How is AI changing the way we approach test automation?

I’ve been exploring AI-powered testing recently, and one thing I find interesting is how testing is moving beyond just writing and running automated scripts.

With tools like X360AITECH, AI can help with things like test generation, natural-language automation, self-healing, and failure analysis.

But I’m curious about how others see this.

Do you think AI will mainly help reduce repetitive testing work, or can it actually change the way QA teams approach test coverage and debugging?

Would love to hear how others are using AI in their testing workflows.