Inferential Statistics

Hey everyone! Is it just me or inferential statistics has stopped in time? For professional reasons I don’t use it a lot anymore so I uknowledge that I am a bit off in the state of the art. I also understand the Impact of machine learning methods. But I have a feeling that instead of trying to come up with new methods that solve old issues associated with Classic inferential tests (normality assumptions, linear dependencies, etc) everyone just gave up and moved on 😅 Like I said, I might be wrong but is just the feeling that I have and if i’m right, what are your thoughts on the reasons for this? Thank You all!!