371

THE HUMAN YIELD

SECTION 15

ISSUE 001

PROJECTIONpolicy1-3yconfidence / medium

Insure Unequal Automation Exposure

Projection: social insurance will become sensitive to occupation, region, and observed task disruption, with firms sharing the transition cost when they capture AI productivity gains. Benefits should follow measured wage and work changes, not deterministic forecasts, and rise where exposure meets gender, disability, language, or geographic disadvantage.

Why this idea is here

What the evidence establishes.

ILO–World Bank research maps uneven exposure across 135 countries; IMF modeling shows AI adoption can amplify or reduce inequality depending on institutions.

Source ledger

Read the sources.

  1. S01
    Uneven Global Impact of Generative AI on Jobs

    ILO–World Bank research / dated 2026 / retrieved 2026-07-09

  2. S02
    AI Adoption and Inequality

    IMF working paper / published 2025-04-04 / retrieved 2026-07-09

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