The hype cycle around AI right now is misleading. It isn't revolutionary because of these niche one-off use-cases, it's revolutionary because it's one AI that can do anything. Problem with that is what it's most useful for is boring for non-technical people.

Take the library I wrote to create "semantic functions" from natural language tasks - one of the examples I keep going to in order to demonstrate the usefulness is

@semantic
def list_people(text) -> list[str]:
    '''List the people mentioned in the given text.'''

8 months ago, this would've been literally impossible. I could approximate it with thousands of lines of code using SpaCy and other NLP libraries to do NER, maybe a dictionary of known names with fuzzy matching, some heuristics to rule out city names or more advanced sentence structure parsing for false positives, but the result would be guaranteed to be worse for significantly more effort. Here, I just tell the AI to do it and it... does. Just like that. But you can't hype up an algorithm that does boring stuff like NLP, so people focus on the danger of AI (which is real, but laymen and news focus on the wrong things), how it's going to take everyone's jobs (it will, but that's a problem with our system which equates having a job to being allowed to live), how it's super-intelligent, etc. It's all the business logic and doing things that are hard to program but easy to describe that will really show off its power.