Political Scientists

Life, Physical & Social Sciences

AI exposure

  • Data source: BLSPublished: 2026-08

    Very 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

    0.452

    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

    0.47

    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, 23% 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

Exposed tasks only

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
Write drafts of legislative proposals, and prepare speeches, correspondence, and policy papers for governmental use.

O*NET Task ID 5523

1.0
Teach political science.

O*NET Task ID 5515

0.5
Disseminate research results through academic publications, written reports, or public presentations.

O*NET Task ID 5516

0.5
Identify issues for research and analysis.

O*NET Task ID 5517

0.5
Develop and test theories, using information from interviews, newspapers, periodicals, case law, historical papers, polls, or statistical sources.

O*NET Task ID 5518

0.5
Maintain current knowledge of government policy decisions.

O*NET Task ID 5519

0.5
Collect, analyze, and interpret data, such as election results and public opinion surveys, reporting on findings, recommendations, and conclusions.

O*NET Task ID 5520

0.5
Interpret and analyze policies, public issues, legislation, or the operations of governments, businesses, and organizations.

O*NET Task ID 5521

0.5
Evaluate programs and policies, and make related recommendations to institutions and organizations.

O*NET Task ID 5522

0.5
Forecast political, economic, and social trends.

O*NET Task ID 5524

0.5
Serve on committees.

O*NET Task ID 23950

0.0

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