π‘ Surgical Assistants have a composite risk score of 36/100 (Frey-Osborne probability: 1%, GenAI exposure: 53/100). With 22,860 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 22,860 workers and a median wage of $60K,surgical assistants represent a significant portion of the US workforce. Their GenAI exposure index is 53%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
36/100
Employment
22,860
Median Wage
$60K
GenAI Exposure
53%
β οΈ Top Risk Factors
Automated patient monitoring and alert systems
AI clinical decision-support tools guiding treatment
Natural language processing for clinical documentation
π‘οΈ Tasks AI Can't Easily Replace
Hands-on physical examination and procedures
Interdisciplinary care coordination
Ethical decision-making in end-of-life situations
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
84% skills overlap Β· $173K median wage
Occupational Therapists
76% skills overlap Β· $98K median wage
β Frequently Asked Questions
Will AI completely replace surgical assistants?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for surgical assistants?
Surgical Assistants have a composite AI automation risk score of 36 out of 100, classified as "Moderate".
How many surgical assistants are there in the US?
There are approximately 22,860 surgical assistants employed in the United States.
What do surgical assistants earn?
The median annual wage for surgical assistants is $60K.
What skills should surgical assistants develop?
Focus on tasks AI can't easily replicate: hands-on physical examination and procedures, interdisciplinary care coordination, ethical decision-making in end-of-life situations, complex clinical judgment in ambiguous presentations. These human-centric skills will become more valuable as routine tasks are automated.