Academic Advisors

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

    0.000

    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

    0.45

    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, 25% 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

Show 5 hidden tasks

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
Maintain records of services provided and the effects of advice given.

O*NET Task ID 10980

1.0
Collaborate with producers to diagnose and prevent management and production problems.

O*NET Task ID 10974

0.5
Conduct classes or deliver lectures on subjects such as nutrition, home management, and farming techniques.

O*NET Task ID 10975

0.5
Research information requested by farmers.

O*NET Task ID 10977

0.5
Prepare and distribute leaflets, pamphlets, and visual aids for educational and informational purposes.

O*NET Task ID 10978

0.5
Collect and evaluate data to determine community program needs.

O*NET Task ID 10979

0.5
Collaborate with social service and health care professionals to advise individuals and families on home management practices, such as budget planning, meal preparation, and time management.

O*NET Task ID 10983

0.5
Conduct agricultural research, analyze data, and prepare research reports.

O*NET Task ID 10985

0.5
Act as an advocate for farmers or farmers' groups.

O*NET Task ID 10986

0.5
Set and monitor production targets.

O*NET Task ID 10988

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

Occupation information