IBM Stock Plunges 25% as Customers Divert IT Spending to AI Infrastructure Ahead of Price Hikes

Reviewed byNidhi Govil

17 Sources

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IBM shares suffered their worst single-day drop since 1972, falling 25%, after the company revealed customers redirected budgets from mainframes to servers and storage amid AI hardware panic. CEO Arvind Krishna admitted the company failed to anticipate the magnitude of the spending shift as clients rushed to secure supply-constrained infrastructure before expected price increases.

IBM Share Plunge Marks Historic Market Reaction

IBM stock experienced a catastrophic 25% single-day decline, marking the biggest drop since at least 1972, after the company issued an earnings warning that revealed how dramatically AI infrastructure demand is reshaping corporate technology budgets

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. The company took the unusual step of releasing preliminary Q2 revenue results ahead of schedule, showing revenue of approximately $17 billion—up just 1% year-over-year but significantly below the $17.8 billion to $18 billion analyst expectations

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. The market reaction was swift and severe, erasing weeks of gains that had propelled the stock up 30% in May alone.

Source: ET

Source: ET

CEO Arvind Krishna delivered a candid letter to shareholders acknowledging the company's failure to adapt quickly enough to rapidly changing market conditions. "These conditions require our teams to execute perfectly, and this quarter we faltered," Krishna wrote, admitting that "we did not adapt and move quickly enough, and numerous large deals failed to close on the timelines we expected"

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. Baird managing director Ted Mortonson characterized the results bluntly: "This a major miss that will rattle many"

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Source: Axios

Source: Axios

AI Hardware Panic Drives IT Spending Shift

The core issue driving IBM's disappointing preliminary Q2 revenue falls short of expectations centers on customers diverting IT spending away from traditional enterprise infrastructure toward AI-driven demand for computing infrastructure. Krishna explained that "in the last few weeks of June, we saw clients shift their quarterly capex spend toward servers, storage, and memory purchases to secure supply-constrained infrastructure ahead of expected price increases"

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. This shift in corporate spending toward servers and storage represents a fundamental change in how enterprises are allocating technology budgets.

While IBM had anticipated some disruption from supply chain pressures, Krishna admitted the company "did not anticipate the magnitude of the capex reprioritization"

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. The AI budgets shift has created what some are calling AI hardware panic, with companies racing to stockpile critical components before tariff-related and demand-driven price increases take effect. This dynamic has particularly benefited memory chip manufacturers, with Micron reporting an 83% gross profit margin in its latest quarter—more than double the level from a year earlier—while Nvidia maintains a 75% margin

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Mainframe Sales Decline Despite Strong Launch

The Infrastructure segment bore the brunt of the spending reallocation, with revenue falling 7% compared to analyst expectations of a low single-digit decline

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. This mainframe sales decline is particularly striking given that IBM had previously described the launch of its AI-focused z17 mainframe platform in 2025 as "the strongest launch of a mainframe generation in its history"

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. The Z platform, which processes many of the world's financial transactions and airline reservations, represents one of IBM's highest-margin businesses, making the shortfall particularly painful.

Source: SiliconANGLE

Source: SiliconANGLE

The spending shift also created a ripple effect through software revenue, which rose just 5% compared to Wall Street's expectation of 10% growth

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. Fewer mainframe deals meant weaker sales of the transaction-processing software that typically accompanies them. Red Hat, IBM's 2019 cloud acquisition and notable growth engine, managed 11% revenue growth, though this still fell short of forecasts

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Execution Issues Compound External Pressures

Beyond market dynamics, Krishna acknowledged significant execution issues within IBM's own operations. Goldman Sachs analysts flagged what they termed "company-specific execution issues," noting that numerous large deals failed to close on expected timelines

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. Krishna also pointed to clients being "distracted by rapidly evolving, industry-wide cybersecurity concerns" during the quarter, though he offered no further details on what those specific concerns entailed

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Adjusted earnings per share came in at nearly $3, below the roughly $3 consensus, while gross profit margin fell to just under 58%, down about one percentage point from a year earlier

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. The combination of weaker revenue and narrower margins drove the sharp sell-off, with HSBC downgrading IBM from hold to reduce, though Goldman maintained its 2026-2028 EPS estimates despite expecting the stock to "trade meaningfully lower"

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AI Bookings Provide Silver Lining Amid Broader Weakness

Despite the disappointing overall results, IBM reported that cumulative AI bookings have now surpassed $12 billion, suggesting sustained enterprise demand for AI consulting and infrastructure

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. The company has been investing heavily in its hybrid cloud and AI positioning, including recent partnerships with OpenAI on enterprise cybersecurity. IBM's Distributed Infrastructure business posted record reported growth of 37%, driven by Power servers and storage systems, while recent acquisitions including HashiCorp and Confluent performed strongly

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However, the preliminary results raise questions about whether AI momentum through watsonx and other initiatives can offset weakness in IBM's legacy businesses quickly enough. For investors who had bought into the thesis that IBM was finally turning a corner—with Barclays setting a $350 price target last month comparing IBM's quantum computing trajectory to Nvidia's—the earnings warning serves as a stark reminder that the transition remains uneven

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. Shares ended the day at $217, far below analyst expectations that had fueled the earlier rally.

Broader Implications for IT Sector Spending Patterns

IBM's struggles offer a warning signal for the broader IT sector about how AI infrastructure spending is beginning to crowd out other forms of technology investment. Until now, IT research firm Gartner had responded to soaring data center spending by simply raising overall IT spending forecasts, operating under the assumption that AI would add to total tech demand rather than cannibalizing existing budgets

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. IBM's experience suggests that dynamic may be changing, with finite corporate budgets forcing difficult trade-offs.

Investors reacted to the news by selling shares of other software companies including ServiceNow and Adobe, while makers of electronic devices may also face pressure as higher component prices for PCs, gaming consoles, and smartphones reduce demand

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. The situation highlights two emerging risks: timing issues could introduce unpredictability into AI infrastructure spending as companies rush purchases ahead of price increases, potentially slowing future spending as they digest what they've already bought. Additionally, rising prices mean more capital budgets flow to memory chip makers rather than translating into additional computing capacity, which could limit AI supply just as demand accelerates.

Looking ahead, IBM is banking on quantum computing to fill revenue gaps, recently announcing plans to partner with the U.S. Department of Commerce to build Anderon, matching $1 billion in federal funding to construct a quantum wafer foundry. Krishna stated IBM is "on track to deliver the first large-scale fault-tolerant quantum computer by 2029"

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. Whether these emerging technologies can offset the fundamental shift in how enterprises allocate their technology budgets remains the critical question for IBM and the broader enterprise IT sector.

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