Art Conservators

Arts, Design, Entertainment & Media

AI exposure

  • Data source: BLSPublished: 2026-08

    Moderate· 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

    0.37

    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, 53% 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 14 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
Enter information about museum collections into computer databases.

O*NET Task ID 21065

1.0
Coordinate exhibit installations, assisting with design, constructing displays, dioramas, display cases, and models, and ensuring the availability of necessary materials.

O*NET Task ID 3807

0.5
Determine whether objects need repair and choose the safest and most effective method of repair.

O*NET Task ID 3808

0.5
Specialize in particular materials or types of object, such as documents and books, paintings, decorative arts, textiles, metals, or architectural materials.

O*NET Task ID 3813

0.5
Recommend preservation procedures, such as control of temperature and humidity, to curatorial and building staff.

O*NET Task ID 3814

0.5
Classify and assign registration numbers to artifacts and supervise inventory control.

O*NET Task ID 3815

0.5
Prepare reports on the operation of conservation laboratories, documenting the condition of artifacts, treatment options, and the methods of preservation and repair used.

O*NET Task ID 3819

0.5
Study object documentation or conduct standard chemical and physical tests to ascertain the object's age, composition, original appearance, need for treatment or restoration, and appropriate preservation method.

O*NET Task ID 3820

0.5
Perform tests and examinations to establish storage and conservation requirements, policies, and procedures.

O*NET Task ID 3822

0.5
Plan and conduct research to develop and improve methods of restoring and preserving specimens.

O*NET Task ID 3823

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