[rglullis]

I think we are talking about the same thing and reaching wildly different conclusions. If "producing is just the input side" and you still need people to check if the product really solves the user's problems, then I get to conclude that the bottleneck has never been the "generating the code" part of the work, and actual productivity - i.e, delivering things that actually solves the customer's problem - is pretty much the same.

[segmenta]

I think we agree on the diagnosis: generating code was never the whole bottleneck. Where we differ is the conclusion. Work is implementation plus verification (specing, testing, checking it actually solves the problem). Pre-AI, implementation was so slow that verification hid inside its schedule - you verified while the next thing was being built. AI collapsed implementation time, so verification is now the exposed bottleneck - and the cheapest way teams absorb that today is more human hours. So: output per person is up, hours up too, and the delivered-value gain is real but smaller than the raw output gain suggests. Which I think explains both our observations.