For example. Imagine that you are comparing two documents (let's assume diff doesn't exist). You could ask an AI to compare the differences from you or you could use AI to write a tool to do it. For whatever reason, people are starting to go with the former not realizing that now they basically have to pay to compare documents.
My answer: no, but it was able to help me find the website and social handles for every beat writer for every team, and generate a simple website where I can do a daily skim of teams/players and draw my own conclusions.
LLMs are a tool, not a panacea.
It just requires being willing to think instead of mashing prompts into a keyboard.
Normal people have never gone around automating their work. The most automation they do is dynamic tables on excel sheets.
I obviously know building a tool that can programmatically do something is a better solution, but I think that requires a fundamental shift in how people work. People need to be told by someone "this is how you should be using the AI" but right now they're simple told "use the AI".
I understand and agree with your point though.
In practice, I've found the answer seems to be "not much", because human triage is still required to understand whether the insight is correct and useful. But I'm not sure that was obvious in retrospect.
With this AI is a fallback and not the default. Sounds like large companies have it backwards.
This is why we have business analysts and software developers.
To help identify inefficiencies and to build technical solutions.