Ricardian AI job revival

Apply a Ricardo‑style, policy‑flexible approach to AI: deliberately steer adoption so AI augments middle‑skill occupations (training, subsidies for augmentation, sectoral labor standards) rather than simply substituting for them. The idea emphasizes proactive policy design — targeted reskilling, employer incentives, and adjustable labor rules — to recreate broad middle‑class employment rather than rely on market churn alone. — If policymakers adopt a targeted, historical‑analogue strategy, they could prevent deep wage polarization and shape AI’s labor footprint instead of merely responding to displacement after the fact.