IBM's second-quarter performance has been impacted. The company disclosed a sharp shift in customer capital expenditure priorities in late June, with some budgets abruptly moving from software and mainframe areas towards hardware resources with tightening supply, such as servers, storage, and memory. This led to the failure of several large deals to close within the quarter. Consequently, Q2 revenue fell significantly short of market expectations.
In a public letter to investors on Tuesday, CEO Arvind Krishna stated that preliminary Q2 revenue was $17.2 billion, approximately 4% below the analyst consensus estimate of around $17.9 billion. He admitted that the company failed to timely capture the shift in customer purchasing patterns, resulting in some critical transactions not being finalized before the quarter's end.
Following the announcement, IBM's stock price plummeted, with pre-market losses at one point exceeding 20%. If this decline persists into the regular trading session, it could mark the largest single-day drop since the "Black Monday" crash of 1987. The ripple effects quickly spread to the enterprise software and cloud services sector, with Accenture falling about 6%, ServiceNow down approximately 4.5%, and Microsoft also declining nearly 2%.
Client Budgets Shift to Hardware, Pressuring Software and Mainframe
Krishna noted that in the final weeks of June, a noticeable shift occurred in customers' quarterly capital expenditure strategies. Some enterprises began prioritizing procurement of infrastructure hardware like servers, storage, and memory to prepare for potential future price increases and supply constraints.
This change directly affected IBM's software and infrastructure segments. Preliminary company data shows Q2 software revenue grew 5% year-over-year, while consulting revenue was essentially flat (up 1% at constant currency). However, infrastructure revenue declined 7% year-over-year, a performance notably weaker than the market's previous expectation of a low single-digit decline for the full year.
IBM had previously anticipated that the z17 mainframe product cycle would be a significant growth driver for the infrastructure business, but actual results fell short. Krishna indicated that weak performance from the z platform and its related software ecosystem, particularly transaction processing software sales, was a key reason for the quarterly shortfall.
He emphasized that the delay in closing multiple large deals was the primary factor behind the earnings miss, not a disappearance of customer demand. However, the market will remain focused on subsequent quarterly data to determine whether these orders are merely postponed or if a more profound shift in corporate technology budgets is underway.
z17 Launch Underwhelms, Testing IBM's Infrastructure Transition
This earnings volatility is particularly sensitive for IBM. The company had viewed the z17 mainframe launch as one of its most significant product cycles in recent years, hoping it would drive growth across hardware, software, and service ecosystems.
But the Q2 performance indicates that enterprise clients, amidst the AI infrastructure investment boom, are reallocating their IT budgets. Some funds are flowing towards computing power equipment, storage, and supply chain resources, while investments in traditional enterprise software and mainframe-related areas are being squeezed.
Krishna stated that while the company had anticipated supply chain impacts on customer procurement, it underestimated the magnitude of the reprioritization within customer capital expenditures. Additionally, the rapidly evolving cybersecurity landscape has recently diverted some customer management attention, affecting purchasing decisions.
Market Reexamines AI Transformation Thesis
Over the past few years, IBM has been striving to shed its traditional hardware and mainframe business label, accelerating its transition towards an enterprise software and AI infrastructure services provider through acquisitions like Red Hat, HashiCorp, and Confluent.
The company had previously argued that artificial intelligence would not weaken IBM's business but would instead drive increased customer demand for its infrastructure software, enabling enterprises to connect and manage different AI models more efficiently.
However, this earnings warning has reignited market concerns about the structure of corporate technology spending. In February, IBM's stock had already faced pressure after AI startup Anthropic launched a tool to help modernize legacy programming languages on IBM mainframes.
The below-expectations Q2 performance further intensifies market skepticism: as AI infrastructure construction enters a high-investment phase, are corporate IT budgets shifting from mature software products towards hardware resources like computing power and storage? If this trend persists, both IBM's software growth narrative and its AI transformation path will face renewed scrutiny.

