If you've ever tried to use AI to help with this kind of analysis, you might find this to be more inevitable than it is funny.
It's really, really, really good at confidently jumping to hasty conclusions and confirmation bias. Which perhaps shouldn't be surprising when you consider that it was largely trained on the Internet's proverbial global comments section.
But also, "AI" is polysemous. There's "AI" the academic field, and machine learning is a subset of that field. But there's also "AI" the marketing term, which is much more well-known nowadays. And for that meaning of the term, it's the other way around -- it's a subset of machine learning.
Under either definition, though, I agree it doesn't make much sense to talk about them as if they are two different things, because either way one is just a particular kind of the other.