Can AI testing tools make test automation fully autonomous, or will human oversight always be required?

[alex]

AI testing tools are pushing automation beyond scripted execution toward decision-driven testing. Instead of relying only on predefined test cases, modern AI-powered tools analyze code changes, historical failures, production traffic, and user behavior to decide what to test, when to test, and how to adapt. This enables dynamic test generation, intelligent test prioritization, and self-healing tests as applications evolve.

Tools like Keploy demonstrate this shift by generating test cases directly from real API traffic, keeping tests continuously aligned with actual system behavior. While full autonomy still requires human oversight for business logic and risk control, AI testing tools are already reducing maintenance effort and moving test automation closer to a truly autonomous, proactive quality engineering model.