I think AI wins against people when we start using KPIs in an industrial view of software like defects / LOC, decomposability, etc), or possibly even maintainab

I think AI wins against people when we start using KPIs in an industrial view of software like defects / LOC, decomposability, etc), or possibly even maintainability / understandability of a codebase. Gosh, even since the 1980s expert systems were already out-performing entire doctors' boards in diagnosing issues in patients so clearly technical performance in KPIs isn't the only measure by which we adopt technology in society. When it comes to judgment calls for technical decisions, a lot of interesting innovations appear to come from rejecting conventions / averages in favor of a different set of constraints as a trade-off because we challenge the assumptions we make about the demands being asked of a solution / product. I'm thinking in the constellation of the apocryphal Steve Jobs quote about rejecting asking horse riders what they want because if we asked them they'd ask for a more reliable horse.