IBM’s AI Strategy Faces New Test After Surviving February Scare

International Business Machines Corporation (NYSE:IBM) stock dropped 25% on July 14, marking the worst single day for the company since records began in 1968. The drop surpassed the previous record decline set on October 19, 1987. By the end of the week, IBM’s total market value sat just under $200 billion, driven by weak second-quarter projections that caught Wall Street off guard.

Why IBM’s Revenue Missed Wall Street Expectations

IBM reported preliminary second-quarter earnings of $2.93 per share on $17.2 billion in revenue, falling short of FactSet consensus estimates of $3.01 per share and $17.86 billion in revenue. In a letter to investors, CEO Arvind Krishna explained that corporate clients shifted their IT spending away from traditional IBM infrastructure in late June. Instead of buying IBM servers, storage, and memory products, companies diverted capital toward AI hardware to beat expected price increases. Krishna noted that while IBM anticipated some budget reallocation, the scale of the shift exceeded internal forecasts, and several large enterprise deals failed to close before the quarter ended.

Anthropic Mythos AI and Cybersecurity Spending Pauses

Beyond hardware budget shifts, broader artificial intelligence developments are stalling enterprise software pipelines. Speaking to CNBC, CEO Arvind Krishna stated that the release of Anthropic’s Mythos AI model has caused corporations to hit pause on cybersecurity spending. Businesses are holding back capital to evaluate what security architecture they actually need in an AI-driven environment, creating deal bottlenecks that directly impact IBM’s sales cycle.

Comparing the February Cobol Scare to the Current Market Crash

This downturn mirrors an artificial intelligence scare earlier in the year. In February, the release of an Anthropic tool capable of rewriting old Cobol computer code sparked investor panic over IBM’s legacy software business, triggering the stock’s worst single-day drop in 25 years. At the time, Krishna insisted that markets were overreacting. His assessment proved accurate as the stock rebounded to new highs by June. However, the current 25% drop is significantly steeper, leaving analysts divided over whether the market is panicking again or finally pricing in structural headwinds that Krishna has not acknowledged.

The Bull Case: Strong Software Sales and Quantum Computing Bets

Supporters of International Business Machines Corporation point to underlying business health preceding the crash. During the first quarter of the year, software sales grew 11% to $7.05 billion, and IBM outperformed expectations on both top and bottom lines. Furthermore, delayed enterprise contracts represent deferred revenue rather than lost business. Options market data reflects this ambiguity; immediately following the crash, the cost of betting on large price swings in IBM stock hit one of its highest levels ever—surpassing levels seen during the 2022 interest rate shock—indicating that traders expect high volatility rather than total failure.

Looking toward long-term growth, IBM is collaborating with the U.S. Commerce Department to establish a quantum computing chip factory. Krishna set a target to deliver the company’s first large working quantum computer by 2029, drawing comparisons to how Nvidia Corporation (NASDAQ:NVDA) created new markets through specialized AI silicon.

The Bear Case: AI Budget Cannibalization and Software Sector Pain

Skeptics argue that IBM’s troubles reflect a systemic squeeze across the enterprise software industry. According to Bloomberg data, Salesforce and ServiceNow—both categorized as AI “outsiders”—have each shed about a third of their market value this year, with Workday and SAP projected to face similar headwinds. Software stocks are trading cheaply compared to historical averages, whereas computer chip stocks have climbed 62% and cybersecurity stocks are up 46% as of July 17, sitting at record highs.

Strategist Brian Mulberry summarized the dynamic, noting that corporate buyers still demand IBM’s offerings but lack residual capital after exhausting their IT budgets on AI infrastructure. Regarding the quantum computing initiative, industry critics question whether the technology can generate commercial revenue before Krishna’s 2029 deadline, with some experts projecting a timeline ten years out.

Institutional Ownership and Hedge Fund Sentiment on IBM

Data from Insider Monkey’s hedge fund database shows that 59 hedge funds held IBM stock at the end of the first quarter of 2026, down from 63 in the preceding quarter and prior to the July market correction. By contrast, Microsoft Corporation (NASDAQ:MSFT) counted 282 hedge fund holders during the same period, demonstrating that institutional enthusiasm for IBM was subdued even before the earnings miss.

Frequently Asked Questions

Why did IBM stock drop 25% on July 14?

IBM shares suffered a record single-day decline after the company issued a weak second-quarter revenue warning, citing customer budget reallocations toward AI hardware and delayed enterprise contract closures.

What did CEO Arvind Krishna say about AI disruption?

Arvind Krishna maintained that enterprise demand for IBM software remains insulated, stating, “We don’t see our software being disrupted by AI at all.” However, he acknowledged that AI advancements like Anthropic’s Mythos model are causing temporary pauses in cybersecurity spending.

How does IBM’s quantum computing strategy compare to its current struggles?

IBM is partnering with the U.S. Commerce Department to build a quantum chip facility with a target of a large working quantum computer by 2029, though skeptics question the timeline for commercial monetization.