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 29-1214.00
Make immediate medical decisions and act to prevent death or further disability. Provide immediate recognition, evaluation, care, stabilization, and disposition of patients. May direct emergency medical staff in an emergency department.
Also called: Attending Emergency Physician · Emergency Medicine Physician (EM Physician) · Emergency Physician · Physician · Attending Physician · Emergency MD (Emergency Medicine Doctor) · MD (Medical Doctor) · Critical Care Intensivist · Critical Care Intensivist Physician · Critical Care Physician · Disaster Medicine Physician · ER Doctor (Emergency Room Doctor)
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-1214-00/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.
42nd-percentile task overlap — yet about 1,000 openings a year (+2.7% 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 | 68th | 0.8 | |
| AI assistant applicability (Microsoft) Low | 21st | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), and including AI-powered software (γ 0.8). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +2.7% by 2034 |
| Projected annual openings | 1,000 |
| Employment 2024 → 2034 | 36,100 → 37,100 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 17 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Medicine and Dentistry | 5.0 | |
| English Language | 4.8 | |
| Biology | 4.5 | |
| Psychology | 4.4 | |
| Therapy and Counseling | 4.0 | |
| Customer and Personal Service | 3.9 | |
| Education and Training | 3.7 |
| Oral Comprehension | 4.6 | |
| Written Comprehension | 4.6 | |
| Oral Expression | 4.6 | |
| Written Expression | 4.5 | |
| Problem Sensitivity | 4.4 | |
| Deductive Reasoning | 4.4 | |
| Inductive Reasoning | 4.4 | |
| Speech Recognition | 4.3 | |
| Speech Clarity | 4.3 | |
| Information Ordering | 4.1 | |
| Near Vision | 4.0 | |
| Flexibility of Closure | 3.9 | |
| Fluency of Ideas | 3.8 | |
| Originality | 3.6 | |
| Category Flexibility | 3.6 | |
| Selective Attention | 3.6 | |
| Speed of Closure | 3.5 | |
| Memorization | 3.4 |
| Active Listening | 4.4 | |
| Critical Thinking | 4.4 | |
| Reading Comprehension | 4.3 | |
| Speaking | 4.3 | |
| Writing | 4.1 | |
| Monitoring | 4.1 | |
| Active Learning | 4.0 | |
| Learning Strategies | 3.6 |
| Social Perceptiveness | 4.3 | |
| Service Orientation | 4.1 | |
| Complex Problem Solving | 4.1 | |
| Judgment and Decision Making | 4.1 | |
| Coordination | 4.0 | |
| Persuasion | 3.6 | |
| Instructing | 3.6 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Epic Systems | Medical software | Hot technology In demand |
| MEDITECH software | Medical software | Hot technology |
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 | 62.1% | |
| Doctoral Degree | 34.5% | |
| First Professional Degree | 3.5% |
The interests and personal qualities O*NET associates with people who do this work.
| Intellectual Curiosity | 10.0 | |
| Cooperation | 9.0 | |
| Achievement Orientation | 8.0 | |
| Self-Control | 7.0 | |
| Stress Tolerance | 6.0 | |
| Perseverance | 5.0 | |
| Adaptability | 4.0 | |
| Leadership Orientation | 3.0 |
| Health Care Service | 6.9 | |
| Medical Science | 4.7 | |
| Social Service | 4.0 | |
| Life Science | 3.6 |
| Investigative | 5.6 | |
| Social | 5.6 | |
| Conventional | 4.2 | |
| Realistic | 4.2 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $114,680 |
| 25th percentile | $181,070 |
| Median (50th) | — |
| 75th percentile | — |
| 90th percentile | — |
| People employed | 33,680 |
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 | 32,250 | — |
| Educational Services · Sector | 590 | $73,250 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 410 | — |
| Management of Companies and Enterprises · Sector | 210 | — |
| Professional, Scientific, and Technical Services · Sector | — | — |
| Other Services (except Public Administration) · Sector | — | $176,550 |
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 | 6.39× | 32,250 |
| Management of Companies and Enterprises · Sector | 0.34× | 210 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.21× | 410 |
| Educational Services · Sector | 0.2× | 590 |
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 Emergency 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.
Emergency Medicine Physicians show 42nd-percentile AI task overlap — and about 1,000 annual U.S. openings
Emergency Medicine Physicians show 42nd-percentile AI task overlap — and about 1,000 annual U.S. openings • Emergency Medicine Physicians rank in the 42nd 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 1,000 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 (+2.7%) from 2024 to 2034. (BLS Employment Projections 2024–34) Source: Singulariki — "Emergency Medicine Physicians". https://singulariki.com/roles/role-29-1214-00 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. "Emergency 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; 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-29-1214-00
Singulariki. (2026). Emergency Medicine Physicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1214-00
@misc{singulariki-role-29-1214-00,
title = {Emergency 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; 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-29-1214-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.