35
/100

SOC 49-2000

Electrical and Electronic Equipment Mechanics, Installers, and Repairers

ModerateFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

35/100

Moderate

US Employment

๐Ÿ‘ฅ

479,930

Total workers

Median Wage

๐Ÿ’ฐ

$61K

$38K โ€“ $98K

Projected Growth

๐Ÿ“ˆ

+1.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

35/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Electrical and Electronic Equipment Mechanics, Installers, and Repairers face a risk score of 35/100 โ€” 9 points below the national average of 44. With only 35/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $61K ($15K 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 35/100, Electrical and Electronic Equipment Mechanics, Installers, and 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 479,930 workers in this occupation should focus on strengthening skills in hands-on fine motor work in intricate machinery and customer communication about technical issues to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Electrical and Electronic Equipment Mechanics, Installers, and 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

Robotic inspection of hard-to-reach equipment

3

AI parts inventory and supply chain optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Hands-on fine motor work in intricate machinery

โœ“

Customer communication about technical issues

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Working in confined, elevated, or hazardous spaces

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“Š vs National Average

Median Wage$61K
+$15K

National avg: $46K

Risk Score35/100
-9

National avg: 44/100

GenAI Exposure35/100
-3

National avg: 38/100

Projected Growth1.3%
-2.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K55%
Electrical Power-Line Installers and Repairers28$93K74%
Supervisors of Installation, Maintenance, and Repair Workers33$78K79%