In my experience, the key is matching the tool to the task. AI excels at repetitive, data-driven work like analyzing test results, spotting patterns, or predicting flaky tests.
Human judgment is still essential for edge cases, nuanced workflows, or strategic decisions where context and experience matter. Balancing AI assistance with hands-on decision-making ensures efficiency without sacrificing accuracy, and it helps teams focus their expertise where it adds the most value.