Technology
Gartner forecaster says AI returns lag behind neocloud build-out spending
CNBC reports Gartner's John Lovelock says compute capacity exceeds demand, while 80% of neoclouds could stop operating independently.
The short version
- Gartner stands by a forecast that $3.5 trillion in AI investment could be at risk over profitability concerns.[CNBC]
- Gartner chief forecaster John Lovelock told CNBC that compute capacity currently exceeds demand.[CNBC]
- Gartner predicts 80% of neoclouds could stop operating as independent companies, though Lovelock says they will not fail en masse.[CNBC]
- CoreWeave and Nebius each fell 25% last week, and Wolfe analysts say the Gartner report likely contributed.[CNBC]
Key facts
- Gartner's forecast says $3.5 trillion in AI investment could be on the rocks due to profitability concerns among top AI models.[CNBC]
- Gartner researchers wrote that overall AI revenue will be insufficient to support profitable returns on all planned AI capital expenditures between 2027 and 2030.[CNBC]
- Lovelock told CNBC that compute capacity currently exceeds demand, with many tokens and processing power given away in freemium offerings.[CNBC]
- Gartner predicted that 80% of neoclouds, AI-dedicated computing power providers, could cease functioning as independent companies.[CNBC]
- Neoclouds were hit hard last week, with CoreWeave and Nebius each down 25% and IREN down 16%.[CNBC]
- For the week ending October 16, the S&P 500 finished down 2% and the Nasdaq Composite fell 4%, while the Dow rose 0.7%.[CNBC]
- Analysts at Wolfe said in a Sunday note that the Gartner report likely contributed to the market stress.[CNBC]
What remains uncertain
Sources
Outlet counts describe coverage, not independent confirmation. Reports may share a wire service or original source.