Archivists
Education & TrainingAI 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
0.135
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 12 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Select and edit documents for publication and display, applying knowledge of subject, literary expression, and presentation techniques.25-4011 | 0.0900100.0 | 0.0500100.0 |
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 |
|---|---|
Prepare archival records, such as document descriptions, to allow easy access to information.O*NET Task ID 7635 | 1.0 |
Create and maintain accessible, retrievable computer archives and databases, incorporating current advances in electronic information storage technology.O*NET Task ID 7630 | 0.5 |
Organize archival records and develop classification systems to facilitate access to archival materials.O*NET Task ID 7631 | 0.5 |
Authenticate and appraise historical documents and archival materials.O*NET Task ID 7632 | 0.5 |
Provide reference services and assistance for users needing archival materials.O*NET Task ID 7633 | 0.5 |
Direct activities of workers who assist in arranging, cataloguing, exhibiting, and maintaining collections of valuable materials.O*NET Task ID 7634 | 0.5 |
Preserve records, documents, and objects, copying records to film, videotape, audiotape, disk, or computer formats as necessary.O*NET Task ID 7636 | 0.5 |
Establish and administer policy guidelines concerning public access and use of materials.O*NET Task ID 7637 | 0.5 |
Locate new materials and direct their acquisition and display.O*NET Task ID 7638 | 0.5 |
Research and record the origins and historical significance of archival materials.O*NET Task ID 7639 | 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