AI is not viewed as a rival to Quality Engineers but rather as a powerful ally, similar to how automation testing improved the value of testers in the past.
AI in Quality Engineering today is being used for tasks such as code reviews, test coverage reviews, duplicate test detection, and test generation, allowing Quality Engineers to focus on critical thinking about quality.
The future of Quality Engineering is seen as a collaboration between AI and humans, where AI handles repetitive tasks, enabling Quality Engineers to concentrate on strategic aspects like product understanding, user experience, risk assessment, and test design.
Quality Engineers are being elevated with the integration of AI, allowing for improved efficiency and creativity in their work, emphasizing a partnership between AI and human expertise.