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Will AI replace Nurse Practitioners?

Diagnose and treat acute, episodic, or chronic illness, independently or as part of a healthcare team. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 29-1171.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
8%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
8%Automatable
Automatable8%
Augmentable51%
Hard to automate41%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Healthcare
Clinical & Care
Modeled pay midpoint$
$76,100/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
✦Clinical accountability and hands-on care31%
✦Patient trust and complex diagnosis27%
◇Maintain complete and detailed records of patients' health care plans and prognoses.18%
⚙Develop treatment plans, based on scientific rationale, standards of care, and professional practice guidelines.12%
▥Provide patients with information needed to promote health, reduce risk factors, or prevent disease or disability.12%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with maintain complete and detailed records of patients' health care plans and prognoses..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in clinical accountability and hands-on care.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Nurse Practitioners.
02>AI can help with: Maintain complete and detailed records of patients' health care plans and prognoses.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Clinical accountability and hands-on care.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 8% is estimated task exposure—not a 8% chance of losing the job.
What AI can do
Maintain complete and detailed records of patients' health care plans and prognoses.LOW MATCH
Develop treatment plans, based on scientific rationale, standards of care, and professional practice guidelines.LOW MATCH
Provide patients with information needed to promote health, reduce risk factors, or prevent disease or disability.LOW MATCH
How estimates work →
Your human moat
◆

Clinical accountability and hands-on care

HIGH MOAT

Combined with patient trust and complex diagnosis, this keeps a human in the loop.

Strength9.4
Similar-role comparison
RoleRisk
Nurse Practitioners8%
Nurse Midwives8%
Registered Nurses8%
Genetic Counselors8%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is clinical accountability and hands-on care.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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Related Healthcare job reports

Nurse Midwives · 8% exposureRegistered Nurses · 8% exposureGenetic Counselors · 8% exposure