π‘ Registered Nurses have a composite risk score of 33/100 (Frey-Osborne probability: 1%, GenAI exposure: 80/100). With 3,282,010 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 3,282,010 workers and a median wage of $94K,registered nurses represent a significant portion of the US workforce. Their GenAI exposure index is 80%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
33/100
Employment
3,282,010
Median Wage
$94K
GenAI Exposure
80%
β οΈ Top Risk Factors
AI-generated written content replacing manual drafting
Administrative automation of medical billing and coding
AI summarization replacing manual report compilation
π‘οΈ Tasks AI Can't Easily Replace
Interdisciplinary care coordination
Ethical decision-making in end-of-life situations
Hands-on physical examination and procedures
Complex clinical judgment in ambiguous presentations
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
70% skills overlap Β· $226K median wage
Dentists, General
78% skills overlap Β· $173K median wage
Occupational Therapists
70% skills overlap Β· $98K median wage
β Frequently Asked Questions
Will AI completely replace registered nurses?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for registered nurses?
Registered Nurses have a composite AI automation risk score of 33 out of 100, classified as "Moderate".
How many registered nurses are there in the US?
There are approximately 3,282,010 registered nurses employed in the United States.
What do registered nurses earn?
The median annual wage for registered nurses is $94K.
What skills should registered nurses develop?
Focus on tasks AI can't easily replicate: interdisciplinary care coordination, ethical decision-making in end-of-life situations, hands-on physical examination and procedures, complex clinical judgment in ambiguous presentations. These human-centric skills will become more valuable as routine tasks are automated.