Generative AI is transforming software quality by shifting QA from manual test creation to reviewing machine-generated results. While AI can speed up testing and analysis, one-shot tools often prioritize volume over accuracy, which can create additional work. Trust remains a challenge as teams try to balance speed with risk.
Human review in the testing loop is essential. By providing context, guidelines, and clear formats, testers can turn AI into a reliable drafting partner while maintaining accountability. Strong structure, governance, and transparent principles help reduce errors and support sustainable, modern QA practices.
