Most business tasks are not low skilled language tasks that are so easy to automate. I am helping rebuild a business right now that has a call center and LLMs are basically useless for us.
It is actually kind of shocking how I can go home and learn about quantum computing from LLMs but find them useless for simple business processes. This though I think exemplifies the entire mistake of the bubble. Most business processes don't benefit at all from understanding the Hamiltonian of a system. Most business processes are simple tasks that are the end result of previous automation. In practice, most business processes in 2025 are simple processes done by a human who can deal with the random uncertainty and distribution shift that inevitably comes up. Exactly what a language isn't good but it is even beyond that. So much of what a customer service agent for example is doing is dealing with uncertainty and externality. There is the process that LLMs aren't good anyway but then there is the human judgement on when to disregard the process because of various externalities. The trivial business processes LLMs would be good at automating have already been automated years ago or the business went out of business years ago. AGI would in theory be amazing at all this too but we don't have AGI. We have language models that have a very limited use case beyond an interactive version of Wikipedia. I love the interactive version of Wikipedia but it is not worth trillions of dollars.
Im curious I've seen very different results for automation of business processes. Could you share an example of what you're dealing with?