Gartner warns AI neocloud build-out faces profitability risk

Traders Union
All News
Business & Wealth
Companies
AI neocloud profitability risk

Highlights

Gartner warns $3.5 trillion in AI infrastructure investment could be at risk as revenue growth lags planned capital spending through 2030.
Gartner predicts 80% of neoclouds may cease independent operations, with most AI markets likely narrowing to duopolies like Anthropic and OpenAI.
CoreWeave, Nebius, and IREN shares fell 25%, 25%, and 16% respectively after the report, contributing to the Nasdaq Composite's 4% drop through Oct. 16.

Profitability concerns cloud AI infrastructure spending

As reported by CNBC, Gartner is standing by its forecast that $3.5 trillion in AI investment could be at risk because revenue is not yet keeping pace with the capital being committed to the sector.

John Lovelock, Gartner’s chief forecaster, says the market currently has more compute capacity than demand, while tokens and processing power are being distributed through freemium offerings. He says this mismatch could drive mergers, takeovers and broader consolidation among neoclouds, the AI-dedicated providers building computing infrastructure for leading model developers.

Lovelock says Gartner expects most AI markets it tracks to narrow into duopolies, with Anthropic and OpenAI forming the main commercial frontier-model pairing. He adds that the asset base being built by neoclouds to serve that duopoly requires cash flow that is not yet scaling in line with investment levels.

In its report issued last week, Gartner says 80% of neoclouds could stop operating as independent companies. The research also finds that overall AI revenue will be insufficient to generate profitable returns on all planned AI capital expenditure between 2027 and 2030.

Market fallout spreads across AI stocks

Neocloud shares were hit hard after the report, adding pressure to the broader technology trade. CoreWeave dropped 25%, Nebius fell 25% and IREN lost 16% last week, while the S&P 500 ended the week down 2% and the Nasdaq Composite fell 4% through Oct. 16; the Dow Jones Industrial Average rose 0.7% as investors rotated away from technology stocks.

By midday Monday, some of those stocks were recovering, with CoreWeave up about 2%, Nebius ahead 3.3% and IREN gaining 5.6%. Analysts at Wolfe say in a Sunday note that Gartner’s findings likely contributed to market stress, while Stephanie Wolfe at Roth writes that investors were already on edge when the report warned that more than $3.5 trillion in AI infrastructure spending could face impairment by 2030.

Gartner’s view adds to a broader debate over whether AI spending assumptions are outrunning commercial returns. The firm points to slowing revenue growth at Anthropic, from 140% in the second quarter to 45% in the third, and notes that a $16.8 billion quarterly revenue base remains small against the more than $5 trillion hyperscalers are expected to invest through 2030.

Other market voices are also urging caution. Jefferies global head of equity strategy Chris Wood has been warning about capital destruction in AI since at least September, and investor Paul Tudor Jones says last week that broader macroeconomic conditions could make 2027 a difficult year for the stock market.

In our earlier article on the mounting financial and operational hurdles for U.S. AI data centers, we outlined how rising funding costs, construction delays, and power constraints are starting to undermine confidence in the buildout. We also noted that only a minority of planned projects looked fully credible, with examples like cost overruns and weakened investor sentiment highlighting the risk that massive capital commitments may not translate into sustainable returns.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.