The distinction between AI users and AI builders is the most underrated framing in this piece. We have been hiring for production ML roles and the biggest filter is whether someone has actually debugged a model serving pipeline under load versus just fine-tuned something in a notebook. The gap is not in knowing PyTorch — it is in knowing what happens when your inference service gets 10x traffic at 3am.