Physician Assistants

Healthcare

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· 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

    0.23

    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, 80% 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
Interpret diagnostic test results for deviations from normal.

O*NET Task ID 4074

0.5
Make tentative diagnoses and decisions about management and treatment of patients.

O*NET Task ID 4075

0.5
Obtain, compile, and record patient medical data, including health history, progress notes, and results of physical examination.

O*NET Task ID 4076

0.5
Administer or order diagnostic tests, such as x-ray, electrocardiogram, and laboratory tests.

O*NET Task ID 4077

0.5
Prescribe therapy or medication with physician approval.

O*NET Task ID 4078

0.5
Instruct and counsel patients about prescribed therapeutic regimens, normal growth and development, family planning, emotional problems of daily living, and health maintenance.

O*NET Task ID 4080

0.5
Supervise and coordinate activities of technicians and technical assistants.

O*NET Task ID 4082

0.5
Visit and observe patients on hospital rounds or house calls, updating charts, ordering therapy, and reporting back to physician.

O*NET Task ID 4083

0.5
Order medical and laboratory supplies and equipment.

O*NET Task ID 4084

0.5
Examine patients to obtain information about their physical condition.

O*NET Task ID 4073

0.0
Perform therapeutic procedures, such as injections, immunizations, suturing and wound care, and infection management.

O*NET Task ID 4079

0.0
Provide physicians with assistance during surgery or complicated medical procedures.

O*NET Task ID 4081

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