Neocloud stocks, including CoreWeave (NASDAQ: CRWV), Nebius Group (NASDAQ: NBIS), IREN (NASDAQ: IREN), and Hut 8 (NASDAQ: HUT), took a major hit after technology research outfit Gartner predicted that 80% of companies in the space would cease to exist by 2030. Data center real estate operators, like Applied Digital (NASDAQ: APLD), also took a hit on the report.
Neocloud operators are next-generation cloud computing companies whose infrastructure is designed specifically to run artificial intelligence (AI) workloads, like large language model (LLM) training and inference. They primarily lease computing capacity powered by Nvidia graphics processing units (GPUs), while typically pairing it with high-speed networking and storage.
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While traditional cloud computing operators, like Amazon Web Services, Microsoft Azure, or Alphabet’s Google Cloud, offer a broad range of services, neoclouds are solely focused on AI workloads. Customers can rent out GPU capacity by the hour or lease dedicated capacity through long-term contracts. Some operators also provide managed software services to help customers develop and deploy AI models.
In June, Gartner predicted that neocloud providers would capture 20% of the AI cloud market by 2030. It projected that this market would grow to $267 billion and that traditional cloud computing providers would struggle to keep pace. At the time, Gartner analyst Enrique Castera said:
“Neoclouds are offering differentiation via superior performance on AI workloads, flexible deployment models, and a strong commitment to data sovereignty, often at a more competitive price point. The AI cloud market is entering a new phase where sovereignty, performance, and infrastructure specialization are becoming primary decision factors for enterprises. As demand for GPU-intensive workloads accelerates and traditional cloud models struggle to keep pace, it is creating the conditions for a new class of providers purpose-built to deliver AI infrastructure at scale.”
A few months later, Gartner’s opinion of the space has completely flipped. The technology advisory firm projected that there will be nearly $1 trillion spent on AI infrastructure this year, with an additional $6 trillion spent between 2027 and 2030. However, it does not believe that consumer and AI revenue will be large enough to support this spending.
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