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Comparison · dataset August 2026

Nurse Practitioner vs Physical Therapist: which is more exposed to AI?

Nurse Practitioner carries 7 points more AI exposure than Physical Therapist.

Nurse Practitioner sits at 31% time-weighted AI exposure against 24% for Physical Therapist, a 7-point gap driven by the 15% of nurse practitioner work time that current models can already substitute outright. Physical Therapist holds a larger human-critical core — 78% of the role's time sits in work like "perform manual therapy and manipulation" that models score poorly on. Both roles sit inside Healthcare, so the exposure difference reflects task design rather than a change of field.

7PP GAP

Seven dimensions, side by side.

METRICNURSE PRACTITIONERPHYSICAL THERAPISTDELTA
AI exposure31%24%7pp gap
Resilience score80/10090/10010pt gap
Substitutable work time15%0%Fully automatable today
Human-critical work time57%78%Models score poorly here
Median salary$126k$96k$30k apart
10-year growth45%17%Nurse Practitioner
US workforce280k242kBLS OEWS
Task level

What actually creates the gap.

Nurse Practitioners spend 15% of their time-weighted week on tasks a current model can produce end-to-end, against 0% for Physical Therapists. The single largest contributor is "draft visit notes and 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.

Nurse Practitioner
MOST EXPOSED TASKS
  • Draft visit notes and documentation82% · 8% time
  • Generate patient instructions78% · 4% time
  • Code visits for billing74% · 3% time
HUMAN-CRITICAL CORE
  • Counsel patients and build trust8% · 15% time
  • Perform physical examinations10% · 20% time
  • Coordinate care with physicians16% · 8% time
Physical Therapist
MOST EXPOSED TASKS
    HUMAN-CRITICAL CORE
    • Perform manual therapy and manipulation4% · 28% time
    • Patient motivation and coaching8% · 12% time
    • Exercise instruction and correction14% · 16% time
    What transfers

    Both roles lean on social, judgement, cognitive — that is the part of your experience that travels intact. The real divide is manual: Physical Therapists score 94 there against 62 for Nurse Practitioners, a 32-point spread. That is the gap you would actually have to close.

    DIMENSIONNURSE PRACTITIONERPHYSICAL THERAPIST
    Manual6294
    Procedural4872
    Creative2444
    Switching between them
    LowDIFFICULTY

    Physical Therapist appears in our dataset as a mapped adjacent career for Nurse Practitioners: the move lowers exposure by 7 points, landing at 24%. Switch difficulty reads low — capability profiles are 19 points apart on average and both sit in the same family.

    Score your own exposure in 8 questions →

    Common questions.

    Is Nurse Practitioner or Physical Therapist more at risk from AI?

    Nurse Practitioner. It scores 31% time-weighted AI exposure against 24% for Physical Therapist — a 7-point gap. 15% of nurse practitioner work time is already fully substitutable by current models, versus 0% for Physical Therapists.

    Which pays more, Nurse Practitioner or Physical Therapist?

    Nurse Practitioner, by roughly $30k at the median ($126k versus $96k). Note that the higher-paying role here is also the more AI-exposed one, which matters if you are weighing pay against durability.

    Can a nurse practitioner switch to being a physical therapist?

    Physical Therapist appears in our dataset as a mapped adjacent career for Nurse Practitioners: the move lowers exposure by 7 points, landing at 24%. Switch difficulty reads low — capability profiles are 19 points apart on average and both sit in the same family.

    Which role is growing faster, Nurse Practitioner or Physical Therapist?

    Nurse Practitioner, at 45% projected ten-year growth versus 17% — a 28-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.