Gartner warns $3.5T in AI infrastructure spending could be at risk by 2030
Network World ·
In another sign that the AI bubble is potentially ready to burst, both Gartner and Elon Musk have predicted a significant consolidation of the neocloud business and revenues to fall very short of expectations in general. Gartner says more than $3.5 trillion in artificial intelligence infrastructure spending could be exposed to asset impairments by the end of 2030 if providers continue investing at their current pace. AI providers are expected to spend nearly $1 trillion on infrastructure in 2026, followed by another $6 trillion in planned investments between 2027 and 2030, according to the report. All told, AI data center owners would need to generate approximately $8.5 trillion in cumulative revenue through 2030. However, the firm expects revenue from enterprise and consumer AI applications to reach $3.6 trillion at current rates of growth, leaving a nearly $5 trillion gap. The resulting shortfall raises the risk that providers will have to write down the value of infrastructure investments that fail to generate sufficient returns. Gartner estimates that, if current investment trends persist, more than $4 trillion in asset value could be exposed to write-downs through 2032. The firm does not expect the industry to achieve its assumed 12% return on invested capital before the end of that year at the earliest. The scenario described in our research is the most likely scenario given current trends, but not the only possible scenario,” said Will Sommer, senior director analyst at Gartner. “Reduced spending on infrastructure as the neocloud market consolidates and overall spending rationalizes in line with demand is the most likely way in which the hole closes,” he said. Sommer said the reason neoclouds are the most affected by these trends is due to a few industry dynamics: The hyperscalers are highly diversified and can sustain massive investments for years to support market share growth. Also, the expected market for AI-optimized Infrastructure as a Service (IaaS) is “only” expected to be $200 billion by 2030. Much of this will be dominated by the hyperscalers. It’s a natural course of business. If people can get general cloud computing and AI cloud computing from one provider, say Amazon, they would rather do that than split it between two providers. The forecast points to particularly severe challenges for neocloud providers, a growing category of companies that build or operate infrastructure optimized for AI workloads. Such companies include CoreWeave, Nscale, Nebuism and Lambda These providers offer access to AI accelerators, high-performance computing capacity and associated cloud services, often competing with established hyperscalers. Gartner predicts that more than 80% of neocloud providers will cease operating independently by 2030 as they face mounting costs and struggle to differentiate their offerings. The prediction does not necessarily mean that all affected companies will fail. Some could be acquired, merge with competitors or enter partnerships that allow them to continue operating under different ownership or business structures. Gartner estimates that spending on AI-optimized infrastructure-as-a-service will increase from $66 billion in 2027 to $174 billion in 2030. Despite that growth, the firm expects demand to be insufficient for most AI computing providers to recover their investments before the current generation of AI semiconductors is replaced. Separately, SpaceX CEO Elon Musk said on X that the rapidly expanding neocloud sector faces widespread consolidation and company failures amid rising borrowing costs and mounting questions about the profitability of artificial intelligence infrastructure. Musk predicted that more than 200 neocloud companies could face significant financial distress, predicting that only a small number would survive the coming shakeout. He also said SpaceX would not acquire any of the companies, describing such purchases as “pointless.” The chickens are already coming home to roost on the neoclouds. CoreWeave, Nebius, Applied Digital and TeraWulf have reported quarterly losses over the past year, while IREN has failed to turn a profit in its past three quarters. Shares of CoreWeave, Nebius and IREN have fallen more than 30% during October, according to Reuters. Building AI data centers requires substantial upfront investment in GPUs, networking equipment, power systems, cooling infrastructure and facilities. Operators must then generate enough revenue from leasing computing capacity to cover operating expenses, interest payments and equipment replacement. For now, the neocloud sector faces a central challenge: securing the financing needed to build infrastructure at the pace demanded by AI customers while demonstrating that those investments can deliver sustainable returns. Musk’s warning has intensified scrutiny of that business model, but the extent of any consolidation will ultimately depend on companies’ ability to secure funding, maintain customer demand and turn rapid infrastructure growth into lasting profitability.