The Next-Gen Tester: Navigating the Era of Artificial Intelligence by Unmesh Gundecha
As AI becomes embedded across software development, testers are no longer grappling with what the technology can do, but with how their role should evolve alongside it. Code, tests, and workflows can now be generated at scale, making execution faster and cheaper than ever. Yet higher automation has not automatically translated into higher confidence. The real challenge has shifted from running tests to interpreting signals, framing risk, and deciding what truly matters. This talk introduces a practical operating model for testers in the AI era, clarifying which responsibilities must remain human-owned, where AI can effectively amplify thinking, and what work should be fully delegated. Rather than focusing on tools or trends, it helps experienced testers re-anchor their value around judgment, intent, and decision-making. In an environment where AI is widely available, sustained relevance comes from applying it deliberately—and knowing where human accountability cannot be automated.
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