How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.0 to 22.3
Physical / roboticsrange 43.4 to 67.4
When the change is likely
Largely unaffectedlocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
3
Pivot toward Medical Equipment Repairers
It is skill-adjacent and less exposed (42.2 vs 55). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
Keep the monitor on
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Which of my tasks are exposed
Drill and tap holes for rivets, and glue, weld, bolt, or rivet parts together to form prosthetic or orthotic devices.
55.4
Read prescriptions or specifications to determine the type of product or device to be fabricated and the materials and tools required.
55.4
Make orthotic or prosthetic devices, using materials such as thermoplastic and thermosetting materials, metal alloys and leather, and hand or power tools.
55.4
Bend, form, and shape fabric or material to conform to prescribed contours of structural components.
55.4
Construct or receive casts or impressions of patients' torsos or limbs for use as cutting and fabrication patterns.
55.4
Repair, modify, or maintain medical supportive devices, such as artificial limbs, braces, or surgical supports, according to specifications.
55.4
Cover or pad metal or plastic structures or devices, using coverings such as rubber, leather, felt, plastic, or fiberglass.
55.4
Test medical supportive devices for proper alignment, movement, or biomechanical stability, using meters and alignment fixtures.
100.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Test medical supportive devices for proper alignment, movement, or biomechanical stability, using meters and alignment fixtures.
Task: Drill and tap holes for rivets, and glue, weld, bolt, or rivet parts together to form prosthetic or orthotic devices.
Local demand is growing
Lower-risk adjacent roles
Medical Equipment Repairers
42.2
Dental Laboratory Technicians
43.1
Ophthalmic Laboratory Technicians
49.0
Surgical Technologists
52.4
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Medical Appliance Technicians to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 10.3, robotics 55.4.
The timeline comes from the higher axis (55.4), shifted for local demand (growing), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.