Librarians and Media Collections Specialists

Education & Training

AI exposure

  • Data source: BLSPublished: 2026-08

    Very high· 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

    0.203

    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

    0.55

    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, 12% 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

Exposed tasks only

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
Teach library patrons basic computer skills, such as searching computerized databases.

O*NET Task ID 22408

1.0
Code, classify, and catalog books, publications, films, audio-visual aids, and other library materials, based on subject matter or standard library classification systems.

O*NET Task ID 22416

1.0
Explain use of library facilities, resources, equipment, and services, and provide information about library policies.

O*NET Task ID 22418

1.0
Engage in professional development activities, such as taking continuing education classes and attending or participating in conferences, workshops, professional meetings, and associations.

O*NET Task ID 22426

1.0
Maintain hardware and software, including computers, media equipment, scanners, color copiers, and color laser printers.

O*NET Task ID 22435

1.0
Check books in and out of the library.

O*NET Task ID 22407

0.5
Review and evaluate materials, using book reviews, catalogs, faculty recommendations, and current holdings to select and order print, audio-visual, and electronic resources.

O*NET Task ID 22409

0.5
Keep up-to-date records of circulation and materials, maintain inventory, and correct cataloging errors.

O*NET Task ID 22410

0.5
Search standard reference materials, including online sources and the Internet, to answer patrons' reference questions.

O*NET Task ID 22411

0.5
Analyze patrons' requests to determine needed information and assist in furnishing or locating that information.

O*NET Task ID 22412

0.5
Troubleshoot problems with audio-visual equipment.

O*NET Task ID 22421

0.0
Represent library or institution on internal and external committees.

O*NET Task ID 22431

0.0
Train faculty and media staff on the use of software and audio-visual equipment.

O*NET Task ID 22436

0.0

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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information