This episode explores how AI is transforming quality, highlighting current impacts like AI-powered test automation, computer vision for manufacturing defect detection, and AI-driven document quality control that boost efficiency, accuracy, and compliance.

It forecasts near-term advances including autonomous testing, NLP-generated test scripts, self-healing tests, and edge AI integrated with robotics for real-time inspection and correction on factory floors.

The discussion concludes that AI is shifting QA from manual, repetitive work to higher-value, strategic roles focused on reliability, user experience, and continuous delivery.