Art Conservators
Arts, Design, Entertainment & MediaAI exposure
- Data source: BLSPublished: 2026-08
Moderate· 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
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.37
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, 53% 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 23 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Photograph objects for documentation.25-4013 | 0.011568.5 | 0.0075100.0 |
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.25-4013 | 0.005331.5 | —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 |
|---|---|
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page