AI is not a shortcut for generating final outputs, instead teams should treat it as a 'thought partner' where AI-generated suggestions are rigorously tested and validated by human decision makung. By selecting appropriate use cases and embedding AI into existing workflows with clear guardrails in place, leadership can move the team away from mechanical tasks toward deeper risk analysis and more effective testing. (And equally applicable to all other teams as well - developers, architects, business analysts, product owners...!) Link
AI is a tool, not a solution for quality itself. Quality in loop comes from the human ability to question, validate, and refuse/reject to outsource judgment to a robot. AI supports the process with ideas, heuristics, and note-taking, but humans retain ownership of the charters, decisions, and debriefs. Testers add value most when they act as the accountable layer in this loop! Testing Podcast