Measure labor impact by the 'applicable value' — how much human expertise remains uniquely valuable after AI augmentation — rather than by simple job counts. Policies should prioritize building and credentialing human tasks that AI can enhance (health technicians, mid‑level managers) while addressing the structural squeeze on low‑expertise service workers through targeted transfers, training, and employment design.
— Shifting the metric from jobs to applicable value reframes industrial policy, education reform and redistribution, producing more precise, actionable strategies for a fair AI transition.
Nathan Gardels
2026.01.16
100% relevant
Nathan Gardels’ Noema essay (Jan 16 2026) quoting David Autor: AI will augment mid‑level cognitive labor raising its value while leaving many low‑skill service roles as a 'bottleneck'.
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