Healthcare · SOC 29-1171
AI handles more pattern-matching, but physical exams, prescribing accountability, and patient relationships anchor the NP role.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI will increasingly draft clinical notes and flag diagnostic possibilities within 2–3 years; NP judgment, examination skills, and prescriptive authority keep exposure moderate rather than high.
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$98,340 median pay
Healthcare
$89,340 median pay
$44,080 median pay
$78,310 median pay
$60,250 median pay
AI job-risk card
Nurse Practitioners is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Nurse Practitioners is 35/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
35 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Interpreting patient histories and lab data for diagnoses, Recommending evidence-based interventions from guidelines, Identifying adverse drug reactions from charts, Scheduling and tracking follow-up care. Harder to automate: Physical examination and hands-on assessment, Prescribing with legal and ethical accountability, Managing complex comorbid conditions, Building therapeutic relationships with patients.
Lean into AI-assisted clinical decision support, Chronic disease management, Telehealth delivery, Population health analytics, Motivational interviewing. Consider roles such as Specialty NP (cardiology, oncology) or Telehealth NP or Clinical care manager.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.