Enterprises are leveraging agentic AI systems to accelerate mainframe modernization. For example, Kyndryl, in collaboration with AWS, now uses AWS’s Transform package—an AI-powered code assistant—to analyze and decompose millions of lines of COBOL, PL/I, and Assembler code. It then converts them into Java, reducing transformation timelines from years to months while preserving full functionality . Meanwhile, IBM is integrating its Telum II processor and launching the upcoming Spyre AI Accelerator card on the z17 mainframe to support on‑device generative AI. This allows sensitive data to stay within secure, on‑premise infrastructure while inference workloads run natively . Over in India, innovation is buzzing—Ric Lewis highlights how teams are reinvigorating mainframes with AI-driven tooling and operational enhancements right on the ground . In just one day, today’s updates show a multi-pronged transformation—cloud migration and modernization via AWS, hardware-level AI embedment with IBM, and vibrant engineering ecosystems—all converging to revitalize “Big Iron” for the AI era.

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