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AI Tools Cut Legacy System Modernization Timelines by 63%, Studies Show

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According to 2026 reports from Accenture, Gartner, and Forrester, AI-powered code tools are significantly reshaping how enterprises tackle legacy system modernization, reducing project timelines by an average of 63% compared to manual methods. IBM's 2026 data indicates that 92% of IT leaders consider legacy systems a barrier to digital transformation, with some firms spending over half their engineering budgets maintaining decades-old code. Tools such as IBM watsonx Code Assistant, Microsoft Copilot for Azure, and Google Gemini Advanced can parse millions of lines of code in days, mapping dependencies and flagging outdated logic. Real-world deployments, including Banco do Brasil's migration of 2.8 million COBOL lines to Java, demonstrate measurable cost and downtime reductions. However, experts caution that AI migration is not fully automated, as roughly 15% of migrated code still requires manual review by experienced developers.

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AI Tools Cut Legacy System Modernization Timelines by 63%, Studies Show · ShortSingh