I can't but think this has to be tied to _how_ AI is used.

I actively use AI to research, question and argue a lot, this pushes me to reason a lot more than I normally would.

Today's example: - recognize docs are missing for a feature - have AI explore the code to figure out what's happening - back and forth for ours trying to find how to document, rename, refactor, improve, write mermaid charts, stress over naming to be as simple as possible

The only step I'm doing less is the exploration/search one, because an LLM can process a lot more text than I can at the same time. But for every other step I am pushing myself to think more and more profoundly than I would without an LLM because gathering the same amount of information would've bene too exhausting to proceed with this.

Sure, it may have spared me to dig into mermaid too, for what is worth.

So yes, lose some, win others, albeit in reality no work would've been done at all without the LLM enabling it. I would've moved to another mundane task such as "update i18 formatting of date for swiss german customers".