It's not like it's some obscure thing, it's absolutely ubiquitous.
Relatively speaking it's not very complicated, it's widely documented, has vast learning resources, and has some of the best ROI of any DSL. It's funny to joke that it looks like line noise, but really, there is not a lot to learn to understand 90% of the expressions people actually write.
It takes far longer to tell an AI what you want than to write a regex yourself.
I needed one to do something with Markdown which was a very internal BigCo thing to need to do, something I'd never have written without weird requirements in play. It wasn't that tricky, but going back trying to get LLMs to replicate it after the fact from the same description I was working from, they were hopeless. I need to dig that out again and try it on the latest models.