Create a standardized 'Augmentation Index' that measures, across sectors, the share of tasks performed by human‑AI collaboration vs full automation, plus task‑level productivity multipliers and completion success rates. The index would be built from platform logs (anonymized), survey validation and outcome metrics and updated quarterly to guide education, labor and industrial policy.
— A public Augmentation Index would give policymakers and employers a transparent, evidence‑based tool to design retraining, credentialing, and regulation tailored to where AI actually augments work rather than simply displaces jobs.
msmash
2026.01.15
100% relevant
Anthropic’s report (anonymized 2M Claude conversations, Nov 2025) already provides the basic components: augmentation vs automation split (52% vs 45%), rising job adoption (36%→49%), and productivity factors (12× for college‑level tasks).
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