Political Scientists
Life, Physical & Social SciencesAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-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
- Data source: AnthropicPublished: 2026-03
0.452
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.47
0.09Range of values carried here0.70Group-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.
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 4 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Develop and test theories, using information from interviews, newspapers, periodicals, case law, historical papers, polls, or statistical sources.19-3094 | 0.051427.1 | 0.010622.3 |
Interpret and analyze policies, public issues, legislation, or the operations of governments, businesses, and organizations.19-3094 | 0.047425.0 | 0.020242.5 |
Teach political science.19-3094 | 0.044223.3 | 0.00265.6 |
Write drafts of legislative proposals, and prepare speeches, correspondence, and policy papers for governmental use.19-3094 | 0.01889.9 | 0.00428.9 |
Evaluate programs and policies, and make related recommendations to institutions and organizations.19-3094 | 0.01186.2 | 0.009820.7 |
Disseminate research results through academic publications, written reports, or public presentations.19-3094 | 0.00924.9 | —0 |
Collect, analyze, and interpret data such as election results and public opinion surveys, reporting on findings, recommendations, and conclusions.19-3094 | 0.00402.1 | —0 |
Identify issues for research and analysis.19-3094 | 0.00261.4 | —0 |
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.
| Task | βE1 + 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 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page