You would think when everyone has a couple of MCPs and frontier LLMs to-hand, consulting businesses like mine would be toast. Why pay Speedshop four figures a month to fix your app when "an LLM can just do it for me?"
I've been running at 100% capacity for the past year despite all the advances on the model front. Why?
1. You've gotten more effective, but so have I. What _I_ can accomplish with an hour $50 of tokens is still 10x what _you_ can accomplish with that.
2. You still don't know what questions to ask. Consultants are _still_ more effective than LLMs at answering the unknown unknowns, whereas LLMs still require you to prompt them. The "analyze my entire codebase" skill you have is nowhere near as effective as what I can do.
3. Trust and blame-ability. Everyone is sitting on piles of now _hundreds_ of pull requests which are generated by agents but they are too nervous to merge without human review. I am that human review and accountability now, or I am the expert who helps you build the software factory which can automate this trust and verification process (which you cannot build yourself because you don't know how to verify software for performance).
4. Not all problems are LLM-shaped. Certain problems are a great fit for "token generator in a loop": fix all my N 1s, make my test suite faster. But others are very, very poorly shaped for LLMs: refactor my codebase to fit Russian Doll caching (it will generate an utter hackjob), prioritize 100 different possible things I could be doing, define the goals of performance work, etc. Drudgery is now automatable, yes, but not all the work we do is drudgery.
5. Not all useful knowledge is in the training data. I have ten years of experiences and knowledge from working on literally hundreds of applications which never made it to my blog or books and does not appear in the training set. I know things the LLMs do not.
There are probably more reasons. And I'm not just sitting on my laurels either, I still feel the pressure to get better every day as the frontier capabilities continue to grow. But the business is still good.