The rate of improvement in the models is nothing short of phenomenal, but the applications are meh at best, even after a few years of billions of dollars and endless hours poured by the world's best product and engineering minds. Every AI leader is pushing "agentic AI" as the next big thing but as a specialist in business automation I have my reservations. A lot of problems in automation in business happen because of insufficient investment in IT but can be solved fairly economically by off-the-shelf software, Zapier, a custom web service, or traditional ML techniques in order of complexity. Out of the more difficult problems that remain at the edges, only a small fraction can be solved by LLMs in my experience. The idea that chains of small agents will be composed and generally applied to any business problem under the sun doesn't sound right to me. I think not even the big bosses in AI know at present, but they're surely betting the house on it, and if the bet doesn't play out, things will start looking even more desperate.