AI investors reassess funding and valuations across the sector

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AI investors reassess sector

Highlights

Investors increasingly demand clearer profit paths from AI startups, causing funding pullbacks and higher bond yields for neoclouds like CoreWeave amid rising rates.
Valuation discipline hits global AI infrastructure players as South Korea's Elice drops over 30% post-IPO and Nvidia-backed Firmus cancels its Australian IPO after investor pushback.
JPMorgan raises its 10–15 year forecast for annual U.S. large-cap stock returns to 7.5%, citing AI productivity gains despite tighter credit conditions and sector repricing.

Funding discipline spreads through AI markets

As first reported by Axios, investors are pulling back funding and demanding clearer proof that AI-related business models can generate returns, marking a shift from broad enthusiasm to more discriminating capital allocation.

Some of the clearest pressure is appearing among neoclouds, the newer companies that borrow heavily, build data centers and sell computing capacity back to hyperscalers as part of the wider AI infrastructure buildout. Bond investors are seeking higher compensation to lend to these groups, with CoreWeave presented as a prominent example as higher interest rates make such businesses look riskier.

The reassessment is also visible outside the U.S. South Korean neocloud Elice's stock plunges more than 30% in its trading debut on Tuesday, while in Australia, Nvidia-backed Firmus shelves a planned IPO earlier this month after investors balk at its valuation. John Pearce, chief investment officer at one of Australia's largest pension funds, says Firmus has a compelling story but not a compelling valuation.

The pullback is not limited to infrastructure startups. Since the tech-heavy Nasdaq peaks at an all-time high on Oct. 6, chip stocks slide as investors reprice expectations across another core part of the AI trade. The Information also reports that Nvidia might be poised to invest hundreds of millions in Firmus, highlighting how established industry backers may still step in selectively even as wider market discipline increases.

Wall Street still backs long-term AI gains

The more cautious tone does not amount to a rejection of AI's economic potential. Large technology companies including Amazon, Meta and Alphabet initially finance their AI expansion through cash reserves, but are now moving into credit markets, prompting investors to reconsider the risks tied to the sector's next funding phase.

David Lebovitz, head of alternative research and strategy at JPMorgan Asset Management, says at an event Monday that free cash flow funding has run out and that credit markets are going through "a little bit of an indigestion period." He later says markets are beginning to differentiate between players, business models and financing approaches after a period of what he describes as blind enthusiasm for all things AI.

JPMorgan still signals confidence in the broader theme. On Monday, the bank raises its forecast for annual returns on U.S. large-cap stocks to 7.5% over the next 10 to 15 years, up from 6.7% last year, citing AI-driven productivity gains and resilient corporate profit margins. The shift in investor behavior suggests the market is trying to cool speculative excess without undermining a trade that continues to underpin expectations for corporate earnings and economic growth.

In our earlier article on the mounting strains in the U.S. AI data center buildout, we examined how higher funding costs, construction delays, and power constraints are making it harder to turn ambitious expansion plans into real capacity. We also noted that investor confidence has started to weaken as projects face cost overruns and tighter capital conditions, raising doubts about how quickly the AI infrastructure boom can scale sustainably.

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