I pulled this same thing in college. I was a CS major in the late 90's and I took a class from the writing department on changing discourse in a new digital era.
The professor was really good at literary analysis and knew next to nothing about computers. He was spot on that big changes were afoot but he was as wrong as anyone else on what those changes were (spoiler: we all thought we would have an alternate universe in Cyberspace TM).
We had the option of creating a website as our final project and we realized that if we just put in every possible feature we'd get an A. Animated backgrounds? Moving fonts? Music? A goofy mouse pointer? No feature was too dumb. If it was something you couldn't do on a piece of paper, we added it to our website.
We got our A. It was a dirty A but we took it.
There are a lot of scams around AI and there's a lot of very serious science.
While generative AI gets all the attention there are many other fields of AI that you probably use on a regular basis.
The reason we don't see the rest of the AI iceberg is because it's mostly interesting when you have enormous amounts of data you want to analyze and that doesn't apply to regular people. Most of the valuable AIs (as in they've been proven to make or save a bunch of money) do stuff like inventory optimization, protein expression simulation, anomaly detection, or classification.