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Physician Assistants vs Family Medicine Physicians

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

A factual, source-backed comparison of Physician Assistants and Family Medicine Physicians 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.”

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

At a glance

Dimension Physician Assistants Family Medicine Physicians
Median pay $133,260 $238,380
Employment 155,540 107,950
Employment outlook (2024–34) · BLS projection Growing fast (+20.4%) About average (+2.7%)
Annual openings · BLS projection 12,000 3,300
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 Low · 11th pct Moderate · 56th 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, Biology, English Language, Psychology, Therapy and Counseling, Customer and Personal Service, Reading Comprehension, Critical Thinking, Oral Comprehension, Problem Sensitivity, Deductive Reasoning, Inductive Reasoning, Active Listening, Writing, Speaking, Social Perceptiveness, Service Orientation, Judgment and Decision Making, Written Comprehension, Oral Expression, Written Expression, Information Ordering, Speech Recognition, Speech Clarity, Education and Training, Active Learning, Monitoring, Complex Problem Solving, Near Vision, Science, Sociology and Anthropology, Computers and Electronics, Mathematics, Coordination, Time Management, Flexibility of Closure.

Specific to Physician Assistants

  • Chemistry
  • Category Flexibility
  • Persuasion
  • Systems Evaluation

Specific to Family Medicine Physicians

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

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 .

Specific to Physician Assistants

Specific to Family Medicine Physicians

Full profiles

This page is a summary. See the complete source-backed profile for Physician Assistants or Family Medicine Physicians — 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. "Physician Assistants vs Family 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; 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/physician-assistants-vs-family-medicine-physicians

APA

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

BibTeX 
@misc{singulariki-physician-assistants-vs-family-medicine-physicians,
  title  = {Physician Assistants vs Family 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; 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/physician-assistants-vs-family-medicine-physicians}
}

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