53
/100

SOC 49-9031

Home Appliance Repairers

ElevatedFrey/Osborne: 72.0%

Risk Score

โš ๏ธ

53/100

Elevated

US Employment

๐Ÿ‘ฅ

31,940

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$33K โ€“ $78K

Projected Growth

๐Ÿ“ˆ

+2.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

27/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Home Appliance Repairers face a risk score of 53/100 โ€” 9 points above the national average of 44. With only 27/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($3K 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 53/100, Home Appliance Repairers faces moderate automation pressure. While tasks like automated fault detection via iot sensor networks are increasingly handled by AI, the role retains significant human elements. The 31,940 workers in this occupation should focus on strengthening skills in hands-on fine motor work in intricate machinery and working in confined, elevated, or hazardous spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Home Appliance Repairers?

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

โš ๏ธ Top Risk Factors

1

Automated fault detection via IoT sensor networks

2

Augmented reality-guided remote diagnostics

3

Robotic inspection of hard-to-reach equipment

4

AI parts inventory and supply chain optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Hands-on fine motor work in intricate machinery

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Customer communication about technical issues

โœ“

Diagnosing novel equipment failures through physical inspection

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

Bill customers for repair work, and collect payment.

โ€ข

Observe and examine appliances during operation to detect specific malfunctions such as loose parts or leaking fluid.

โ€ข

Talk to customers or refer to work orders to establish the nature of appliance malfunctions.

โ€ข

Refer to schematic drawings, product manuals, and troubleshooting guides to diagnose and repair problems.

โ€ข

Trace electrical circuits, following diagrams, and conduct tests with circuit testers and other equipment to locate shorts and grounds.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

โ€ข

Operating system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Administration and Management

โ€ข

Administrative

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score53/100
+9

National avg: 44/100

GenAI Exposure27/100
-11

National avg: 38/100

Projected Growth2.6%
-1.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
Electrical Power-Line Installers and Repairers28$93K80%
Supervisors of Installation, Maintenance, and Repair Workers33$78K70%