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Comparison · dataset August 2026

Physician Assistant vs Registered Nurse: which is more exposed to AI?

Effectively tied: 1 point separates Physician Assistants from Registered Nurses.

Physician Assistant scores 32% time-weighted AI exposure and Registered Nurse scores 33% — close enough that the headline number tells you almost nothing. The difference lives underneath it: Physician Assistants lose the most ground on "draft clinical documentation" (82%), while for Registered Nurses it is "clinical documentation and charting" (72%). Both roles sit inside Healthcare, so the exposure difference reflects task design rather than a change of field.

1PP GAP

Seven dimensions, side by side.

METRICPHYSICIAN ASSISTANTREGISTERED NURSEDELTA
AI exposure32%33%1pp gap
Resilience score78/10086/1008pt gap
Substitutable work time15%0%Fully automatable today
Human-critical work time58%70%Models score poorly here
Median salary$130k$81k$49k apart
10-year growth28%6%Physician Assistant
US workforce148k3.1MBLS OEWS
Task level

What actually creates the gap.

Physician Assistants spend 15% of their time-weighted week on tasks a current model can produce end-to-end, against 0% for Registered Nurses. The single largest contributor is "draft clinical documentation", graded at 82% and worth 8% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

Physician Assistant
MOST EXPOSED TASKS
  • Draft clinical documentation82% · 8% time
  • Generate discharge instructions78% · 4% time
  • Prepare billing and coding74% · 3% time
HUMAN-CRITICAL CORE
  • Communicate hard news to patients6% · 10% time
  • Perform clinical procedures8% · 14% time
  • Examine and assess patients10% · 22% time
Registered Nurse
MOST EXPOSED TASKS
    HUMAN-CRITICAL CORE
    • Emotional support and counseling6% · 3% time
    • Administer medications and treatments8% · 16% time
    • Emergency response and triage12% · 7% time
    What transfers

    Both roles lean on judgement, social, cognitive — that is the part of your experience that travels intact. The real divide is manual: Registered Nurses score 88 there against 58 for Physician Assistants, a 30-point spread. That is the gap you would actually have to close.

    DIMENSIONPHYSICIAN ASSISTANTREGISTERED NURSE
    Manual5888
    Procedural5274
    Switching between them
    LowDIFFICULTY

    Registered Nurse appears in our dataset as a mapped adjacent career for Physician Assistants: the move raises exposure by 1 points, landing at 33%. Switch difficulty reads low — capability profiles are 17 points apart on average and both sit in the same family.

    Score your own exposure in 8 questions →

    Common questions.

    Is Physician Assistant or Registered Nurse more at risk from AI?

    Registered Nurse. It scores 33% time-weighted AI exposure against 32% for Physician Assistant — a 1-point gap. 0% of registered nurse work time is already fully substitutable by current models, versus 15% for Physician Assistants.

    Which pays more, Physician Assistant or Registered Nurse?

    Physician Assistant, by roughly $49k at the median ($130k versus $81k). Note that the higher-paying role here is also the less AI-exposed one, which matters if you are weighing pay against durability.

    Can a physician assistant switch to being a registered nurse?

    Registered Nurse appears in our dataset as a mapped adjacent career for Physician Assistants: the move raises exposure by 1 points, landing at 33%. Switch difficulty reads low — capability profiles are 17 points apart on average and both sit in the same family.

    Which role is growing faster, Physician Assistant or Registered Nurse?

    Physician Assistant, at 28% projected ten-year growth versus 6% — a 22-point difference. Growth and AI exposure are separate signals: a role can grow in headcount while the content of the work is substantially rewritten.

    Career families
    Healthcare
    Methodology
    Scores are time-weighted across each role's canonical O*NET tasks, graded against current frontier-model capability. How we score.