Mainframe Voices: What Signals and Trends Should the Community Watch?

The mainframe community stands at a pivotal crossroads where AI, open source, and talent development are converging to redefine the platform's future. A professor from Northern Illinois University reveals the tension between teaching foundational mainframe skills and the pressure to include cutting-edge tools like generative AI—despite limited classroom time. He praises student-built tools like Zcrafter that embed AI into assembler development, but warns against the myth that AI will replace COBOL or assembler programmers. Instead, he argues AI’s greatest value lies in reverse-engineering legacy systems with no documentation. A Broadcom engineer emphasizes the critical need for hands-on access to z/OS, calling open mainframe project efforts to provide shared platforms a 'huge game changer' for onboarding new talent. Meanwhile, an IBM technical architect highlights how the latest Z17 mainframe is built with AI-on-chip capabilities, enabling new use cases and accelerating open source innovation—though with growing risks around code review capacity. A recent biology graduate turned IBM Z ambassador underscores the rising importance of hybrid skills: AI tools will augment, not replace, deep domain knowledge. The real power, she insists, is in understanding the mainframe’s core logic and use cases, not just wielding AI prompts. The episode reveals a clear consensus: the future of mainframes isn’t about replacing humans with AI, but about empowering human expertise with AI.