AIToday

IBM stock crashes 25% after CEO admits execution failure

Fortune AI2h ago
IBM stock crashes 25% after CEO admits execution failure

Key takeaway

IBM shares crashed 25% on Tuesday—the worst single-day drop in 115 years—after CEO Arvind Krishna admitted the company failed to adapt quickly enough and that major customer deals were delayed. Enterprises are redirecting spending toward AI infrastructure and away from IBM's traditional mainframe business, hitting both hardware and software revenue simultaneously. While analysts expect the delayed deals to eventually close, the shift underscores IBM's vulnerability to changing enterprise IT priorities.

Summaries like this, in your inbox every morning.

Sign up free →

3 Key Points

  • What happened

    IBM shares fell 25% on Tuesday, the worst single-day decline in the company's 115-year history, after CEO Arvind Krishna wrote to investors that IBM "did not adapt and move quickly enough" and that "numerous large deals failed to close on the timelines we expected." Krishna cited weakness in software and infrastructure businesses driven by a shift in client activity and late-quarter delays in client transactions.

  • Why it matters

    Enterprises are redirecting spending toward AI infrastructure (servers, storage, memory) and away from IBM's traditional mainframe upgrades and infrastructure projects. This squeeze hits IBM's revenue on both sides: mainframe hardware sales typically trigger direct software revenue, so the delay in hardware deals also dampens software earnings. Analysts note that IT budgets are growing but price increases for AI-related costs are outpacing budget growth, forcing companies to defer projects they believe can wait—including the legacy infrastructure and consulting work IBM depends on.

  • What to watch

    Krishna, who took over as IBM CEO in 2020, has repositioned the company around "AI and hybrid cloud." Analysts note that hybrid cloud is positioned to benefit from AI adoption, while mainframes and project-based services face near-term pressure. IBM is scheduled to report full results next Wednesday.

In Depth

IBM's stock fell 25% on Tuesday, marking the worst single-day decline in the company's 115-year history, following a surprise earnings miss and an unusual letter from CEO Arvind Krishna to investors. In the letter, Krishna acknowledged that "we did not adapt and move quickly enough, and numerous large deals failed to close on the timelines we expected," citing weakness in IBM's software and infrastructure businesses.

The shortfall stemmed from a shift in customer behavior, with a late-quarter change in client activity causing several large transactions to slip into future quarters. This delay has cascading effects across IBM's business model. According to Holger Mueller, VP and principal analyst at Constellation Research, the delays show the "AI pull" in enterprise markets—companies are deferring mainframe upgrades and purchases, IBM's traditional bread and butter, in favor of other platforms. Mueller emphasized that this is rare for critical infrastructure, underscoring the intensity of enterprise focus on AI spending. The challenge is compounded by IBM's revenue structure: mainframe hardware sales typically drive software revenue, so delays in hardware deals simultaneously delay software earnings, creating what Mueller called a "double" impact.

Broader patterns in enterprise IT confirm this shift. Shay Boloor, chief market strategist at Futurum, noted that companies are prioritizing scarce hardware—servers, storage, and memory—ahead of expected price increases, while delaying projects they believe can wait. This pressure is hitting IBM's consulting, transformation projects, and legacy infrastructure particularly hard. Patrick Moorhead, CEO and chief analyst at Moor Insights & Strategy, added that enterprises are squeezed by rising AI-related costs: "IT budgets are growing but price increases are growing more quickly than budgets," he said, forcing companies to cut other expenses. IBM is exposed on both sides of this shift—its hybrid cloud business may benefit from AI adoption, but mainframes and project-based services face near-term headwinds.

Krishna, who became IBM CEO in 2020, has worked to reposition the company around "AI and hybrid cloud" to modernize and compete in a rapidly evolving market. Moorhead offered some reassurance, noting that "IBM's technology is strategic and can't be held off for long periods of time and will bounce back," suggesting that delayed deals are deferrals rather than permanent losses. IBM declined to comment beyond its earnings statement and is scheduled to report full results the following Wednesday.

Context & Analysis

IBM's crash reflects a fundamental reprioritization in enterprise IT spending driven by the rise of AI. Analysts describe a shift where companies are diverting capital expenditure from IBM's core mainframe and legacy infrastructure business to newer AI-focused platforms and infrastructure—a rare occurrence, since mainframes are considered critical infrastructure. The timing is particularly damaging because multiple large deals slipped into future quarters simultaneously, compressing revenue recognition.

The squeeze on IT budgets is acute: while overall budgets are growing, price increases for AI-related infrastructure are climbing faster than budget growth, forcing enterprises to defer discretionary or lower-priority projects. This dynamic hits IBM across multiple vectors at once. Project-based consulting and transformation services face pressure as companies delay work they deem non-urgent, and hardware delays cascade into software revenue loss. CEO Krishna's admission—unusual in its candor—acknowledges both external market shifts and IBM's own execution challenges, suggesting the company was caught off-guard by the speed and breadth of customer reprioritization.

FAQ

What did CEO Arvind Krishna say caused the earnings miss?
Krishna wrote that "numerous large deals failed to close on the timelines we expected" due to a late-quarter shift in client activity and weakness in IBM's software and infrastructure businesses driven by changing client priorities.
Why does a delay in hardware sales hurt IBM's software business too?
Mainframe sales typically trigger direct software revenue; when hardware deals slip, the associated software revenue is delayed as well, creating a double impact on IBM's earnings.
What are enterprises spending on instead of IBM's mainframe upgrades?
Companies are redirecting capital toward servers, storage, and memory as they prioritize AI-related infrastructure, and some are delaying projects they believe can wait while managing rising AI-related costs.

Discussion

No discussion yet for this article

Stay ahead with AI news

Get curated AI news from 200+ sources delivered daily to your inbox. Free to use.

Get Started Free

Free · takes 30 seconds · unsubscribe anytime

1 minute a day. The AI essentials.

200+ sources · Email / LINE / Slack

Get it free →