The neocloud trade - data center firms renting AI chips at scale - just hit a wall. Elice Inc. - a South Korean provider of AI computing that had scarcely registered overseas until now - fell 32% on Tuesday in its Seoul debut, despite posting profits, running data centers, and holding government contracts.
CoreWeave, based in Livingston, New Jersey, is the highest profile player and a test case for the borrow-to-buy-Nvidia model. Its shares fell roughly 20% over the week and its bonds slipped into distressed territory as leverage worries mounted. Over 18 months in public markets, sentiment has whipsawed: the company neared a $90 billion market value last year but now trades more than 60% below that peak. Nvidia backed the firm and Chief Executive Officer Jensen Huang tried to steady nerves, briefly lifting the stock before selling resumed the next day.
The ripples are everywhere. Earlier this month, Nvidia-backed Firmus looked poised to attempt one of Australia's biggest ever listings at up to $5.5 billion, aiming for a $30 billion valuation, but scrutiny from U.S. fund managers derailed the effort. Another Nvidia-backed name, Britain's Nscale Ltd., is meeting resistance on price; some backers have argued a range of $16 billion to $19 billion would be more palatable for buyers.
Both firms have struggled to turn orders into operating capacity, with only a small share of planned buildouts live. Nscale's own filing shows it had built or leased less than 1% of its listed potential capacity as of August 2026, measured in megawatts.
Financing is tougher too. SB Energy, SoftBank Group Corp.'s U.S. vehicle for AI infrastructure, has seen listing talks slow markedly while approvals take longer. AirTrunk, the Australia-based developer backed by Blackstone Inc., postponed marketing a roughly 6% yield, $1.5 billion REIT in Singapore into next year after U.S. rates rose in September. And in credit markets, JPMorgan Chase & Co. and Goldman Sachs Group Inc. had to sweeten terms on a $5 billion leveraged loan for Volta Infrastructure Holdings Ltd., lifting investor payouts to move the deal.
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The universal AI bid is giving way to a pickier market. Tech giants tied to AI hardware, including ASML Holding NV and Taiwan Semiconductor Manufacturing Co., continue to post strong results, yet TSMC fell last week anyway. Worries about returns have produced the worst stretch for semiconductor shares since the global financial crisis. It adds up to a simple theme: investors want proof that debt-funded construction will meet demand on time and translate into cash flow.
Plenty of insiders are calling the mood shift. "The era of 'buy everything AI,'" is over, said Hebe Chen, a senior market analyst with Vantage Global. Speaking from Hong Kong, Gavekal Capital Ltd.'s portfolio manager Leonid Mironov said, "When the sentiment is super bullish, no one cares, and when it's super bearish, it's all doom," adding that cash generation is the crucial yardstick and that heavy bearish positioning can obscure the fundamental picture.
"When major neocloud names face turbulent swings in investor sentiment, their smaller competitors in Asia are bound to face the repercussions," said Homin Lee, a strategist at Lombard Odier, who is sticking with large-cap tech in North America and Asia. And Dan Ives, Yorkville Ives & Co.'s senior managing director, warned that minor shifts in sentiment can unsettle a technology stack where a multitrillion-dollar AI buildout depends on just a few dominant companies.
Neoclouds rent Nvidia-powered computing to customers like Microsoft Corp., Meta Platforms Inc., Anthropic PBC and OpenAI. This buildout has fueled markets since the ChatGPT boom, culminating in SpaceX's debut earlier this year as the biggest IPO ever, and it could be topped if Anthropic lists as soon as next month. Anthropic has pledged AI infrastructure contracts totaling hundreds of billions of dollars, is chasing a valuation in the trillions, and is negotiating with Nscale for $45 billion of added capacity.
The caution is not confined to AI. Smart-ring maker Oura Inc. also scrapped its September listing plans after rates climbed and the war against Iran continued. The bottom line: capital is still available, but it is choosier and costlier. For AI infrastructure names, that means investor questions about leverage, build timelines and revenue conversion are front and center - and the answers will drive who raises money on good terms and who does not.
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