Library Science Teachers, Postsecondary
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
0.018
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 4 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide professional consulting services to government or industry.25-1082 | 0.312737.7 | 0.062417.1 |
Conduct research in a particular field of knowledge and present findings in professional journals, books, electronic media, or at professional conferences.25-1082 | 0.124115.0 | 0.041811.4 |
Evaluate and grade students' class work, assignments, and papers.25-1082 | 0.111313.4 | 0.142639.0 |
Advise students on academic and vocational curricula and on career issues.25-1082 | 0.07428.9 | 0.00892.4 |
Compile, administer, and grade examinations, or assign this work to others.25-1082 | 0.06788.2 | 0.071619.6 |
Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.25-1082 | 0.04475.4 | 0.00762.1 |
Compile bibliographies of specialized materials for outside reading assignments.25-1082 | 0.02883.5 | 0.00922.5 |
Edit manuscripts for professional journals.25-1082 | 0.01501.8 | 0.00190.5 |
Initiate, facilitate, and moderate classroom discussions.25-1082 | 0.00961.2 | 0.00210.6 |
Perform administrative duties such as serving as department head.25-1082 | 0.00730.9 | 0.00822.2 |
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 course materials, such as syllabi, homework assignments, and handouts.O*NET Task ID 6171 | 1.0 |
Maintain student attendance records, grades, and other required records.O*NET Task ID 6178 | 1.0 |
Write grant proposals to procure external research funding.O*NET Task ID 6184 | 1.0 |
Compile bibliographies of specialized materials for outside reading assignments.O*NET Task ID 6188 | 1.0 |
Edit manuscripts for professional journals.O*NET Task ID 20090 | 1.0 |
Prepare and deliver lectures to undergraduate or graduate students on topics such as collection development, archival methods, and indexing and abstracting.O*NET Task ID 6172 | 0.5 |
Evaluate and grade students' class work, assignments, and papers.O*NET Task ID 6173 | 0.5 |
Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.O*NET Task ID 6176 | 0.5 |
Collaborate with colleagues to address teaching and research issues.O*NET Task ID 6179 | 0.5 |
Advise students on academic and vocational curricula and on career issues.O*NET Task ID 6180 | 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