Well I precisely talked about things I have engaged professionally. Obviously this cannot cover everything one may do, eg I do not build chatbots for customer service or stuff like that, thus I obviously cannot speak for all possible applications of LLMs and how useful they may be. I am pretty sure there will be useful applications in fields I am not and will not be engaged in as nobody engages with everything. However, some other things that I have tried (eg copilots, summarising scientific articles) imo create much more hype than real value. They can be a bit useful if you know what to actually use them for and what their limits are, but nowhere close to the hype they generate, and I just find myself just googling again tbh. They are absolutely horrible especially with more niche subjects and areas. On the other hand, data extraction and structuring has a quite universal application, has already demonstrated usefulness and potential, and seems a quite realistic, down to earth application that I am happy to see other people and startups working on. Not as fancy, and harder to build hype upon, but very useful regardless.