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Family Medicine Physicians vs Physician Assistants

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Family Medicine Physicians and Physician Assistants on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Family Medicine Physicians Physician Assistants
Median pay · BLS OEWS
$238,380
$133,260
Employment · BLS OEWS
107,950
155,540
AI exposure (percentile) · task overlap, not automation
56th pct
11th pct

At a glance

Dimension Family Medicine Physicians Physician Assistants
Median pay $238,380 $133,260
Employment 107,950 155,540
Employment outlook (2024–34) · BLS projection About average (+2.7%) Growing fast (+20.4%)
Annual openings · BLS projection 3,300 12,000
Typical education · O*NET 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). 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).
AI exposure · published exposure studies Moderate · 56th pct Low · 11th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 43rd pct · 23% of tasks
Observed AI use · Anthropic Economic Index Augmentation-leaning (73.1%)
Mostly remote-capable · Dingel–Neiman No

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Medicine and Dentistry, Problem Sensitivity, Oral Comprehension, Oral Expression, English Language, Therapy and Counseling, Psychology, Biology, Critical Thinking, Reading Comprehension, Active Listening, Written Comprehension, Deductive Reasoning, Writing, Speaking, Inductive Reasoning, Active Learning, Monitoring, Complex Problem Solving, Judgment and Decision Making, Time Management, Written Expression, Speech Clarity, Science, Social Perceptiveness, Service Orientation, Near Vision, Speech Recognition, Customer and Personal Service, Computers and Electronics, Mathematics, Information Ordering, Flexibility of Closure, Education and Training, Sociology and Anthropology, Coordination.

Specific to Family Medicine Physicians

  • Instructing
  • Learning Strategies
  • Selective Attention
  • Fluency of Ideas

Specific to Physician Assistants

  • Chemistry
  • Category Flexibility
  • Persuasion
  • Systems Evaluation

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Medical software , Spreadsheet software , Office suite software , Electronic mail software , Internet browser software .

Full profiles

This page is a summary. See the complete source-backed profile for Family Medicine Physicians or Physician Assistants — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

Sources for this page

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.

Cite this page
Plain

Singulariki. "Family Medicine Physicians vs Physician Assistants." 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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/family-medicine-physicians-vs-physician-assistants

APA

Singulariki. (2026). Family Medicine Physicians vs Physician Assistants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/family-medicine-physicians-vs-physician-assistants

BibTeX
@misc{singulariki-family-medicine-physicians-vs-physician-assistants,
  title  = {Family Medicine Physicians vs Physician Assistants},
  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; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/family-medicine-physicians-vs-physician-assistants}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.