Pharmacy Technicians
HealthcareAI exposure
- Data source: BLSPublished: 2026-08
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
0.073
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.30
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, 67% 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 18 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Answer telephones, responding to questions or requests.29-2052 | 0.0199100.0 | 0.008477.8 |
Prepare and process medical insurance claim forms and records. | —0 | 0.002422.2 |
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 |
|---|---|
Receive written prescription or refill requests and verify that information is complete and accurate.O*NET Task ID 1939 | 1.0 |
Answer telephones, responding to questions or requests.O*NET Task ID 1941 | 1.0 |
Price and file prescriptions that have been filled.O*NET Task ID 1944 | 1.0 |
Compute charges for medication or equipment dispensed to hospital patients and enter data in computer.O*NET Task ID 1955 | 1.0 |
Price stock and mark items for sale.O*NET Task ID 1957 | 1.0 |
Enter prescription information into computer databases.O*NET Task ID 23924 | 1.0 |
Assist customers by answering simple questions, locating items, or referring them to the pharmacist for medication information.O*NET Task ID 1943 | 0.5 |
Establish or maintain patient profiles, including lists of medications taken by individual patients.O*NET Task ID 1946 | 0.5 |
Order, label, and count stock of medications, chemicals, or supplies and enter inventory data into computer.O*NET Task ID 1947 | 0.5 |
Prepare and process medical insurance claim forms and records.O*NET Task ID 1952 | 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