
IBM pre-announced a second-quarter miss, with revenue of $17.2 billion(約2.8兆円) rising only 1% year over year, and attributed the shortfall to clients abruptly shifting budgets in late June to stockpile servers, storage, and memory ahead of price increases.
The news reveals that AI infrastructure demand is so intense that mainstream enterprises are now competing with cloud providers for supply-constrained hardware, diverting money from other technology spending.
Memory-chip maker Micron reported $41.5 billion(約6.6兆円) in revenue (up 346% year over year) in its most recent quarter, showing where those corporate technology budgets are flowing.
What happened
IBM reported second-quarter revenue of $17.2 billion(約2.8兆円), up just 1% year over year and below expectations, prompting a 24% single-day stock drop on Tuesday. CEO Arvind Krishna attributed the shortfall to clients abruptly shifting spending in late June toward servers, storage, and memory to secure supply-constrained hardware ahead of expected price increases, causing large deals to slip.
Why it matters
The pre-announcement reveals that AI infrastructure demand is so strong that ordinary enterprises are now competing with cloud giants for the same hardware, pulling money from other technology budgets to lock in supplies. This shows the AI buildout has moved beyond cloud providers to mainstream corporate IT spending, with real budget constraints and trade-offs across technology vendors.
What to watch
IBM's July 22 earnings call will clarify whether the slipped deals are merely delayed or permanently lost; the company had guided for more than 5% constant-currency revenue growth in 2026, and whether that outlook survives will signal whether this quarter was a timing issue or a bigger problem. Meanwhile, memory-chip makers like Micron are capturing that demand: Micron reported $41.5 billion(約6.6兆円) in revenue (up 346% year over year) in its most recent quarter, with DRAM selling prices more than doubling.
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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.
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