51
/100

SOC 49-2092

Electric Motor, Power Tool, and Related Repairers

ElevatedFrey/Osborne: 76.0%

Risk Score

โš ๏ธ

51/100

Elevated

US Employment

๐Ÿ‘ฅ

16,570

Total workers

Median Wage

๐Ÿ’ฐ

$54K

$36K โ€“ $79K

Projected Growth

๐Ÿ“ˆ

+3.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

25/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Electric Motor, Power Tool, and Related Repairers face a risk score of 51/100 โ€” 7 points above the national average of 44. With only 25/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $54K ($8K 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 51/100, Electric Motor, Power Tool, and Related 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 16,570 workers in this occupation should focus on strengthening skills in customer communication about technical issues and adapting repairs to non-standard or legacy equipment to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Electric Motor, Power Tool, and Related 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

Automated fault detection via IoT sensor networks

3

Augmented reality-guided remote diagnostics

4

Robotic inspection of hard-to-reach equipment

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Customer communication about technical issues

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Hands-on fine motor work in intricate machinery

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

Inspect and test equipment to locate damage or worn parts and diagnose malfunctions, or read work orders or schematic drawings to determine required repairs.

โ€ข

Reassemble repaired electric motors to specified requirements and ratings, using hand tools and electrical meters.

โ€ข

Measure velocity, horsepower, revolutions per minute (rpm), amperage, circuitry, and voltage of units or parts to diagnose problems, using ammeters, voltmeters, wattmeters, and other testing devices.

โ€ข

Repair and rebuild defective mechanical parts in electric motors, generators, and related equipment, using hand tools and power tools.

โ€ข

Lift units or parts such as motors or generators, using cranes or chain hoists, or signal crane operators to lift heavy parts or subassemblies.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Analytical or scientific software

โ€ข

Facilities management software

โ€ข

Data base user interface and query software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Production and Processing

โ€ข

English Language

โ€ข

Administration and Management

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$54K
+$8K

National avg: $46K

Risk Score51/100
+7

National avg: 44/100

GenAI Exposure25/100
-13

National avg: 38/100

Projected Growth3.4%
-0.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K67%
Electrical Power-Line Installers and Repairers28$93K76%
Supervisors of Installation, Maintenance, and Repair Workers33$78K81%