IBM misses Q2 targets as clients rush to hoard AI infrastructure

IBM's pre-announcement, released a week ahead of its scheduled July 22 earnings date, marks a significant moment in how enterprise technology spending is reshaping around AI. The company's revenue growth of just 1% year over year reversed the strong 9% growth IBM posted in the first quarter, when its new z17 mainframe drove infrastructure revenue up 15%. Krishna had already expected mainframe momentum to fade, but the company did not anticipate the magnitude or the specific direction of the shift: clients were not pulling back on technology spending in general—they were redirecting it urgently toward hardware.

The irony is that IBM's own business lines reveal exactly where that redirected money landed. While the company's software business grew only 5% and consulting was flat, distributed infrastructure surged 37% year over year. This pattern repeats at much larger scale across the memory-chip market: Micron Technology, one of the world's largest memory-chip makers, reported revenue up 346% year over year with DRAM selling prices more than doubling, and the company attributed the acceleration to AI-driven demand for memory and storage outpacing supply.

What this signals is a phase shift in the AI buildout itself. The cycle is no longer confined to hyperscalers (large cloud providers) making massive capital bets in their own data centers. Mainstream enterprises—the customers IBM depends on for consulting and software deals—are now competing for the same constrained hardware supplies and willing to defer other technology projects to lock in AI infrastructure before prices rise. For vendors like IBM whose revenue depends on large deals closing on predictable timelines, this creates a new risk: customer budgets are being commandeered by urgent hardware procurement, pushing other purchases into the future or off the table entirely.