AI and technology stocks perked up early this week following the publication of the IPO prospectus for Anthropic. Investors took heart from news that the Claude chatbot maker pulled in more than $16 billion in revenue in the first half, says Ipek Ozkardeskaya of Swissquote.
But cracks have begun to emerge in parts of the AI landscape. The cost of insuring debt issued by CoreWeave, a “neocloud” data-centre business, recently rose to allow for “a more than 60% chance of default within the next five years”, according to Bloomberg. CoreWeave is a highly leveraged owner-operator of potentially fast-depreciating assets, says Victor Balfour of Rothschild & Co. It’s little surprise the shares have plunged 67% since their peak in June 2025.
That doesn’t necessarily spell doom for AI more generally. The technology “hyperscalers” are much more robust – Microsoft shares have risen 38% since the start of July. These companies are issuing a lot of debt to pay for their AI investments, but their strong operating cash flows and balance sheets are “reassuring”.
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Stijn Van Nieuwerburgh of Columbia University estimates that spending on AI data centres, power systems, networking infrastructure and specialised chips will hit $10.3 trillion in 2025-2032. On an annual basis, investment will run at 3.63% of US GDP. For comparison, the late 1990s dotcom boom saw capital spending equivalent to 1.1% of annual GDP; the 1870-1890 US railroad mania was previously the historical leader at 2.24% of GDP.
As the credit boom goes on, Van Nieuwerburgh warns financing is moving into an opaque world of “joint ventures, private credit, securitisation, special-purpose vehicles, lease commitments and loan guarantees”. That makes it much harder to keep track of where dangerous credit risks are accumulating.
AI profits bubble?
The Nasdaq 100 trades on a forward price-to-earnings ratio a little over 20 times, a premium rating but not obviously bubbly. That’s because the “bubble is in profits, not valuations”, says Edward Chancellor on Breakingviews. Big American blue-chips have reported breathtaking earnings growth; S&P 500 earnings per share rose 26% in the 12 months to July, far above the long-term average of 7%. Morgan Stanley predicts the 42 most AI-exposed firms will grow profits by 67% this year.
But the AI profit boom is something of an accounting “mirage”. When a hyperscaler such as Microsoft buys a chip from Nvidia, the latter is able to book an immediate sale, but the former acquires an “asset” that depreciates slowly over a number of years. Unless the chips deliver the promised earnings bonanza, an earnings hangover will eventually catch up with the hyperscalers – “by the end of the decade… annual depreciation charges will range between $500 billion and $1 trillion”.
Earnings bubbles have occurred before, notably in US housebuilders at the 2006 peak of the property bubble. Should US profit growth revert to the historical mean and losses emerge at data-centre operators and AI frontier labs, then the damage could “metastasise through the financial system”.
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