I agree it's being overused, just for the sake of it. On the other hand, I think right now we're in the discovery phase - we'll find out out pretty soon what it's good at, and what it isn't, and correct for that. The things that it IS good at will all benefit from it.

Articles like these, cherry picked examples where it gives terribly wrong answers, are great for entertainment, and as a reminder that generated content should not be relied on without critical thinking. But it's not the whole picture, and should not be used to write off the technology itself.

(as a side note, I do have issues with how training data is gathered without consent of its creators, but that's a separate concern from its application)