41
/100

SOC 51-9082

Medical Appliance Technicians

ElevatedFrey/Osborne: 45.0%

Risk Score

โš ๏ธ

41/100

Elevated

US Employment

๐Ÿ‘ฅ

11,490

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$37K โ€“ $75K

Projected Growth

๐Ÿ“ˆ

+3.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Medical Appliance Technicians face a risk score of 41/100 โ€” 3 points below the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($750 above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 41/100, Medical Appliance Technicians faces moderate automation pressure. While tasks like predictive maintenance reducing manual inspection roles are increasingly handled by AI, the role retains significant human elements. The 11,490 workers in this occupation should focus on strengthening skills in setup and calibration of custom production runs and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Medical Appliance Technicians?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Predictive maintenance reducing manual inspection roles

2

Automated CNC programming and machine operation

3

Smart factory scheduling and production optimization

4

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Handling non-standard materials and configurations

โœ“

Troubleshooting complex equipment malfunctions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Drill and tap holes for rivets, and glue, weld, bolt, or rivet parts together to form prosthetic or orthotic devices.

โ€ข

Read prescriptions or specifications to determine the type of product or device to be fabricated and the materials and tools required.

โ€ข

Make orthotic or prosthetic devices, using materials such as thermoplastic and thermosetting materials, metal alloys and leather, and hand or power tools.

โ€ข

Bend, form, and shape fabric or material to conform to prescribed contours of structural components.

โ€ข

Construct or receive casts or impressions of patients' torsos or limbs for use as cutting and fabrication patterns.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Medical software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Mechanical

โ€ข

Design

๐Ÿ“Š vs National Average

Median Wage$47K
+$750

National avg: $46K

Risk Score41/100
-3

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth3.7%
0.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K67%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K57%
Fabric and Apparel Patternmakers33$68K76%