AI x QA Leadership Summit 2026: Building the AI-Native QA Engine

For many QA teams, AI is already part of the day-to-day work. It helps write tests, investigate failures, and decide where engineers should spend their time. The harder question is what comes next. How much of the QA process should AI actually own? Where does it belong in the pipeline? What needs human oversight? And as the work changes, which skills should QA teams be building now? These are…

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