Software is being released at a pace traditional testing approaches struggle to match, while AI is moving from assisting with test design to generating, adapting, and maintaining tests across the delivery pipeline.
The question facing software testers is no longer only how to scale testing, but how to guarantee the evidence automation produces.
In this environment, the test engineer’s role is becoming more strategic. Rather than focusing on individual test cases, test professionals are increasingly expected to orchestrate quality across AI-enabled systems.
This means applying domain expertise and judgement to connect AI-generated artefacts with requirements, identify hidden risks, and ensure meaningful coverage.
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