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Recently, IBM (NYSE:IBM) experienced its most significant single-day stock decline in over 25 years following the launch of Claude Code by Anthropic, an AI tool designed to automate the modernization of COBOL systems. This development has set off widespread discussions regarding the potential impact of AI tools on IBM’s longstanding mainframe and consulting services, particularly in relation to legacy COBOL applications.
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The news sparked broad debate about how AI tools could affect IBM’s long standing mainframe and consulting work tied to legacy COBOL applications.
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IBM is responding with its own modernization offerings and partnerships, as investors reassess the durability of a key revenue pillar.
At present, IBM’s shares are priced at $242.01, following a 17.6% drop over the past month and a 17.0% decline year-to-date. In contrast, the stock has yielded a remarkable 108.1% return over the last three years and an impressive 157.5% return over five years, offering context as the market grapples with new pressures related to AI on its fundamental business.
For investors monitoring NYSE:IBM, the launch by Anthropic underscores the swift encroachment of AI tools into traditionally IBM-dominated domains, such as large-scale COBOL modernization projects. The critical question now revolves around how effectively IBM can deploy its offerings and partnerships to maintain the relevance of its established mainframe and consulting relationships amidst emerging alternatives.
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For current and potential investors, the steep one-day decline in IBM’s shares appears less a judgment on recent performance and more a rapid re-evaluation of expectations concerning AI competition. The selloff was prompted by concerns that Anthropic’s Claude Code might shorten multi-year COBOL modernization projects—traditionally involving IBM mainframes and consulting services—into less lucrative, shorter engagements. Despite this, IBM has secured new contracts, including a $112 million ceiling agreement with the Department of War’s Defense Commissary Agency, and is expanding its AI collaborations, like integrating Deepgram’s voice capabilities into watsonx Orchestrate. This juxtaposition of strong recent operational performance against the stock’s reaction suggests that investor sentiment is influenced more by perceived disruption risks than by a decline in demand. Analyst opinions are varied; some believe the AI-related fears are exaggerated, while others caution that volatility may continue until more definitive evidence emerges regarding software growth, cash flows, and the effects of Claude Code on client behaviors regarding mainframe workloads.