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There are also serious gains to be made in science on the back of AI models, just not the flavors most people are familiar with.
https://pmc.ncbi.nlm.nih.gov/articles/PMC8633405/
Image generation uses a concept of a LORA that is a bolt-on model to augment a base model. It can provide support for additional tokens (those map more or less to words and concepts), or bias the base model on existing tokens. For now, that's probably as close as you're going to get to anything resembling long-term-memory on an LLM.
Of course, i was just fixated on the GenAI-Aspect of the question. Climate modeling, Medicine (especially diagnostic and neurosciences), physics, chemistry and even social sciences can benefit a lot. In the manufacturing process it can be used for control of industrial processes (e.g. balancing of a chemical process; i know it's used in QC in production of electronics). This IS the next big thing, but not in the way the corpos try to sell it to us.
Yeah, for the moment, this is it. We will need more research in how to actually read the data inside of a neural network to be able to a) reroute pathways that are problematic and b) enable a process to hook inside of control points to modify it on the fly.