Earnings Warning Exposes Growing Divide Across the AI Technology Market

July 14, 2026 11:00:01

✎ Contributed by Ty Griffin

International Business Machines Corp. shares plunged more than 25% after the technology company released preliminary second-quarter results that missed Wall Street expectations. Adjusted earnings reached $2.93 per share on revenue of $17.2 billion, falling short of analysts’ projections for earnings of $3.01 per share and revenue of $17.86 billion.

Chief Executive Officer Arvind Krishna attributed the shortfall to weakness in the software and infrastructure businesses as customers redirected capital toward servers, storage and memory products amid supply concerns and anticipated price increases. The warning intensified questions about artificial intelligence’s impact on established software companies while highlighting strong demand for the hardware required to support expanding AI workloads.

Market Reaction

  • International Business Machines Corp. (NYSE: IBM): $215.37, down $74.99 (25.83%)
  • SK Hynix Inc. (NASDAQ: SKHY): $179.29, up $26.94 (17.68%)
  • Micron Technology Inc. (NASDAQ: MU): $980.45, up $43.45 (4.64%)
  • Oracle Corp. (NYSE: ORCL): $128.69, down $3.17 (2.40%)
  • Microsoft Corp. (NASDAQ: MSFT): $384.61, down $6.38 (1.63%)

Investor Sentiment

The contrasting market reaction reflects a widening divide within the technology sector as customers prioritize the physical infrastructure needed to deploy artificial intelligence. Strong gains among memory producers suggest investors expect supply constraints and accelerating hardware purchases to support pricing and revenue growth, even as some enterprise software providers face delayed contracts and greater scrutiny.

Investors remain focused on whether AI tools will strengthen established software platforms or reduce demand for portions of their existing product portfolios. Future earnings reports will be closely examined for signs of continued capital-spending shifts, while software companies will face pressure to demonstrate that their AI offerings can generate enough growth to offset implementation costs, competitive risks and slower purchasing decisions.

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