CoreWeave (NASDAQ: CRWV), Nebius Group (NASDAQ: NBIS), IREN (NASDAQ: IREN), and Hut 8 (NASDAQ: HUT) all suffered double-digit losses after Gartner predicted that 80% of neocloud companies would cease to exist by 2030.
The technology research firm’s warning sent shockwaves through the sector, raising serious questions about whether the current pace of AI infrastructure investment is financially sustainable.
Neocloud operators are next-generation cloud computing companies whose infrastructure is designed specifically to run artificial intelligence workloads, including large language model training and inference.
These companies primarily lease computing capacity powered by Nvidia graphics processing units, typically pairing GPU access with high-speed networking and storage solutions tailored for AI applications.
Unlike traditional cloud providers such as Amazon Web Services, Microsoft Azure, or Alphabet’s Google Cloud, neocloud operators are entirely focused on AI workloads rather than offering a broad range of computing services.
Customers can access neocloud capacity by renting GPU computing power by the hour or by securing dedicated capacity through longer-term contractual arrangements, with some operators also offering managed software services.
Data center real estate operators, including Applied Digital (NASDAQ: APLD), were also caught in the selloff, reflecting how broadly Gartner’s warning reverberated across the AI infrastructure investment landscape.
Gartner had previously projected in June that neocloud providers would capture 20% of the AI cloud market by 2030, with that market forecast to grow to $267 billion, suggesting traditional cloud providers would struggle to keep pace.
The central tension in the sector is that neoclouds are spending enormous sums building out infrastructure while financing the majority of that expansion with debt, creating significant financial risk.
Even with creative financing structures, such as GPU-collateralized special purpose vehicle arrangements, customer prepayments, and vendor financing, neoclouds still carry high debt service burdens alongside rapidly depreciating assets.
GPUs, the core asset underpinning neocloud business models, have economic useful lives of around six years, meaning operators face a continuous and costly cycle of capital reinvestment simply to maintain competitive infrastructure.
Gartner’s broader concern is that AI revenue generation is not growing fast enough to support the current scale and speed of AI infrastructure build-out across the industry.
The combination of heavy leverage, asset depreciation, and uncertain demand trajectories makes the neocloud sector one of the more complex and high-risk areas of the current AI investment landscape for investors to navigate.
