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Anthropic’s February 23, 2026 claim that Claude Code could speed up work around legacy COBOL systems coincided with a sharp drop in IBM shares. But the claim focused on automating parts of analysis and implementation—not replacing a production mainframe in one step—and the stock move does not prove the tool’s performance or a lasting change to IBM’s business.
What Anthropic said Claude Code could do
Anthropic described Claude Code as a way to assist with labor-intensive work in COBOL modernization: mapping dependencies, documenting workflows, identifying risks, analyzing code, and helping with implementation. The company’s reported argument was that automating some of this work could make a process that has been slow and costly faster. CIO reproduced Anthropic’s statement that AI could handle code analysis and implementation while teams focused on strategy, risk assessment, and business logic. That is Anthropic’s characterization, not an independently established result.
The capability claims and timelines were reported by CIO, ITPro, and Investing.com carrying Reuters attribution. The reporting cited here does not provide a controlled comparison with IBM’s tools or an independent performance study. It therefore does not establish how quickly Claude Code can complete a particular modernization project, or how much human review and testing would still be needed.
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News reports tied the market reaction to Anthropic’s February 23 announcement, but reported different measurements. CIO said IBM shares fell 13% that Monday and described it as the company’s largest one-day drop since October 2000. Investing.com, citing Reuters, reported an intraday low 10% below the prior level. These are publication-reported figures, not independently checked exchange data; an intraday low and a reported daily decline are not necessarily the same measurement.
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Investing.com also reported declines for Accenture and Cognizant, noting that the consulting firms were already trading lower amid wider technology-sector weakness. The reports document the timing and trading context, but do not establish that Anthropic’s post alone caused IBM’s share move.
Why IBM says code translation is not full modernization
IBM’s response drew a distinction between translating COBOL source code and modernizing the broader platform on which business applications run. Rob Thomas, IBM’s Senior Vice President of Software and Chief Commercial Officer, said: “Translation captures almost none of the actual complexity. The modernization challenge is not a COBOL language problem. It is everything the application runs on and integrates with.” CIO reported that statement. ITPro also quoted Thomas: “Decades of hardware-software integration cannot be replicated by moving code.”
Those are IBM’s arguments, not a neutral test of Anthropic’s tool. They point to work that may extend beyond source code: understanding interfaces and data flows, accounting for runtime and hardware dependencies, testing behavior, and managing operational risk. An AI assistant might help with parts of discovery or code changes without, by itself, resolving those wider dependencies.
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IBM and Anthropic announced a strategic enterprise-software partnership on October 7, 2025. IBM said Claude would be integrated into select products, beginning with an AI-first IDE for enterprise software development. IBM described uses including application modernization, code generation and review, orchestration, and security-oriented development. The announcement provides partnership context; it does not show that Anthropic’s COBOL claims were independently tested or adopted through the partnership.
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IBM also said more than 6,000 internal early adopters were using the IDE and reporting average productivity gains of 45 percent. That is IBM’s 2025 report about early IDE testing, not a COBOL-specific result or an independently audited benchmark. IBM’s partnership announcement is available at IBM’s announcement.
How to judge claims about AI COBOL modernization
A useful evaluation separates the work being claimed from the evidence that it succeeds. “Modernization” can mean anything from explaining old code to migrating an application and its operating environment; those are materially different tasks.
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- Task scope: Does the tool analyze and document code, translate it, refactor it, help test it, or support a broader platform migration?
- Validation: Are changes checked with regression tests, reviewed by people who understand the application, and assessed against production outcomes?
- Integration: Does the plan account for interfaces, data flows, runtime behavior, and hardware-software dependencies—not only the COBOL source?
- Controls: How are security, governance, deployment risk, and rollback handled?
These questions reflect the difference between Anthropic’s reported focus on analysis and implementation tasks and IBM’s emphasis on platform context. The reporting cited here supplies no head-to-head Anthropic-versus-IBM benchmark, so it cannot determine which approach performs better.
What the investor reaction does—and does not—show
The February 23 reports show that investors reacted strongly to the prospect that AI could affect work associated with legacy-system modernization. They do not establish that Claude Code can quickly refactor a live COBOL system, that IBM’s modernization business has been permanently disrupted, or that source translation alone can replace the surrounding platform work. Those questions require evidence about tested systems, production results, and the full scope of migration—not a share-price move.
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