Anesthesiologists

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

    0.27

    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, 74% 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 9 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
Record type and amount of anesthesia and patient condition throughout procedure.

O*NET Task ID 7756

0.5
Examine patient, obtain medical history, and use diagnostic tests to determine risk during surgical, obstetrical, and other medical procedures.

O*NET Task ID 7757

0.5
Confer with other medical professionals to determine type and method of anesthetic or sedation to render patient insensible to pain.

O*NET Task ID 7761

0.5
Order laboratory tests, x-rays, and other diagnostic procedures.

O*NET Task ID 7763

0.5
Diagnose illnesses, using examinations, tests, and reports.

O*NET Task ID 7764

0.5
Manage anesthesiological services, coordinating them with other medical activities and formulating plans and procedures.

O*NET Task ID 7765

0.5
Inform students and staff of types and methods of anesthesia administration, signs of complications, and emergency methods to counteract reactions.

O*NET Task ID 7767

0.5
Instruct individuals and groups on ways to preserve health and prevent disease.

O*NET Task ID 7769

0.5
Conduct medical research to aid in controlling and curing disease, to investigate new medications, and to develop and test new medical techniques.

O*NET Task ID 7770

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