Library Technicians
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
0.054
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.46
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, 24% 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 28 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Conduct reference searches, using printed materials and in-house and online databases.25-4031 | 0.059644.6 | 0.023727.5 |
Retrieve information from central databases for storage in a library's computer.25-4031 | 0.036127.0 | 0.048556.1 |
Compile bibliographies and prepare abstracts on subjects of interest to particular organizations or groups.25-4031 | 0.021716.2 | 0.00799.2 |
Help patrons find and use library resources, such as reference materials, audio-visual equipment, computers, and other electronic resources and provide technical assistance when needed.25-4031 | 0.00634.7 | 0.00161.8 |
Design, customize, and maintain databases, web pages, and local area networks.25-4031 | 0.00544.0 | 0.00182.1 |
Compose explanatory summaries of contents of books and other reference materials.25-4031 | 0.00453.3 | 0.00293.3 |
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 and update patrons' records on computers.O*NET Task ID 1689 | 1.0 |
Process print and non-print library materials to prepare them for inclusion in library collections.O*NET Task ID 1699 | 1.0 |
Collect fines and respond to complaints about fines.O*NET Task ID 1703 | 1.0 |
Verify bibliographical data for materials, including author, title, publisher, publication date, and edition.O*NET Task ID 1705 | 1.0 |
Review subject matter of materials to be classified and select classification numbers and headings according to classification systems.O*NET Task ID 1706 | 1.0 |
Send out notices about lost or overdue books.O*NET Task ID 1707 | 1.0 |
Design, customize, and maintain databases, web pages, and local area networks.O*NET Task ID 1709 | 1.0 |
File catalog cards according to system used.O*NET Task ID 1711 | 1.0 |
Compose explanatory summaries of contents of books and other reference materials.O*NET Task ID 1714 | 1.0 |
Compile bibliographies and prepare abstracts on subjects of interest to particular organizations or groups.O*NET Task ID 1718 | 1.0 |
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