[otsaloma]

There's already way too many people in the field who see these Stable Diffusion, GPT etc. in the news and want to do something like that. Stable Diffusion looks impressive, but I have no idea what the business use case for that is. Likewise lots of people want to do "deep learning" but most companies don't have that kind of data or it doesn't make sense otherwise. 99% of data science work is more boring -- what you need is try to understand the business, be familiar with a wide range of different methodology and have an exploratory mindset to look for a good solution to a particular problem. This is not to say you can't do "AI" or "deep learning", but a narrow focus, overcrowded market and no existing skills are not a good combination. There's plenty of business need for general data engineering and data science though that can also serve as a path forward if not interesting to you as an end.