Library Assistants
Office & Administrative SupportAI exposure
- Data source: BLSPublished: 2026-08
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
0.098
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 31 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Classify and catalog items according to content and purpose.43-4121 | 0.0100100.0 | 0.0300100.0 |
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 and update patrons' records on computers.O*NET Task ID 2643 | 1.0 |
Maintain records of items received, stored, issued, and returned and file catalog cards according to system used.O*NET Task ID 2650 | 1.0 |
Classify and catalog items according to content and purpose.O*NET Task ID 2654 | 1.0 |
Send out notices and accept fine payments for lost or overdue books.O*NET Task ID 2656 | 1.0 |
Prepare, store, and retrieve classification and catalog information, lecture notes, or other information related to stored documents, using computers.O*NET Task ID 2658 | 1.0 |
Review records, such as microfilm and issue cards, to identify titles of overdue materials and delinquent borrowers.O*NET Task ID 2661 | 1.0 |
Select substitute titles when requested materials are unavailable, following criteria such as age, education, and interests.O*NET Task ID 2662 | 1.0 |
Perform clerical activities, such as answering phones, sorting mail, filing, typing, word processing, and photocopying and mailing out material.O*NET Task ID 18770 | 1.0 |
Perform accounting and bookkeeping activities, such as invoicing, maintaining financial records, budgeting, and handling cash.O*NET Task ID 18775 | 1.0 |
Prepare library statistics reports.O*NET Task ID 18778 | 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