aiexpert
Home / News / Brief
Market · Jul 15, 2026, 12:03 AM · 4 sources

IBM Q2 Miss: Clients Rush Memory, Delay Software Deals as AI Scarcity Spreads

IBM warned of preliminary Q2 2026 revenue of $17.2 billion, missing the $17.86 billion consensus, with adjusted earnings of $2.93 per share below the expected $3.01. The stock dropped as much as 23% before market open. CEO Arvind Krishna attributed the shortfall to clients redirecting quarterly capital spending toward servers, storage, and memory purchases in the final weeks of June to secure supply-constrained infrastructure ahead of expected price increases.

Infrastructure revenue fell 7%, driven by lower mainframe sales and software attached to the Z stack, particularly Transaction Processing. The miss reveals a budget reallocation, not a slowdown in AI demand: software revenue still grew 5%, consulting held flat, but clients prioritized locking in hardware before memory prices climbed further. A 7% infrastructure decline across a $270 billion enterprise signals that memory and storage shortages are now rippling through enterprise software budgets.

For architects: this is the first hard evidence that DRAM scarcity—long treated as a supply-chain problem with a 2028 ending—is now propagating upstream into discretionary spending. When the CFO's hardware order is due this week, the ERP upgrade waits. Watch for similar dynamics across cloud providers and chipmakers; expect continued price volatility and procurement delays through 2027.

Sources

Everything this brief rests on
  1. 01 Primary source qz.com
  2. 02 qz.com qz.com “CEO Arvind Krishna attributed the shortfall to clients redirecting capital spending toward servers, storage, and memory purchases, at the expense of software and consulting budgets”
  3. 03 forbes.com forbes.com “Infrastructure revenue dropped 7% as clients prioritized acquiring compute, storage, and memory amid supply constraints”
  4. 04 businessmodelanalyst.com businessmodelanalyst.com “Clients spent their budget on memory chips instead of software. The AI shortage just hit enterprise IT.”