The thing people I think have a hard time seeing is that "I go faster" does not mean "more features get finished".
It's a scale issue, and one scale is better than the other. People only pay for finished features, they do not pay for how much code you emit.
In my field - operations - productivity is usually described as some rate of production for a specific asset. 100 widgets / machine / hour - for example.
"My productivity is 3 PRs / day with the LLM as opposed to 1 PR per every three days". That's how I think people are thinking about it.
My point is that's not the same thing as value. I.e. what people will pay for.
“This random part of the code is slow, I used an LLM to generate a PR that speeds it up.”
Okay, you optimized the part that’s not a bottleneck, sped up nothing and cost the company $100 in tokens. Good job?
"If an LLM builds a feature, and no one uses it, did it make value?"