IBM Warns AI Infrastructure Spending Is Pressuring Software Budgets

IBM warned investors that client spending shifted toward AI-related infrastructure in the second quarter, contributing to preliminary results below Wall Street expectations.

IBM points to a budget shift

In a July 14 letter to investors, IBM chief executive Arvind Krishna said the company’s preliminary second-quarter 2026 results were hurt by clients moving quarterly capital expenditure toward servers, storage and memory purchases. IBM said that shift caused a shortfall in its software and infrastructure performance, according to the company’s investor letter.

The Associated Press reported that IBM projected second-quarter revenue of $17.2 billion and adjusted earnings of $2.93 per share. AP said both figures were below FactSet expectations, and it also cited IBM’s explanation that clients had redirected spending toward servers, storage and memory.

The warning is significant because IBM sits across multiple enterprise technology categories, including software, consulting and infrastructure. Its results therefore offer a view into how some corporate technology buyers are prioritizing budgets as AI workloads require more computing capacity.

Shares fall as investors reassess software exposure

Reuters, in a report carried by MarketScreener, said IBM shares fell 25% after the warning. Reuters described the move as part of a broader sector rout, with investors reacting to evidence that businesses were diverting spending away from software and toward data-center infrastructure.

Reuters also reported that other software-linked companies, including Microsoft, ServiceNow, Salesforce and Intuit, traded lower. The report framed IBM’s update as a sign that the AI boom may be squeezing budgets for some traditional enterprise software purchases, rather than lifting all technology vendors equally.

Axios similarly described IBM’s update as an “AI-economy” spending shift, noting that budgets appear to be moving from conventional software toward AI tokens and data centers. Axios reported that IBM’s stock plunged more than 25% after the investor letter.

AI demand is not benefiting every technology category evenly

The reports point to a widening distinction inside enterprise technology spending. Demand for AI systems can increase the need for servers, storage and memory, but the same spending cycle may limit near-term budgets for software upgrades or other applications.

IBM’s own explanation focused on client capital expenditure decisions during the quarter. The company did not describe the issue as a collapse in AI demand; rather, it said customers were prioritizing hardware-heavy purchases that support AI and data-center capacity.

That distinction matters for investors and enterprise vendors. Companies tied directly to AI infrastructure may see stronger demand when organizations expand computing capacity. By contrast, vendors selling traditional application software may face slower purchasing decisions if customers allocate limited budgets first to infrastructure.

A cautionary data point for enterprise AI spending

IBM’s preliminary results do not prove that all software vendors will face the same pressure. They do, however, provide a concrete example of how AI investment can redistribute spending within corporate technology budgets.

AP’s report showed the immediate financial impact on IBM’s expected quarter, while Reuters and Axios placed the update in the broader context of software shares coming under pressure. Together, the sources suggest that the enterprise AI cycle is becoming more selective: customers are still spending, but not necessarily in the categories that benefited most from earlier software upgrade cycles.

For IBM, the next question is whether the shortfall reflects a temporary timing issue or a longer change in how clients fund AI projects. For the broader market, the warning underscores that AI adoption can create winners and losers inside the same technology budget.