Museum Curators
Arts, Design, Entertainment & MediaAI 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
0.412
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 9 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Provide information from the institution's holdings to other curators and to the public.25-4012 | 0.063935.4 |
Study, examine, and test acquisitions to authenticate their origin, composition, history, and to assess their current value.25-4012 | 0.039521.9 |
Plan and organize the acquisition, storage, and exhibition of collections and related materials, including the selection of exhibition themes and designs, and develop or install exhibit materials.25-4012 | 0.038521.3 |
Write and review grant proposals, journal articles, institutional reports, and publicity materials.25-4012 | 0.027715.4 |
Schedule events and organize details, including refreshment, entertainment, decorations, and the collection of any fees.25-4012 | 0.00754.2 |
Plan and conduct special research projects in area of interest or expertise.25-4012 | 0.00331.8 |
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 |
|---|---|
Develop and maintain an institution's registration, cataloging, and basic record-keeping systems, using computer databases.O*NET Task ID 1644 | 1.0 |
Write and review grant proposals, journal articles, institutional reports, and publicity materials.O*NET Task ID 1654 | 1.0 |
Provide information from the institution's holdings to other curators and to the public.O*NET Task ID 1645 | 0.5 |
Inspect premises to assess the need for repairs and to ensure that climate and pest control issues are addressed.O*NET Task ID 1646 | 0.5 |
Negotiate and authorize purchase, sale, exchange, or loan of collections.O*NET Task ID 1648 | 0.5 |
Plan and conduct special research projects in area of interest or expertise.O*NET Task ID 1649 | 0.5 |
Confer with the board of directors to formulate and interpret policies, to determine budget requirements, and to plan overall operations.O*NET Task ID 1651 | 0.5 |
Schedule events and organize details, including refreshment, entertainment, decorations, and the collection of any fees.O*NET Task ID 1653 | 0.5 |
Study, examine, and test acquisitions to authenticate their origin, composition, history, and to assess their current value.O*NET Task ID 1655 | 0.5 |
Arrange insurance coverage for objects on loan or for special exhibits and recommend changes in coverage for the entire collection.O*NET Task ID 1656 | 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