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This article centers on the financial impact of generative AI adoption specifically within IBM's mainframe infrastructure and enterprise data center markets. While it discusses general business metrics like stock performance and revenue misses, the core narrative explains how a shift in corporate hardware budgets toward alternative solutions—driven by an AI boom—is directly suppressing sales for legacy high-performance computing systems essential to large-scale machine learning operations.
After shocking quarter, IBM insists that AI isn’t killing the mainframe

After IBM's stock crashed last week on warnings of poor mainframe sales, the CEO explained that AI wrecked corporate hardware budget, temporarily.
On Wednesday, IBM officially reported earnings and the news was as bad as everyone knew it would be. While the 115-year-old company still generates boatloads of cash — $17.2 billion in revenue, $9.9 billion in gross profit, nearly 58% margins, and $2.2 billion in net earnings for the quarter…
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