As of August 2026, Preventive Medicine Physicians has an AI-exposure score of 47/100 (Moderate exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026). BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Preventive Medicine Physicians

47/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 23% of the roles we track. Median pay ~US$265,930. About 9,600 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Preventive Medicine Physicians?

No exposure score can predict whether AI will replace this role. The 47/100 score means our current model estimates moderate task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Apply knowledge of general preventive medicine and public health issues to promote health care to groups or individuals, and aid in the prevention or reduction of risk of disease, injury, disability, or death. May practice population-based medicine or diagnose and treat patients in the context of clinical health promotion and disease prevention.

Common titles
Occupational Medicine PhysicianPhysicianPublic Health OfficerPublic Health PhysicianOccupational PhysicianPreventive Medicine Physician
O*NET job-zone preparation
Job Zone 5 · Extensive Preparation Needed Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Reading ComprehensionComplex Problem SolvingCritical ThinkingJudgment and Decision MakingSpeakingMonitoring
Work context
Decision latitudeIndoor controlled settingFrequent contact with othersConsequence of error

Source: O*NET 29.1 exact occupation - Preventive Medicine Physicians, SOC 29-1229.05. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Preventive Medicine Physicians tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its individually-assessed tasks split 80% durable / 20% augmentable.

Augmentable
  • 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.
  • Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks.
1 more augmentable task locked in the report.
Durable
  • Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine.
  • Teach or train medical staff regarding preventive medicine issues.
10 more durable tasks locked in the report.

We analyzed all 15 Preventive Medicine Physicians tasks - 3 augmentable and 12 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

Emergency Medicine Physicians
80% skills overlap; Same score - similar exposure within the 5-point model resolution; Moderate band; ~US$335,550
View path
47
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

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.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Preventive Medicine Physicians - median pay by US state (BLS OEWS, USD)

California: US$281,590Texas: US$269,800Florida: US$262,180New York: US$242,500

Median annual wage, in USD. US national: US$265,930. More states are being added.

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