Registered Nurses vs Physician Assistants
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Registered Nurses 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.”
At a glance
| Dimension | Registered Nurses | Physician Assistants |
|---|---|---|
| Median pay | $93,600 | $133,260 |
| Employment | 3,282,010 | 155,540 |
| Employment outlook (2024–34) · BLS projection | About average (+4.9%) | Growing fast (+20.4%) |
| Annual openings · BLS projection | 189,100 | 12,000 |
| Typical education · O*NET | Most of these occupations require a four-year bachelor's degree, but some do not. | 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 · 39th pct | Low · 11th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 47th pct · 25% of tasks | 43rd pct · 23% of tasks |
| Observed AI use · Anthropic Economic Index | Augmentation-leaning (66.7%) | Augmentation-leaning (73.1%) |
| Mostly remote-capable · Dingel–Neiman | No | 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: Psychology, Customer and Personal Service, Medicine and Dentistry, English Language, Social Perceptiveness, Problem Sensitivity, Deductive Reasoning, Active Listening, Speaking, Critical Thinking, Coordination, Service Orientation, Oral Comprehension, Written Comprehension, Oral Expression, Inductive Reasoning, Reading Comprehension, Judgment and Decision Making, Information Ordering, Near Vision, Speech Clarity, Writing, Monitoring, Written Expression, Speech Recognition, Active Learning, Complex Problem Solving, Mathematics, Therapy and Counseling, Category Flexibility, Flexibility of Closure, Education and Training, Time Management.
Specific to Registered Nurses
- Administrative
- Administration and Management
- Learning Strategies
- Instructing
- Fluency of Ideas
- Memorization
- Speed of Closure
Specific to Physician Assistants
- Biology
- Science
- Sociology and Anthropology
- Computers and Electronics
- Chemistry
- 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 , Word processing software , Spreadsheet software , Office suite software , Electronic mail software , Video conferencing software .
Specific to Registered Nurses
Specific to Physician Assistants
Full profiles
This page is a summary. See the complete source-backed profile for Registered Nurses 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.
- Registered Nurses vs Acute Care Nurses
- Registered Nurses vs Nurse Practitioners
- Registered Nurses vs Critical Care Nurses
- Registered Nurses vs Clinical Nurse Specialists
- Registered Nurses vs Licensed Practical and Licensed Vocational Nurses
- Registered Nurses vs Nurse Midwives
- Registered Nurses vs Advanced Practice Psychiatric Nurses
- Registered Nurses vs Nurse Anesthetists
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Registered Nurses 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/registered-nurses-vs-physician-assistants
Singulariki. (2026). Registered Nurses vs Physician Assistants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/registered-nurses-vs-physician-assistants
@misc{singulariki-registered-nurses-vs-physician-assistants,
title = {Registered Nurses 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/registered-nurses-vs-physician-assistants}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.