The composition of the number is the story. Not $2.52 trillion as a headline, that figure is large enough to be hard to reason about directly. What matters is that Gartner estimates AI infrastructure alone will account for $1.37 trillion of that total, making it the largest single spending category ahead of software, services, and applications.
According to Gartner projections reported by AI CERTs, AI is expected to represent approximately 41 percent of all new technology spending in 2026. That’s an analyst estimate, Gartner’s direct report hasn’t been accessed for this brief, and a Wire follow-up is requested for the specific report name and direct citation. These figures should be understood as Gartner’s projections, not confirmed market data.
That caveat noted, the directional signal aligns with what the rest of this day’s markets coverage confirms at the company level. Oracle is reportedly restructuring tens of thousands of jobs to fund data center capacity. Nscale just closed a $2 billion round for AI infrastructure. Both are company-level signals pointing toward the same infrastructure-first investment thesis that Gartner is describing at the macro level.
For enterprise AI strategy teams, the $1.37 trillion infrastructure figure is the planning number. If Gartner’s estimate is in the right range, AI infrastructure spending in 2026 will exceed the entire enterprise software market of just a few years ago. Decisions about compute access, cloud contracts, and infrastructure partnerships aren’t just IT choices in that environment, they’re strategic ones.