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AI Automation Index
Will AI Replace Preventive Medicine Physicians?
Task-level automation exposure for Preventive Medicine Physicians: 15 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
47%
weighted task index
15 of 15 tasks scored
Median Salary
$265,930 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
342,720 people hold this job — size, not growth
Projected 2025–35
+3.4%
employment change
9,400 openings a year · BLS line item
Pay by state
BLS OEWS publishes 51 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$77,430 – $454,550
Highest medians
North Dakota $454,550
Montana $438,850
Maine $419,410
Wisconsin $391,740
Minnesota $367,320
Lowest medians
District of Columbia $77,430
Illinois $132,540
Arkansas $136,880
Michigan $155,480
Puerto Rico $172,230
State figures come from the 29-1229 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 47%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 68%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 14%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 33/100
Moderate
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
15 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 25%
4 tasks
Medium exposure (≥ 35%) 52%
8 tasks
Low exposure (below 35%) 23%
3 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#17222 · Core · 28% automatable
Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine.
interpersonal — Healthcare operations accountability and staffing are human
Direct healthcare delivery programs. Manage healthcare operations.
#17212 · Core · 59% automatable
Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks.
interpersonal — Patient history requires live elicitation and judgment
Gather medical information from patient histories. Record patient medical histories.
#17217 · Core · 64% automatable
Identify groups at risk for specific preventable diseases or injuries.
data analysis — Trend and relationship detection in data
Research diseases or parasites. Analyze data to identify trends or relationships among variables.
#17220 · Core · 40% automatable
Perform epidemiological investigations of acute and chronic diseases.
information retrieval — Literature review aided; wet-lab and clinical research human
Conduct research to increase knowledge about medical issues.
#17214 · Core · 25% automatable
Supervise or coordinate the work of physicians, nurses, statisticians, or other professional staff members.
interpersonal — Patient care supervision is live clinical leadership
Supervise patient care personnel.
#17218 · Core · 50% automatable
Design or use surveillance tools, such as screening, lab reports, and vital records, to identify health risks.
decision support — Assessment methods drafted; clinical validation human
Develop health assessment methods or programs.
#17219 · Core · 35% automatable
Direct public health education programs dealing with topics such as preventable diseases, injuries, nutrition, food service sanitation, water supply safety, sewage and waste disposal, insect control, and immunizations.
interpersonal — Healthcare operations accountability and staffing are human
Manage healthcare operations.
#17216 · Core · 68% automatable
Evaluate the effectiveness of prescribed risk reduction measures or other interventions.
data analysis — Quantitative treatment efficacy analysis; researcher verifies
Analyze quantitative data to determine effectiveness of treatments or therapies.
#17225 · Core · 62% automatable
Provide information about potential health hazards and possible interventions to the media, the public, other health care professionals, or local, state, and federal health authorities.
text generation — Health messaging drafted by AI; public delivery human
Communicate health and wellness information to the public.
#17211 · Core · 30% automatable
Teach or train medical staff regarding preventive medicine issues.
interpersonal — Provider training is clinical, hands-on, accountable
Train medical providers.
#17224 · Core · 47% automatable
Coordinate or integrate the resources of health care institutions, social service agencies, public safety workers, or other organizations to improve community health.
decision support — Drafts health program design; implementation and buy-in human
Plan programs to address community health issues. Design public or employee health programs.
#17213 · Core · 52% automatable
Prepare preventive health reports, including problem descriptions, analyses, alternative solutions, and recommendations.
interpersonal — Medical research presentation needs human delivery
Present medical research reports.
#17223 · Core · 48% automatable
Design, implement, or evaluate health service delivery systems to improve the health of targeted populations.
decision support — Drafts health program design; implementation and buy-in human
Design public or employee health programs.
#17221 · Core · 45% automatable
Develop or implement interventions to address behavioral causes of diseases.
decision support — Draft non-medical plans; clinician validates and owns
Develop treatment plans that use non-medical therapies.
#17215 · Core · 62% automatable
Deliver presentations to lay or professional audiences.
text generation — Health messaging drafted by AI; public delivery human
Communicate health and wellness information to the public.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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