Will AI replace Medical Appliance Technicians?
AI reaches little of this job’s work.
9/100
Low exposure
More exposed to AI than 20% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 11% of the work
What the job involves
Construct, maintain, or repair medical supportive devices such as braces, orthotics and prosthetic devices, joints, arch supports, and other surgical and medical appliances.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(2)
- Read prescriptions or specifications to determine the type of product or device to be fabricated and the materials and tools required.
- Fit appliances onto patients, and make any necessary adjustments.
Out of reach(13)
- Repair, modify, or maintain medical supportive devices, such as artificial limbs, braces, or surgical supports, according to specifications.
- Bend, form, and shape fabric or material to conform to prescribed contours of structural components.
- Make orthotic or prosthetic devices, using materials such as thermoplastic and thermosetting materials, metal alloys and leather, and hand or power tools.
- Lay out and mark dimensions of parts, using templates and precision measuring instruments.
- Test medical supportive devices for proper alignment, movement, or biomechanical stability, using meters and alignment fixtures.
and 8 more
Also called
Orthopedic Technician (Orthopedic Tech) · Arch Support Technician (Arch Support Tech) · Arch Support Tech · Orthopedic Tech · Hearing Aid Repair Technician (Hearing Aid Repair Tech) · Arch Support Maker · Artificial Limb Maker · Brace Maker
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics