Medical Transcriptionists

Healthcare

AI exposure

  • Data source: BLSPublished: '26.08

    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: '26.03

    0.636

    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: '25

    0.53

    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, 14% 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
TaskClaude.aiRaw / share %
Produce medical reports, correspondence, records, patient-care information, statistics, medical research, and administrative material.

31-9094

0.044240.3
Review and edit transcribed reports or dictated material for spelling, grammar, clarity, consistency, and proper medical terminology.

31-9094

0.039536.0
Translate medical jargon and abbreviations into their expanded forms to ensure the accuracy of patient and health care facility records.

31-9094

0.01009.2
Distinguish between homonyms and recognize inconsistencies and mistakes in medical terms, referring to dictionaries, drug references, and other sources on anatomy, physiology, and medicine.

31-9094

0.00726.5
Set up and maintain medical files and databases, including records such as x-ray, lab, and procedure reports, medical histories, diagnostic workups, admission and discharge summaries, and clinical resumes.

31-9094

0.00534.9
Take dictation using shorthand, a stenotype machine, or headsets and transcribing machines.

31-9094

0.00343.1
Not observed on any surface — 9 task(s) These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states.
Transcribe dictation for a variety of medical reports, such as patient histories, physical examinations, emergency room visits, operations, chart reviews, consultation, or discharge summaries.
0
Return dictated reports in printed or electronic form for physician's review, signature, and corrections and for inclusion in patients' medical records.
0
Identify mistakes in reports and check with doctors to obtain the correct information.
0
Perform data entry and data retrieval services, providing data for inclusion in medical records and for transmission to physicians.
0
Answer inquiries concerning the progress of medical cases, within the limits of confidentiality laws.
0
Perform a variety of clerical and office tasks, such as handling incoming and outgoing mail, completing and submitting insurance claims, typing, filing, and operating office machines.
0
Decide which information should be included or excluded in reports.
0
Receive patients, schedule appointments, and maintain patient records.
0
Receive and screen telephone calls and visitors.
0

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Occupation information

Recent Changes Affecting This Occupation

Mar 2026: Karpathy rates medical transcriptionists 10/10 — the only perfect AI exposure score — as virtually all core tasks are LLM-automatable.

[Source: Karpathy AI Exposure Score (Fortune)]