Medical Secretaries and Administrative Assistants
Office & Administrative SupportAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-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
- Data source: AnthropicPublished: 2026-03
0.362
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.53
0.09Range of values carried here0.70Group-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.
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| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Compile and record medical charts, reports, or correspondence, using typewriter or personal computer.43-6013 | 0.008644.1 | 0.009129.4 |
Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings.43-6013 | 0.008543.6 | —0 |
Complete insurance or other claim forms.43-6013 | 0.002412.2 | —0 |
Answer telephones and direct calls to appropriate staff. | —0 | 0.012038.6 |
Schedule and confirm patient diagnostic appointments, surgeries, or medical consultations. | —0 | 0.006119.8 |
Interview patients to complete documents, case histories, or forms, such as intake or insurance forms. | —0 | 0.00196.1 |
Transcribe recorded messages or practitioners' diagnoses or recommendations into patients' medical records. | —0 | 0.00196.1 |
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.
| Task | βE1 + 0.5 × E2 |
|---|---|
Compile and record medical charts, reports, or correspondence, using typewriter or personal computer.O*NET Task ID 776 | 1.0 |
Operate office equipment, such as voice mail messaging systems, and use word processing, spreadsheet, or other software applications to prepare reports, invoices, financial statements, letters, case histories, or medical records.O*NET Task ID 782 | 1.0 |
Transmit correspondence or medical records by mail, e-mail, or fax.O*NET Task ID 783 | 1.0 |
Transcribe recorded messages or practitioners' diagnoses or recommendations into patients' medical records.O*NET Task ID 786 | 1.0 |
Complete insurance or other claim forms.O*NET Task ID 788 | 1.0 |
Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings.O*NET Task ID 789 | 1.0 |
Schedule and confirm patient diagnostic appointments, surgeries, or medical consultations.O*NET Task ID 775 | 0.5 |
Answer telephones and direct calls to appropriate staff.O*NET Task ID 777 | 0.5 |
Receive and route messages or documents, such as laboratory results, to appropriate staff.O*NET Task ID 778 | 0.5 |
Greet visitors, ascertain purpose of visit, and direct them to appropriate staff.O*NET Task ID 779 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Recent Changes Related to This Occupation
Jan 2026: Brookings study identifies 831,000 medical secretaries among workers with high AI exposure and low adaptive capacity. Skills in this role have low transferability to growing occupations.
[Source: Brookings Institution — Measuring US workers capacity to adapt (2026-01)]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.