AI providers and proponents received a harsh dose of reality, with the latest information showing the industry is facing a whopping $4.9 trillion shortfall.
AI proponents have long touted the demand for AI services as the necessary key to profitability, as well as the overall survival of the industry. Unfortunately, it seems the demand may not match the amount of money being spent on AI infrastructure, according to Gartner.
“In 2026, AI providers are expected to spend nearly $1 trillion on AI infrastructure, and are forecast to invest an additional $6 trillion between 2027 and 2030,” said Will Sommer, Sr Director Analyst at Gartner. “However, our research indicates that enterprise and consumer AI revenue will be insufficient to support profitable returns on all planned AI capital expenditures during this period.”
“Through 2030, AI data center owners would need to generate a cumulative $8.5 trillion in revenue to cover announced capital spending, financing costs, and a 12% return on invested capital (ROIC), which we assume to be the hurdle rate of investment capital,” said Sommer. “However, total enterprise and consumer AI revenue that can be attributed to AI data centers during this period is forecast to reach no more than $3.6 trillion. Because most AI-native providers operate asset-light business models, we predict that less than half of AI revenue will be earned by providers that own significant AI infrastructure.”
Neoclouds, cloud providers focused on AI and providing GPU-as-a-Service (GPUaaS), are expected to bear the brunt of the shortfall.
“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 Sommer.
As a result, Gartner predicts that more than 80% of neocloud providers will cease independent operations by 2030.