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IBM Insists AI Isn't Killing the Mainframe After Shocking Quarter
hardware#IBM#mainframe#artificial intelligence#enterprise hardware#tech earnings

IBM Insists AI Isn't Killing the Mainframe After Shocking Quarter

23 July 2026Β·TechCrunchΒ·πŸ€– Summarized by Sovin AI

IBM's stock took a major hit last week after the company warned of poor mainframe sales, rattling investors. CEO Arvind Krishna explained that AI spending has temporarily cannibalized corporate hardware budgets, but insists the mainframe remains vital for enterprise computing.

IBM suffered a significant stock drop last week after issuing warnings about weaker-than-expected mainframe sales figures for the quarter. Investors reacted swiftly, sending share prices tumbling as concerns mounted about the relevance of the company's flagship hardware in an AI-dominated landscape. The poor results sparked widespread speculation that artificial intelligence could be signaling the end of the mainframe era.

However, IBM CEO Arvind Krishna pushed back firmly against that narrative during post-earnings discussions. He argued that the dip in mainframe sales is not a sign of long-term structural decline, but rather a temporary consequence of enterprises redirecting their IT budgets toward AI infrastructure and tooling. In short, companies are spending on AI now and deferring traditional hardware refresh cycles.

Krishna noted that this type of budget disruption is not unusual during major technology transitions. As organizations complete their initial AI buildouts and integrations, IBM expects demand for mainframe hardware to rebound. The company's mainframes remain deeply embedded in the world's most critical industries, including banking, insurance, and government, where reliability and security are non-negotiable.

Looking ahead, IBM is betting that its mainframes will not just survive the AI era but thrive within it. The company has been actively integrating AI capabilities directly into its mainframe offerings, positioning them as the ideal platform for running sensitive, high-volume AI workloads at enterprise scale. IBM's message to investors is clear: the mainframe is not dying β€” it is evolving.