π‘ Medical Assistants have a composite risk score of 49/100 (Frey-Osborne probability: 30%, GenAI exposure: 70/100). With 793,460 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 793,460 workers and a median wage of $44K,medical assistants represent a significant portion of the US workforce. Their GenAI exposure index is 70%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
49/100
Employment
793,460
Median Wage
$44K
GenAI Exposure
70%
β οΈ Top Risk Factors
Administrative automation of health records management
Automated patient scheduling and intake systems
AI-driven vital sign monitoring and alerting
Chatbot displacement of customer-facing interactions
π‘οΈ Tasks AI Can't Easily Replace
Physical repositioning and mobility assistance
Responding to unpredictable patient emergencies
Adapting to individual patient emotional needs
Compassionate hands-on patient care and comfort
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Occupational Therapy and Physical Therapist Assistants and Aides
82% skills overlap Β· $62K median wage
Dentists, All Other Specialists
62% skills overlap Β· $226K median wage
Social Workers, All Other
59% skills overlap Β· $69K median wage
β Frequently Asked Questions
Will AI completely replace medical assistants?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for medical assistants?
Medical Assistants have a composite AI automation risk score of 49 out of 100, classified as "Elevated".
How many medical assistants are there in the US?
There are approximately 793,460 medical assistants employed in the United States.
What do medical assistants earn?
The median annual wage for medical assistants is $44K.
What skills should medical assistants develop?
Focus on tasks AI can't easily replicate: physical repositioning and mobility assistance, responding to unpredictable patient emergencies, adapting to individual patient emotional needs, compassionate hands-on patient care and comfort. These human-centric skills will become more valuable as routine tasks are automated.