For those who’ve use AI in your testing, how has it changed your day-to-day testing workflows?

I'm curious to know how AI has helped with routine tasks, like has the automation reduced time on regression testing, for example. Or has it changed the way you approach testing.
Tell me not only about benefits (if there are any) but also the challenges, like integrating AI results with manual processes, learning curves, or trust issues with automated outcomes.
No answers yet.