Pharmacists
HealthcareAI exposure
- Data source: BLSPublished: '26.08
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: '26.03
0.090
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.33
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, 63% 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 13 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Provide information and advice regarding drug interactions, side effects, dosage, and proper medication storage.29-1051 | 0.076251.4 |
Assess the identity, strength, or purity of medications.29-1051 | 0.041227.8 |
Compound and dispense medications as prescribed by doctors and dentists, by calculating, weighing, measuring, and mixing ingredients, or oversee these activities.29-1051 | 0.01238.3 |
Publish educational information for other pharmacists, doctors, or patients.29-1051 | 0.00916.2 |
Plan, implement, or maintain procedures for mixing, packaging, or labeling pharmaceuticals, according to policy and legal requirements, to ensure quality, security, and proper disposal.29-1051 | 0.00412.8 |
Provide specialized services to help patients manage conditions such as diabetes, asthma, smoking cessation, or high blood pressure.29-1051 | 0.00362.4 |
Analyze prescribing trends to monitor patient compliance and to prevent excessive usage or harmful interactions.29-1051 | 0.00161.1 |
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 |
|---|---|
Teach pharmacy students serving as interns in preparation for their graduation or licensure.O*NET Task ID 1825 | 1.0 |
Publish educational information for other pharmacists, doctors, or patients.O*NET Task ID 1826 | 1.0 |
Update or troubleshoot pharmacy information databases.O*NET Task ID 20406 | 1.0 |
Review prescriptions to assure accuracy, to ascertain the needed ingredients, and to evaluate their suitability.O*NET Task ID 1808 | 0.5 |
Provide information and advice regarding drug interactions, side effects, dosage, and proper medication storage.O*NET Task ID 1809 | 0.5 |
Analyze prescribing trends to monitor patient compliance and to prevent excessive usage or harmful interactions.O*NET Task ID 1810 | 0.5 |
Order and purchase pharmaceutical supplies, medical supplies, or drugs, maintaining stock and storing and handling it properly.O*NET Task ID 1811 | 0.5 |
Maintain records, such as pharmacy files, patient profiles, charge system files, inventories, control records for radioactive nuclei, or registries of poisons, narcotics, or controlled drugs.O*NET Task ID 1812 | 0.5 |
Provide specialized services to help patients manage conditions, such as diabetes, asthma, smoking cessation, or high blood pressure.O*NET Task ID 1813 | 0.5 |
Advise customers on the selection of medication brands, medical equipment, or healthcare supplies.O*NET Task ID 1814 | 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