
What happened
In a column for ITmedia, author Yoshihiro Matsuda argued that mechanically converting COBOL business logic into Java with AI is dangerous, drawing on a conversion project he reviewed.
Why it matters
COBOL is good for business systems but Java uses different design ideas, so a direct translation can raise complexity and maintenance cost — 'more harm than good', the author says.
What to watch
The author says the test is not whether AI can translate COBOL, but whether the reuse is appropriate, and warns against repeating past cases where responsibility for misuse was blamed on the technology.
WHO IT HITSThis lands on enterprise IT teams and system integrators (SIers) in Japan weighing whether to use AI tools to migrate aging COBOL systems to Java, and on the business users who bear the resulting maintenance costs.
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The column responds to a blog post published by Anthropic on February 23, 2026 (US time), which said its AI coding tool Claude Code could modernize COBOL-built systems, triggering a drop in IBM shares. Matsuda, a former SCSK employee and author of books on SIers and project management, uses this as a starting point to discuss the limits of AI-driven conversion. He notes that COBOL is well suited to business systems because its DATA DIVISION defines data structures and records, while Java's object-oriented design is fundamentally different. He describes a conversion project he reviewed where Java code was written to resemble COBOL, which increased complexity and maintenance costs, and made failures harder to resolve. Matsuda compares trying to understand COBOL logic in Java to understanding a delicate Japanese expression in English: it is possible to explain the meaning, but the nuance is often lost. He concludes that AI is a technology, not a solution, and that misuse is the real problem — not the tool itself.
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