My primary concern is the ratio of AI-infrastructure products being built relative to the average utility delta of current end-user products. There are some shining counterexamples to this like Github copilot, but for the most part the utility gain from most text-based generative-AI seems incremental.
Current language models are bad to okay at most tasks - and great at a select few. The capabilities in unstructured ETL and production of labeled datasets fall in the latter category.
I think the next generation of really powerful capabilities to be unlocked with generative-AI will come with 1) an increase in compute availability (training even larger models) 2) advances in multimodal models, and 3) better interfaces to interact with them. Spatial computing will be a really big deal here, and people seem to have forgotten that Apple may have unlocked the next version of interactive computing earlier this year.