Health Educators

Healthcare

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

    0.138

    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

    0.28

    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, 73% 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
Document activities and record information, such as the numbers of applications completed, presentations conducted, and persons assisted.

O*NET Task ID 9216

1.0
Maintain databases, mailing lists, telephone networks, and other information to facilitate the functioning of health education programs.

O*NET Task ID 9222

1.0
Provide program information to the public by preparing and presenting press releases, conducting media campaigns, or maintaining program-related Web sites.

O*NET Task ID 9225

1.0
Prepare and distribute health education materials, such as reports, bulletins, and visual aids, to address smoking, vaccines, and other public health concerns.

O*NET Task ID 20236

1.0
Develop and present health education and promotion programs, such as training workshops, conferences, and school or community presentations.

O*NET Task ID 9217

0.5
Develop operational plans and policies necessary to achieve health education objectives and services.

O*NET Task ID 9220

0.5
Design and conduct evaluations and diagnostic studies to assess the quality and performance of health education programs.

O*NET Task ID 9224

0.5
Develop, prepare, and coordinate grant applications and grant-related activities to obtain funding for health education programs and related work.

O*NET Task ID 9226

0.5
Provide guidance to agencies and organizations on assessment of health education needs and on development and delivery of health education programs.

O*NET Task ID 9227

0.5
Develop and maintain health education libraries to provide resources for staff and community agencies.

O*NET Task ID 9228

0.5
Develop and maintain cooperative working relationships with agencies and organizations interested in public health care.

O*NET Task ID 9218

0.0
Collaborate with health specialists and civic groups to determine community health needs and the availability of services and to develop goals for meeting needs.

O*NET Task ID 9221

0.0
Supervise professional and technical staff in implementing health programs, objectives, and goals.

O*NET Task ID 9223

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