A widening imbalance between massive capital expenditures and actual market revenue threatens to derail the specialized cloud sector, with more than 80% of neocloud providers projected to cease independent operations by 2030, according to a report by Gartner Inc.

The research firm warns that a continuing surge in artificial intelligence (AI) infrastructure spending could leave more than $3.5 trillion exposed to impairment risk by the end of the decade.

AI providers are forecast to spend nearly $1 trillion on infrastructure in 2026, followed by an additional $6 trillion between 2027 and 2030. However, Gartner estimates that enterprise and consumer AI revenues will fall significantly short of generating profitable returns on these investments.

To justify announced capital expenditures, cover financing costs, and hit a standard 12% return on invested capital (ROIC), AI data center owners would need to generate a cumulative $8.5 trillion in revenue through 2030. Gartner predicts that actual attributable AI revenues during this period will reach no more than $3.6 trillion — less than half of the required threshold.

Furthermore, because many AI-native companies rely on asset-light business models, less than half of that total revenue will go to the entities that own the underlying physical infrastructure.

“The growth in spending on AI-optimized IaaS will be too low for most AI compute providers to recover their AI investments before the current generation of AI semiconductors is replaced,” said Will Sommer, senior director analyst at Gartner.

The revenue shortfall creates severe write-down risks for rapidly depreciating high-tech assets. Gartner projects that if the current investment trajectory holds, over $4 trillion in asset value could face write-downs through 2032, with the industry unlikely to achieve a sustainable 12% ROIC until late 2032 at the earliest.

The impending fallout will hit neocloud providers hardest. Unlike hyperscale tech giants, which possess diversified revenue streams capable of absorbing sustained losses, neoclouds rely almost exclusively on AI-optimized Infrastructure-as-a-Service (IaaS).

Although AI-optimized IaaS spending is expected to grow from $66 billion in 2027 to $174 billion in 2030, that expansion remains insufficient. Driven by heavy cost pressures and a lack of distinct business models, most independent neocloud operators are expected to be forced into consolidation, buyouts, or closure before the decade ends.