π‘ Nurse Practitioners have a composite risk score of 42/100 (Frey-Osborne probability: 40%, GenAI exposure: 74/100). With 307,390 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Possible. Significant task automation is underway β workers should actively upskill.
With 307,390 workers and a median wage of $129K,nurse practitioners represent a significant portion of the US workforce. Their GenAI exposure index is 74%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
42/100
Employment
307,390
Median Wage
$129K
GenAI Exposure
74%
β οΈ Top Risk Factors
AI-assisted diagnostic imaging reducing radiologist workload
Natural language processing for clinical documentation
Telehealth platforms automating triage and intake
Generative AI producing marketing and creative copy
π‘οΈ Tasks AI Can't Easily Replace
Complex clinical judgment in ambiguous presentations
Emergency triage requiring rapid human judgment
Interdisciplinary care coordination
Empathetic patient communication and bedside manner
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
73% skills overlap Β· $226K median wage
Dentists, General
81% skills overlap Β· $173K median wage
Podiatrists
73% skills overlap Β· $153K median wage
β Frequently Asked Questions
Will AI completely replace nurse practitioners?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for nurse practitioners?
Nurse Practitioners have a composite AI automation risk score of 42 out of 100, classified as "Elevated".
How many nurse practitioners are there in the US?
There are approximately 307,390 nurse practitioners employed in the United States.
What do nurse practitioners earn?
The median annual wage for nurse practitioners is $129K.
What skills should nurse practitioners develop?
Focus on tasks AI can't easily replicate: complex clinical judgment in ambiguous presentations, emergency triage requiring rapid human judgment, interdisciplinary care coordination, empathetic patient communication and bedside manner. These human-centric skills will become more valuable as routine tasks are automated.