IBM, Shares

IBM Shares Face Pressure from AI Disruption in Legacy Systems

24.02.2026 - 11:11:08 | boerse-global.de

Anthropic's new AI tool for COBOL modernization sparks a 12% IBM stock drop, raising fears over the future of high-fee IT consulting work.

IBM Shares Face Pressure from AI Disruption in Legacy Systems - Foto: über boerse-global.de

A new artificial intelligence tool has sparked investor concern over the future of IBM's core business involving legacy IT infrastructure. The focus is on whether AI-driven automation will significantly erode the traditional consulting model that has long supported the maintenance and modernization of aging, yet critical, systems.

Market Reaction to an AI Announcement

Shares of International Business Machines Corp. (IBM) came under significant selling pressure this week, declining approximately 12% over a seven-day period to trade at 191.40 euros by Tuesday. This sharp move followed an announcement from AI startup Anthropic, which introduced a specialized tool named "Claude Code." The market's reaction appeared to reflect broader anxieties about the impact of automation on established revenue streams within the IT consulting sector, with competitors like Accenture and Cognizant also experiencing downward pressure.

The Core of the Concern: Automating COBOL Modernization

The source of the market's unease lies in the specific function of Anthropic's new tool. "Claude Code" is designed to automate and accelerate the modernization of COBOL, a decades-old programming language that remains deeply embedded in essential systems across banking, aviation, and the public sector. A shrinking pool of developers proficient in COBOL, as the original generation retires, has created a complex and often lengthy modernization challenge for organizations.

Traditionally, this process has required extensive human-led consulting work: exploring codebases, analyzing dependencies, documenting workflows, and tracing execution paths. Anthropic's proposition is that its AI can perform these foundational tasks in quarters rather than the years typically demanded, potentially reducing the volume of billable consultant hours required for such projects. This strikes at a lucrative segment for IBM and other major IT consultants, where revenue is closely tied to personnel-intensive, long-term engagements.

Should investors sell immediately? Or is it worth buying IBM?

Contrasting Fundamentals with Technological Threat

The sell-off presents a notable contrast to IBM's recently reported operational strength. In late January, the company posted robust fourth-quarter 2025 results, highlighting growth in its software and infrastructure segments alongside double-digit increases in annual profit and free cash flow. Nevertheless, the event underscores a prevailing dynamic in the software and IT landscape: even the prospect of accelerated AI automation can prompt investors to reassess the durability of established business models.

The central question for investors now is whether tools like "Claude Code" will prove to be genuine productivity levers in real-world applications. The focus remains on the potential scale of a shift in modernization projects—from custom, consultant-heavy processes toward more standardized, AI-supported workflows—and what that could mean for future earnings.

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