AI math isn't mathing: infrastructure spending forecast to outstrip expected revenue
Analyst predicts 80 percent of neoclouds will disappear as standalone businesses by 2030
A new report from Gartner indicates that investments in AI infrastructure may not be adequately covered by the revenue generated by AI-driven applications over the next several years. According to the analysis, AI providers are projected to spend nearly $1 trillion on AI infrastructure in 2026 and an additional $6 trillion between 2027 and 2030.
However, the revenue generated by enterprise and consumer AI applications is expected to be insufficient to cover all planned AI capital expenditures during this period. Gartner estimates that AI datacenter operators would need to generate a total of $8.5 trillion in revenue to achieve a 12% return on invested capital, but forecasts that the total revenue from AI datacenters will only amount to $3.6 trillion.
This revenue shortfall could force operators to write down assets and result in a shake-out of AI infrastructure service providers. Neocloud operators, which specialize in GPU-as-a-service AI compute, are expected to be the hardest hit, with 80% projected to exit the market by 2030. Some companies, such as hyperscalers with diversified businesses, are expected to better withstand the shake-out.
The report highlights growing concerns in the financial markets about the amount of capital being invested in AI and potential profitability threats from open-source and Chinese models.
Written by urgent.news from The Register's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
