Occupation score change
IMPACT 10pharmacist exposure increased 1.0 points
AI Exposure Score moved from a previous calculation to 39/100 under methodology v1.0. 0 evidence item(s) contributed.
39/100
increased by +1.0 vs last
Low exposure
3 Oct 2026
19 hours ago · sources: BLS OES (approx) · O*NET
0 sources
20 core tasks shown · 1 secondary hidden
Pharmacists Moderate exposure: only 4 of 20 core tasks show high task automation potential : exposure 39/100 (low exposure).
No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.
Score breakdown
Why this score?
Every component is stored with the score row and can be recomputed from the evidence table.
AI Exposure (composite)39/100
Methodology 2026-09-a · score v1.0 · input hash 0be120ecd9573a10
AI capability exposure68/100
Strength of current models on the capabilities this job's tasks require.
Task automation potential63/100
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Observed AI adoption0/100
Evidence that AI is actually being used for this work.
Labour-market signal0/100
Observed changes in postings, employment or earnings.
Evidence strength0/100
Quantity and source quality of the evidence behind the score.
0 evidence item(s) contribute. Calculated 19 hours ago. 3 Oct 2026 UTC.
Overview
Dispense drugs prescribed by physicians and other health practitioners and provide information to patients about medications and their use. May advise physicians and other health practitioners on the selection, dosage, interactions, and side effects of medications.
Employment
≈320,000
approx. BLS OES
Median wage
≈$137,000
approx. BLS OES
Tasks tracked
21
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Task-level automation exposure
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 4.9/5
core task · importance 4.8/5
core task · importance 4.8/5
core task · importance 4.5/5
core task · importance 4.5/5
core task · importance 4.4/5
core task · importance 4.2/5
core task · importance 4.1/5
core task · importance 4.1/5
core task · importance 4.1/5
core task · importance 4.1/5
core task · importance 3.6/5
core task · importance 3.6/5
core task · importance 3.5/5
core task · importance 3.5/5
core task · importance 3.4/5
- Advise customers on the selection of medication brands, medical equipment, or healthcare supplies.35
core task · importance 3.4/5
core task · importance 3.3/5
core task · importance 3.3/5
core task · importance 3.2/5
Evidence
Evidence trail
0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.
Historical trend
Exposure over time
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
Reconstruction, not measurement. 5 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
Related
Related Occupations
Occupations sharing major SOC group (29) with Pharmacists.
faq
Frequently Asked Questions
Common questions regarding Pharmacists and AI exposure.
Will AI replace Pharmacists?
Current AI models show an exposure score of 39/100 for Pharmacists. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Low exposure indicates significant physical, clinical, or relational tasks that current AI cannot autonomously execute.
Which tasks in Pharmacists have the highest AI exposure?
The most exposed tasks for Pharmacists include "Maintain records, such as pharmacy files, patient profiles, charge system files, inventories, control records for radio…" (90% exposure) and "Provide information and advice regarding drug interactions, side effects, dosage, and proper medication storage." (80% exposure).
What aspects of Pharmacists can AI not do yet?
Tasks with the lowest AI exposure for Pharmacists include "Plan, implement, or maintain procedures for mixing, packaging, or labeling pharmaceuticals, according to policy and leg…" (5% exposure) and "Prepare sterile solutions or infusions for use in surgical procedures, emergency rooms, or patients' homes." (5% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.