65
/100

SOC 49-2096

Electronic Equipment Installers and Repairers, Motor Vehicles

High RiskFrey/Osborne: 61.0%

Risk Score

โš ๏ธ

65/100

High Risk

US Employment

๐Ÿ‘ฅ

10,140

Total workers

Median Wage

๐Ÿ’ฐ

$48K

$32K โ€“ $70K

Projected Growth

๐Ÿ“ˆ

-13.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

38/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Electronic Equipment Installers and Repairers, Motor Vehicles face a risk score of 65/100 โ€” 21 points above the national average of 44. With only 38/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $48K ($2K 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 65/100, Electronic Equipment Installers and Repairers, Motor Vehicles 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 10,140 workers in this occupation should focus on strengthening skills in adapting repairs to non-standard or legacy equipment and hands-on fine motor work in intricate machinery to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Electronic Equipment Installers and Repairers, Motor Vehicles?

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

Robotic inspection of hard-to-reach equipment

3

Automated fault detection via IoT sensor networks

4

Augmented reality-guided remote diagnostics

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Hands-on fine motor work in intricate machinery

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“‹ O*NET Task Profile

โ€ข

Install equipment and accessories, such as stereos, navigation equipment, communication equipment, and security systems.

โ€ข

Inspect and test electrical or electronic systems to locate and diagnose malfunctions, using visual inspections and testing instruments, such as oscilloscopes and voltmeters.

โ€ข

Cut openings and drill holes for fixtures and equipment, using electric drills and routers.

โ€ข

Splice wires with knives or cutting pliers, and solder connections to fixtures and equipment.

โ€ข

Diagnose or repair problems with electronic equipment, such as sound, navigation, communication, and security equipment, in motor vehicles.

๐Ÿ’ป Technology Skills

โ€ข

Analytical or scientific software

โ€ข

Data base user interface and query software

โ€ข

Spreadsheet software

โ€ข

Internet browser 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

Mathematics

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$48K
+$2K

National avg: $46K

Risk Score65/100
+21

National avg: 44/100

GenAI Exposure38/100
0

National avg: 38/100

Projected Growth-13.6%
-17.3%

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%