoreWeave's stock fell 9.2% the following Thursday, while neocloud stocks like Nebius dropped 6%.
Analysts are divided on the impact. JPMorgan's James Sullivan told CNBC that debt-funded neoclouds face much higher borrowing costs than hyperscalers — meaning CoreWeave has a competitive advantage that is disappearing. Nomura, on the other hand, estimates the bigger impact will only hit from 2028, because much of the capacity due in 2027 is already under construction.
What makes this moment interesting is not CoreWeave in isolation — it is what it represents for the entire sector. Christopher Wood, Jefferies' head of equity strategy, summed it up in a Friday memo: "The most plausible way the AI capex arms race will end is that the credit card will be taken away." The point is not that credit will suddenly dry up. It is that costs will rise until investing in data centers no longer makes financial sense.
The sector's debt issuance data reinforce this idea. Bank of America estimates that AI-related credit issuance will rise about 31% from 2026 to 2027, reaching about 85 billion, including public and private debt. But it expects a 23% drop to about 31 billion in 2028. The question is whether 2027 will be the year that revenue growth numbers actually materialize — or whether it will be the year markets realize they are buying an increasingly expensive credit card to finance a race whose finish line no one knows where it is.
Sources: CNBC, CNBC, Traders Union
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