π‘ Nurse Anesthetists have a composite risk score of 36/100 (Frey-Osborne probability: 40%, GenAI exposure: 46/100). With 50,350 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 50,350 workers and a median wage of $223K,nurse anesthetists represent a significant portion of the US workforce. Their GenAI exposure index is 46%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
36/100
Employment
50,350
Median Wage
$223K
GenAI Exposure
46%
β οΈ Top Risk Factors
AI clinical decision-support tools guiding treatment
Automated patient monitoring and alert systems
Natural language processing for clinical documentation
π‘οΈ Tasks AI Can't Easily Replace
Interdisciplinary care coordination
Hands-on physical examination and procedures
Emergency triage requiring rapid human judgment
Complex clinical judgment in ambiguous presentations
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
76% skills overlap Β· $226K median wage
Dentists, General
79% skills overlap Β· $173K median wage
Occupational Therapists
71% skills overlap Β· $98K median wage
β Frequently Asked Questions
Will AI completely replace nurse anesthetists?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for nurse anesthetists?
Nurse Anesthetists have a composite AI automation risk score of 36 out of 100, classified as "Moderate".
How many nurse anesthetists are there in the US?
There are approximately 50,350 nurse anesthetists employed in the United States.
What do nurse anesthetists earn?
The median annual wage for nurse anesthetists is $223K.
What skills should nurse anesthetists develop?
Focus on tasks AI can't easily replicate: interdisciplinary care coordination, hands-on physical examination and procedures, emergency triage requiring rapid human judgment, complex clinical judgment in ambiguous presentations. These human-centric skills will become more valuable as routine tasks are automated.