Educational, Guidance, and Career Counselors

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

    0.118

    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 15 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
Prepare reports on students and activities as required by administration.

O*NET Task ID 5623

1.0
Review transcripts to ensure that students meet graduation or college entrance requirements, and write letters of recommendation.

O*NET Task ID 5631

1.0
Maintain accurate and complete student records as required by laws, district policies, and administrative regulations.

O*NET Task ID 5606

0.5
Provide students with information on topics such as college degree programs and admission requirements, financial aid opportunities, trade and technical schools, and apprenticeship programs.

O*NET Task ID 5616

0.5
Teach classes and present self-help or information sessions on subjects related to education and career planning.

O*NET Task ID 5619

0.5
Conduct follow-up interviews with counselees to determine if their needs have been met.

O*NET Task ID 5621

0.5
Assess needs for assistance, such as rehabilitation, financial aid, or additional vocational training, and refer clients to the appropriate services.

O*NET Task ID 5625

0.5
Instruct individuals in career development techniques, such as job search and application strategies, resume writing, and interview skills.

O*NET Task ID 5626

0.5
Compile and study occupational, educational, and economic information to assist counselees in determining and carrying out vocational and educational objectives.

O*NET Task ID 5629

0.5
Provide information for teachers and staff members involved in helping students or graduates identify and pursue employment opportunities.

O*NET Task ID 5630

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