IBM Mainframe Sales Plunge 42% as AI Hardware Costs Redirect Budgets

IBM Posts Worst Quarter in Years as Mainframe Business Crumbles

IBM delivered its most disappointing quarterly results in recent memory this week, with the company's core mainframe business collapsing 42% and dragging down overall infrastructure revenue. The miss was so severe that CEO Arvind Krishna took the unusual step of pre-announcing preliminary results in a letter to investors last week, triggering the company's largest single-day stock decline ever at 25%.

The 115-year-old technology company still generated $17.2 billion in revenue for the quarter with nearly 58% gross margins and $2.2 billion in net earnings. But those figures fell well short of Wall Street expectations, and IBM lowered its full-year growth forecasts on Wednesday's earnings call.

The AI Boom's Unintended Casualty

According to Krishna, "tens" of customers who were scheduled to purchase new mainframes during the quarter chose to delay those investments. While that may sound like a small number, mainframe systems carry price tags ranging from hundreds of thousands to millions of dollars, with maintenance contracts and software licenses generating additional millions in recurring revenue.

The reason for the deferrals, Krishna explained, stems directly from the AI infrastructure buildout. Enterprise customers faced component cost increases of 15% to 30% for data center equipment and PCs, driven by surging demand for memory and other hardware needed for AI workloads. Major hardware vendors including Dell, HP, and Apple have all reported similar pricing pressures.

"When they were faced with that issue, then they decided to move budget to those areas where they were having that extreme price," Krishna said on the investor call.

The timing creates a cascading financial problem for IBM. CFO Jim Kavanaugh noted that the company typically earns $3 in software revenue for every $1 of mainframe hardware sold, meaning the hardware decline has downstream effects on the company's higher-margin software business.

Why it matters

IBM's quarterly stumble illustrates how the AI infrastructure race is creating zero-sum budget battles inside enterprise IT departments. As organizations scramble to build AI capabilities and absorb steep price increases on modern hardware, legacy systems—even mission-critical ones—are getting deprioritized. This dynamic could accelerate modernization efforts across the industry, or simply reveal the enduring stickiness of mainframe workloads that enterprises can't easily replace.

Management Insists the Mainframe Isn't Dead

Krishna and Kavanaugh spent much of the earnings call reassuring investors that the mainframe decline represents a temporary delay rather than permanent erosion. Krishna said some customers have already made their deferred purchases in the current quarter, and emphasized that "we see no evidence of clients moving off the mainframe."

The tech industry has predicted the mainframe's demise for decades, yet the systems continue supporting core banking, insurance, and government operations worldwide. Whether AI-driven budget pressures will finally force meaningful migration away from mainframes, or simply delay refresh cycles, remains an open question.

These details were first reported by TechCrunch.