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AI exposure

  • Data source: BLSPublished: 2026-08

    High· relative

    LowFour relative bandsVery high

    Group-level value

    Scale, basis and source

    Four relative bands (Low / Moderate / High / Very high)

    831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.000

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.45

    0.09Range of values carried here0.70

    Group-level value

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    ISCO-08 unit group — every occupation sharing the code gets this value

    Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 25% score at or above this value.

    Source dataset

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

Show 2 hidden tasks

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

TaskβE1 + 0.5 × E2
Draft contract proposals or counter-proposals for collective bargaining or other labor negotiations.

O*NET Task ID 18879

1.0
Draft rules or regulations to govern collective bargaining activities in collaboration with company, government, or employee representatives.

O*NET Task ID 18880

1.0
Interpret contractual agreements for employers and employees engaged in collective bargaining or other labor relations processes.

O*NET Task ID 18882

1.0
Prepare and submit required governmental reports or forms related to labor relations matters, such as equal employment opportunity (EEO) forms, new hire forms, or minority compensation reports.

O*NET Task ID 18887

1.0
Write letters related to labor relations activities, such as letters to amend collective bargaining agreements, letters of dispute or conciliation, or letters to seek clarification of contract terms.

O*NET Task ID 18895

1.0
Advise management on matters related to the administration of contracts or employee discipline or grievance procedures.

O*NET Task ID 18877

0.5
Identify alternatives to proposals of unions, employees, companies, or government agencies.

O*NET Task ID 18881

0.5
Investigate and evaluate union complaints or arguments to determine viability.

O*NET Task ID 18883

0.5
Mediate discussions between employer and employee representatives in attempt to reconcile differences.

O*NET Task ID 18884

0.5
Monitor company or workforce adherence to labor agreements.

O*NET Task ID 18885

0.5

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information