Share and intensity of work current AI systems can materially affect.
Medical Assistants AI displacement risk
Scheduling, chart preparation, and patient messaging can be augmented. Hands-on care, rooming patients, vital signs, specimen handling, and local clinical protocols keep the role comparatively resilient.
Likely potential for exposed tasks to move to software after workflow integration.
Administrative-heavy clinics will automate faster than roles with direct patient contact and regulated clinical workflows.
Task profile
Where AI changes the work
Prepare charts
Exposure 66, automation 36%, augmentation 64%.
Room patients
Exposure 18, automation 6%, augmentation 26%.
Record vitals
Exposure 28, automation 12%, augmentation 34%.
Coordinate follow-ups
Exposure 52, automation 24%, augmentation 58%.
Transition pathways
Adjacent moves that preserve existing skills
adjacent role
Low Care Coordinator
Training horizon: 2-5 months. Skill overlap 78. Wage preservation signal 112.
- Map follow-up workflows
- Practice patient outreach scripts
- Track care gaps
credentialed transition
Low Licensed Practical Nurse
Training horizon: 12-18 months. Skill overlap 64. Wage preservation signal 132.
- Check state licensing rules
- Complete prerequisite planning
- Shadow nursing workflows
Labor-market context
Median wage: $42,000. Employment context: Large healthcare support role with durable hands-on demand. Typical education: Postsecondary nondegree award common.
- Hands-on demand remains resilient
- AI assists documentation
- Credentials and scope rules matter
Sources