Dietitians and Nutritionists

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

    0.133

    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

    0.41

    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, 36% 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 2 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
Develop curriculum and prepare manuals, visual aids, course outlines, and other materials used in teaching.

O*NET Task ID 322

1.0
Write research reports and other publications to document and communicate research findings.

O*NET Task ID 333

1.0
Develop recipes and menus to address special nutrition needs, such as low glycemic, low histamine, or gluten- or allergen-free.

O*NET Task ID 23916

1.0
Assess nutritional needs, diet restrictions, and current health plans to develop and implement dietary-care plans and provide nutritional counseling.

O*NET Task ID 314

0.5
Consult with physicians and health care personnel to determine nutritional needs and diet restrictions of patient or client.

O*NET Task ID 315

0.5
Advise patients and their families on nutritional principles, dietary plans, diet modifications, and food selection and preparation.

O*NET Task ID 316

0.5
Counsel individuals and groups on basic rules of good nutrition, healthy eating habits, and nutrition monitoring to improve their quality of life.

O*NET Task ID 317

0.5
Monitor food service operations to ensure conformance to nutritional, safety, sanitation and quality standards.

O*NET Task ID 318

0.5
Coordinate recipe development and standardization and develop new menus for independent food service operations.

O*NET Task ID 319

0.5
Develop policies for food service or nutritional programs to assist in health promotion and disease control.

O*NET Task ID 320

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