Nurse Practitioners vs Physician Assistants
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Nurse Practitioners 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 | Nurse Practitioners | Physician Assistants |
|---|---|---|
| Median pay | $129,210 | $133,260 |
| Employment | 307,390 | 155,540 |
| Employment outlook (2024–34) · BLS projection | Growing fast (+40.1%) | Growing fast (+20.4%) |
| Annual openings · BLS projection | 29,500 | 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 · 47th 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 (69.1%) | 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: Medicine and Dentistry, English Language, Written Comprehension, Problem Sensitivity, Inductive Reasoning, Biology, Psychology, Customer and Personal Service, Reading Comprehension, Active Listening, Critical Thinking, Complex Problem Solving, Oral Expression, Written Expression, Deductive Reasoning, Near Vision, Writing, Speaking, Active Learning, Monitoring, Social Perceptiveness, Judgment and Decision Making, Therapy and Counseling, Oral Comprehension, Information Ordering, Speech Recognition, Speech Clarity, Service Orientation, Education and Training, Science, Coordination, Sociology and Anthropology, Mathematics, Time Management, Category Flexibility, Persuasion, Flexibility of Closure, Chemistry.
Specific to Nurse Practitioners
- Learning Strategies
- Fluency of Ideas
Specific to Physician Assistants
- Computers and Electronics
- 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 , Word processing software , Internet browser software .
Specific to Nurse Practitioners
Specific to Physician Assistants
Full profiles
This page is a summary. See the complete source-backed profile for Nurse Practitioners 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.
- Nurse Practitioners vs Registered Nurses
- Nurse Practitioners vs Advanced Practice Psychiatric Nurses
- Nurse Practitioners vs Clinical Nurse Specialists
- Nurse Practitioners vs Family Medicine Physicians
- Nurse Practitioners vs Acute Care Nurses
- Nurse Practitioners vs Emergency Medicine Physicians
- Nurse Practitioners vs Nurse Midwives
- Nurse Practitioners vs Critical Care Nurses
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. "Nurse Practitioners 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/nurse-practitioners-vs-physician-assistants
Singulariki. (2026). Nurse Practitioners vs Physician Assistants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/nurse-practitioners-vs-physician-assistants
@misc{singulariki-nurse-practitioners-vs-physician-assistants,
title = {Nurse Practitioners 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/nurse-practitioners-vs-physician-assistants}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.