42
/100

SOC 49-9062

Medical Equipment Repairers

ElevatedFrey/Osborne: 27.0%

Risk Score

โš ๏ธ

42/100

Elevated

US Employment

๐Ÿ‘ฅ

60,830

Total workers

Median Wage

๐Ÿ’ฐ

$63K

$39K โ€“ $99K

Projected Growth

๐Ÿ“ˆ

+12.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Medical Equipment Repairers face a risk score of 42/100 โ€” 2 points below the national average of 44. With only 44/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $63K ($16K 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 42/100, Medical Equipment Repairers faces moderate automation pressure. While tasks like predictive maintenance ai reducing reactive repair needs are increasingly handled by AI, the role retains significant human elements. The 60,830 workers in this occupation should focus on strengthening skills in diagnosing novel equipment failures through physical inspection and working in confined, elevated, or hazardous spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Medical Equipment Repairers?

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

โš ๏ธ Top Risk Factors

1

Predictive maintenance AI reducing reactive repair needs

2

Augmented reality-guided remote diagnostics

3

Automated fault detection via IoT sensor networks

4

Robotic inspection of hard-to-reach equipment

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Customer communication about technical issues

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

Test or calibrate components or equipment, following manufacturers' manuals and troubleshooting techniques, using hand tools, power tools, or measuring devices.

โ€ข

Perform preventive maintenance or service, such as cleaning, lubricating, or adjusting equipment.

โ€ข

Inspect, test, or troubleshoot malfunctioning medical or related equipment, following manufacturers' specifications and using test and analysis instruments.

โ€ข

Keep records of maintenance, repair, and required updates of equipment.

โ€ข

Disassemble malfunctioning equipment and remove, repair, or replace defective parts, such as motors, clutches, or transformers.

๐Ÿ’ป Technology Skills

โ€ข

Facilities management software

โ€ข

Video conferencing software

โ€ข

Medical software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Computers and Electronics

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Engineering and Technology

๐Ÿ“Š vs National Average

Median Wage$63K
+$16K

National avg: $46K

Risk Score42/100
-2

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth12.9%
+9.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
Electrical Power-Line Installers and Repairers28$93K73%
Supervisors of Installation, Maintenance, and Repair Workers33$78K78%