CoreWeave Selloff Tests Wall Street's Nerves on $4 Trillion AI Risk
Gartner says AI data centers need $8.5 trillion in revenue through 2030 but will see at most $3.6 trillion, putting over $4 trillion in assets at write-down risk.
By Amara Osei
4 min read
Updated

What's News
- Gartner (Oct. 14) said AI data centers need $8.5 trillion in cumulative revenue through 2030 but will receive at most $3.6 trillion, exposing over $4 trillion to write-down risk through 2032.
- CoreWeave's stock tumbled and its credit default swaps surged amid doubts about AI spending payoffs.
- Nvidia CEO Jensen Huang told Bloomberg CoreWeave needs no backstop and its cost of capital is decreasing.
- Bank of America analysts said the AI boom follows a classic capital cycle that usually ends in disappointment.
- Bond yields sit at their highest in more than 20 years as the Fed hikes rates again against stubborn inflation.
Gartner warned on Wednesday that AI data center owners must generate a cumulative $8.5 trillion in revenue through 2030 to cover capital spending, financing costs and a 12% return. At most, $3.6 trillion in enterprise and consumer AI revenue will actually reach data centers — leaving more than $4 trillion in asset value exposed to write-down risk through 2032. That math, not a single blowup, is what's keeping Wall Street arguing over whether the AI boom's latest wobble is the bust or another head fake.
The immediate trigger is CoreWeave. The debt-laden cloud computing firm watched its stock tumble and its credit default swaps surge in recent sessions, dragging the broader debate over whether trillions in AI spending will ever pay off.
How many canaries have already died?
Since OpenAI's ChatGPT arrived in late 2022, bears have called the top at every milestone. Nvidia crossing $2 trillion, $3 trillion, $4 trillion and $5 trillion in market cap each raised alarms. So did the borrowing binge by AI hyperscalers and their astronomical capex plans, the DeepSeek shock in early 2025, Sam Altman's admission that an AI bubble exists, and Michael Burry's bearish bets. This year added the Iran war, South Korea's stock market meltdown and "circular" funding deals between AI companies. Earnings kept soaring, and stocks set record after record.
Dan Greenhaus, strategist at Solus Alternative Asset Management, isn't treating CoreWeave as the canary in the coal mine.
"How many canaries have we killed in the coal mine over the last three years as everybody has latched on to every new sign of weakness so to speak as evidence that the bull market was about to end only to see the broad market, both tech and otherwise, go on to make new highs?" he told CNBC on Friday. "So I don't know that I would read any more into what's happening now than I would have or did any of the other headlines."
Greenhaus noted CoreWeave's unsecured debt has drawn particular fire — he calls it "the riskier of the riskier AI buildout play." Earnings from chip suppliers like Taiwan Semiconductor, he pointed out, show broader demand remains robust. But he doesn't expect AI companies to keep financing themselves indefinitely as rates climb.
"I don't know whether this is the breaking point or another 25 or 50 basis points higher is the breaking point," Greenhaus said. "But as rates move higher, the more speculative tails so to speak of the buildout are going to be called into question, and right now that's CoreWeave."
Who's defending CoreWeave?
Borrowing costs have jumped as the Iran war and oil prices pushed bond yields to their highest in more than 20 years, with the Federal Reserve hiking again to fight stubborn inflation. That's put tighter scrutiny on the debt-financed edges of the AI boom.
CoreWeave CEO Mike Intrator said markets can "misunderstand and act irrationally," and told employees in a memo that the company's deal backlog more than covers its debt obligations. Nvidia, a CoreWeave shareholder, also stepped up. CEO Jensen Huang said the company needs no financial backstop.
"CoreWeave's strength is improving every day," he told Bloomberg. "I'm optimistic. Their cost of capital is actually decreasing."
Others on Wall Street agree the recent selloff looks like another buying opportunity, given still-strong AI demand.
What does the capital cycle say?
Bank of America analysts wrote in a Friday note that the AI boom is following a classic capital cycle — one that usually ends in disappointment "even though the underlying technology often lived up to expectations." Early margins run high, pulling in overinvestment, excess capacity and more competition. In AI's case, Chinese open-weight models have intensified rivalry, while business AI spending has started to dip as higher token volumes fail to offset falling token prices.
"This monetization disappointment in the face of intense competition is precisely the failure mode seen in past capital cycles," BofA added.
The bull case now rests on whether Nvidia's backing, TSMC's numbers and CoreWeave's backlog can outlast a rate path that keeps repricing the industry's riskiest debt.
Original: cnbc.com
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Senior reporter covering companies, deals and strategy in entrepreneurship, startups and venture funding at Business Bearings.
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