Will AI take my nurse practitioner job?

Nursing · SOC 29-1171
83
/ 100
AI-Proof Score · nursing

Nurse Practitioner

In 1 year
82
↓ 1 pts
In 3 years
80
↓ 3 pts
In 5 years
79
↓ 4 pts

Tasks at risk

  • Drafting visit notes and refill rationales
  • Preventive-care counseling content
  • Standardized chronic-disease management plans

AI-resistant skills to build

  • Independent prescribing authority (state-dependent)
  • Physical exam and diagnostic reasoning
  • Patient relationship continuity in primary care

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What this score means for Nurse Practitioner.

The Nurse Practitioner role scores in the most AI-resistant band. The work that defines it — the physical, procedural, and relational core — is not on the table for current generative AI. Routine paperwork is being eaten; the actual job is not. Over the next 5 years the score is projected to drift down by 4 points based on the nursing vertical's drift rate. Quarterly recomputes track the actual change.

The four signals.

Eloundou α
5%
Tasks an LLM can do directly.
Eloundou β
28%
Tasks reachable via LLM-powered software.
Index intensity
19/100
How heavily real users deploy AI on this work today.
Automation share
16%
Of that usage, the share that is replacement vs assistance.

All four are weighted into the composite. See the formula →

What to do this quarter.

The single highest-leverage move for someone in this role this quarter:

An EHR-integrated AI scribe (DAX, Abridge) for shift documentation.

The free 12-week email plan above expands this into a sequenced plan. The $19 personalized roadmap goes further: ranked tools, credential-value shifts, pivot scenarios, and quarter-by-quarter targets for the next 12 months.

Other roles in Nursing.

Sources for this score.