Preliminary quarterly sales results from legacy U.S. tech giant IBM (IBM.US), which carries the dual banners of artificial intelligence and quantum computing, fell short of Wall Street analyst consensus expectations when released Tuesday pre-market. The company's CEO, Arvind Krishna, stated that clients are significantly tightening spending, attributing the miss to a large-scale shift in client expenditure toward chips and servers. Following the disappointing preliminary results, the tech behemoth, with a market cap nearing $300 billion, saw its shares plummet over 20% in pre-market trading, dragging down the broader U.S. tech sector, particularly stocks focused on AI application software and AI computing infrastructure.
In a preliminary earnings statement Tuesday, IBM indicated it expects second-quarter revenue of approximately $17.2 billion, compared to the Wall Street analyst average estimate of around $18.0 billion compiled by institutions. The statement showed that sales in the company's Infrastructure business segment were hit especially hard, unexpectedly declining by about 7%. The company stated it is still finalizing its accounts and final results may differ slightly.
Krishna stated that clients are broadly shifting capital expenditure toward AI servers, enterprise NAND storage chip equipment for data centers, and high-performance DRAM memory components to cope with industry-wide supply shortages, thereby reducing their spending and budgets on the company's software products. "These environments require our teams to execute flawlessly, and this quarter we fell short," Krishna said. "Our adjustments and actions were not fast enough, and several large deals did not close within the timeframes we expected, accounting for the majority of this performance shortfall."
IBM's disappointing results highlight that AI computing hardware is currently "siphoning" off corporate IT budgets in a cyclical manner, reigniting talk of a "software stock apocalypse." It also dragged down software stocks like ServiceNow and Oracle, proving that corporate budgets are indeed shifting from the "application layer" toward the foundational "computing base." However, IBM's missteps also included poor sales execution and the failure of large deals to close on schedule, which cannot be entirely blamed on AI substitution. The more likely scenario is that software with low barriers to entry, charged per seat, and easily replicated by AI agents will face pressure, while software that controls core data, workflows, compliance, security, and infrastructure management capabilities gains stronger pricing power.
Potential for Largest Single-Day Drop in Decades, Workday and ServiceNow Also Under Pressure
Before the New York Stock Exchange opened, the company's shares plunged over 21% in pre-market trading. If this decline holds, it would mark the stock's largest single-session intraday drop since the 1980s. The results also weighed on other popular tech companies, with Workday shares falling over 8% pre-market and ServiceNow shares dropping about 7.7%.
The hit to IBM's hardware sales could hinder its efforts to reinvent itself as a high-growth software company through major acquisitions like Red Hat, HashiCorp, and Confluent. Even the company's new strategic focus makes it a subject of investor concern, as investors worry AI tools will replace many existing software products. In February, after AI startup Anthropic PBC released a tool that could help modernize an outdated programming language on IBM mainframes, the company's stock experienced a significant sell-off.
IBM CEO Arvind Krishna stated the company had previously anticipated supply chain issues would drag on performance. The AI boom-induced shortage of memory chips has had ripple effects across global manufacturing. However, he said the company failed to foresee that clients would ultimately shift spending from IBM products on a large scale toward servers, storage, and memory purchases to hedge against the risk of further price increases. "The reality was worse than we expected, we miscalculated," Krishna said in a letter to investors, adding that the company's Z-series mainframes and their associated popular software constituted a large part of the performance gap. "These environments require our teams to execute flawlessly, and this quarter we fell short. Our adjustments and actions were not fast enough, and several large deals did not close within the timeframes we expected."
The company also preliminarily reported that diluted earnings per share likely fell approximately 2% to $2.27. Like most software vendors, IBM has fully integrated cutting-edge AI technology into its products and touts its ability to provide clients with the latest tech. The company has been trying to convince investors that AI will strengthen its business, not replace it. IBM executives have repeatedly stated that AI-related work will increase demand for the company's underlying infrastructure software for AI applications, which allows customers to use leading AI models.
AI Capital Expenditure Migration Begins, Tech Stocks Face "Earnings Must Be Perfect" Stress Test
The core implication of IBM's warning is that its technological narrative around AI and quantum computing has not yet sufficiently translated into real revenue and order execution capabilities resilient to quarterly fluctuations. Preliminary Q2 sales of only $17.2 billion fell short of market growth expectations of around $18.0 billion. This contrasts with Q1, where IBM revenue grew 9% to $15.92 billion and software sales grew 11.3%. This discrepancy indicates the market's previous valuation of the company as a "high-growth software company" leaves little room for error.
More notably, management simultaneously acknowledged clients are prioritizing budgets for servers, storage, and memory, and that IBM itself failed to adjust its sales strategy promptly, with multiple large deals delayed. This means the performance gap stems from both external budget migration and internal execution errors, and cannot be simply attributed to the macro environment.
For IBM, quantum computing remains a strategically valuable but long-term commercial-return option; it cannot replace the growth responsibility of Red Hat, automation, data infrastructure, consulting, and mainframe software in the current profit statement. IBM has announced plans to invest over $10 billion in quantum computing over the next five years, aiming to build a large-scale fault-tolerant quantum computer by 2029. However, what capital markets currently need to verify is not the technology roadmap itself, but whether the company can leverage hybrid cloud, AI governance, data orchestration, and mission-critical infrastructure to translate corporate AI investment into sustained software subscriptions, consulting sales, and free cash flow.
AI is a double-edged sword for IBM: it can increase corporate demand for infrastructure software, security, and model management, but it is also compressing man-hours for traditional code maintenance, consulting, and system modernization. Tools for modernizing legacy code released by companies like Anthropic have already prompted investors to reassess the economic moat of IBM's mainframe ecosystem.
IBM's preliminary earnings miss could lead to further budget reallocation and valuation divergence within the tech sector: clients scrambling for servers, memory, and storage validates demand for semiconductors, server manufacturers, and data center supply chains, but will temporarily squeeze spending on traditional software, consulting, and deferrable digital projects. Therefore, IBM acts more as an alarm bell for the enterprise software and IT services segment, rather than evidence of a collapse in overall AI industry demand. The truly dangerous signal would be simultaneous cuts in capital expenditure by cloud providers like Microsoft, Amazon, and Google, or a simultaneous weakening in orders for servers, HBM, and networking equipment—a combination not yet observed.
The market expects S&P 500 Q2 profit growth of over 23%, with tech sector profit growth exceeding 65%. Therefore, the biggest current risk is not a lack of growth, but that growth must continuously surpass already lofty expectations. IBM's slowdown is more likely to act as a catalyst for a cyclical pullback in high-valuation tech stocks and a style rotation toward "selling software, buying hardware," rather than triggering a systemic crash in global tech stocks alone. The latest Bank of America survey shows fund managers' cash allocations have fallen to 3.6%, with the Bull & Bear Indicator reaching an extremely optimistic level of 9.4, indicating the market was already crowded with thin buffers to withstand negative surprises. In such an environment, if a company merely delivers "good but not perfect" results, its decline can be significantly amplified.
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