I don't think this is off topic, and I'm curious if anyone has a good answer. I see the same issue with people who work on "old school" machine learning techniques for the normal useful things that aren't "generative". Like, my company does a lot of time series forecasting, and sure, it's fine to market that as "AI", but that terminology has become a lot less useful for serious discussions of what we do, like with potential candidates. I guess just saying "ML" works fine, even though "generative AI" is also ML, but people don't tend to use that terminology for it much.