Museum Curators

Arts, Design, Entertainment & Media

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

    0.412

    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

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
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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information