Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 29-1229.05
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.
Also called: Occupational Medicine Physician · Physician · Public Health Officer · Public Health Physician · Occupational Physician · Preventive Medicine Physician · Primary Clinician · Aerospace Medicine Physician · Environmental Health Physician · Occupational Health Physician (OHP) · Occupational Medicine Officer · Preventive Medicine Officer
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-1229-05/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
59th-percentile task overlap — yet about 9,600 openings a year (+2.5% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 84th | 0.9 | |
| AI assistant applicability (Microsoft) Moderate | 35th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks. | 0.9% | |
| 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. | 0.5% | |
| Design, implement, or evaluate health service delivery systems to improve the health of targeted populations. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +2.5% by 2034 |
| Projected annual openings | 9,600 |
| Employment 2024 → 2034 | 340,700 → 349,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 15 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Medicine and Dentistry | 4.7 | |
| Biology | 4.4 | |
| English Language | 4.3 | |
| Education and Training | 4.0 | |
| Public Safety and Security | 3.9 | |
| Psychology | 3.8 | |
| Law and Government | 3.8 |
| Reading Comprehension | 4.4 | |
| Active Listening | 4.3 | |
| Speaking | 4.3 | |
| Critical Thinking | 4.3 | |
| Writing | 4.1 | |
| Monitoring | 4.1 | |
| Active Learning | 4.0 | |
| Science | 3.8 | |
| Learning Strategies | 3.8 |
| Oral Expression | 4.4 | |
| Deductive Reasoning | 4.4 | |
| Inductive Reasoning | 4.4 | |
| Oral Comprehension | 4.3 | |
| Written Comprehension | 4.1 | |
| Problem Sensitivity | 4.1 | |
| Speech Clarity | 4.1 | |
| Written Expression | 4.0 | |
| Fluency of Ideas | 4.0 | |
| Speech Recognition | 4.0 | |
| Information Ordering | 3.9 | |
| Category Flexibility | 3.9 | |
| Near Vision | 3.8 | |
| Originality | 3.6 |
| Complex Problem Solving | 4.3 | |
| Judgment and Decision Making | 4.3 | |
| Social Perceptiveness | 4.0 | |
| Coordination | 4.0 | |
| Instructing | 3.8 | |
| Service Orientation | 3.8 | |
| Systems Analysis | 3.8 | |
| Systems Evaluation | 3.8 | |
| Management of Personnel Resources | 3.8 | |
| Persuasion | 3.6 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Health Professions and Related Programs , Medical Residency/Fellowship Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Post-Doctoral Training | 73.7% | |
| Doctoral Degree | 26.3% |
The interests and personal qualities O*NET associates with people who do this work.
| Cautiousness | 10.0 | |
| Intellectual Curiosity | 9.0 | |
| Cooperation | 8.0 | |
| Achievement Orientation | 7.0 | |
| Social Orientation | 6.0 | |
| Self-Control | 5.0 | |
| Innovation | 4.0 |
| Investigative | 6.7 | |
| Social | 5.4 |
| Health Care Service | 6.4 | |
| Medical Science | 6.3 | |
| Teaching/Education | 6.0 | |
| Life Science | 5.5 | |
| Social Science | 5.2 | |
| Social Service | 5.0 | |
| Management/Administration | 4.0 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $66,860 |
| 25th percentile | $95,080 |
| Median (50th) | — |
| 75th percentile | — |
| 90th percentile | — |
| People employed | 315,360 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 29-1229), not for the specialty alone.
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Health Care and Social Assistance · Sector | 258,240 | $235,660 |
| Educational Services · Sector | 10,850 | $72,170 |
| Professional, Scientific, and Technical Services · Sector | 2,280 | $221,680 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1,670 | — |
| Management of Companies and Enterprises · Sector | 1,330 | — |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 920 | — |
| Finance and Insurance · Sector | 770 | $227,720 |
| Direct Health and Medical Insurance Carriers · National industry | 510 | $227,720 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 480 | — |
| Temporary Help Services · National industry | 300 | — |
| Manufacturing · Sector | 220 | $88,370 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 220 | — |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Health Care and Social Assistance · Sector | 5.46× | 258,240 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 0.94× | 920 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 0.76× | 480 |
| Direct Health and Medical Insurance Carriers · National industry | 0.56× | 510 |
| Offices of Chiropractors · National industry | 0.47× | 140 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 0.42× | 220 |
| Educational Services · Sector | 0.39× | 10,850 |
| Management of Companies and Enterprises · Sector | 0.23× | 1,330 |
Part of the Healthcare & Human Services career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Preventive Medicine Physicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Preventive Medicine Physicians show 59th-percentile AI task overlap — and about 9,600 annual U.S. openings
Preventive Medicine Physicians show 59th-percentile AI task overlap — and about 9,600 annual U.S. openings • Preventive Medicine Physicians rank in the 59th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 9,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+2.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) Source: Singulariki — "Preventive Medicine Physicians". https://singulariki.com/roles/role-29-1229-05 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Preventive Medicine Physicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-29-1229-05
Singulariki. (2026). Preventive Medicine Physicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1229-05
@misc{singulariki-role-29-1229-05,
title = {Preventive Medicine Physicians},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-1229-05}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.