34
/100

SOC 49-1011

First-Line Supervisors of Mechanics, Installers, and Repairers

ModerateFrey/Osborne: 0.3%

Risk Score

โš ๏ธ

34/100

Moderate

US Employment

๐Ÿ‘ฅ

600,680

Total workers

Median Wage

๐Ÿ’ฐ

$78K

$48K โ€“ $124K

Projected Growth

๐Ÿ“ˆ

+3.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

68/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก First-Line Supervisors of Mechanics, Installers, and Repairers face a risk score of 34/100 โ€” 10 points below the national average of 44. With 68/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $78K ($32K 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 34/100, First-Line Supervisors of Mechanics, Installers, and Repairers faces moderate automation pressure. While tasks like ai-powered research and literature review tools are increasingly handled by AI, the role retains significant human elements. The 600,680 workers in this occupation should focus on strengthening skills in customer communication about technical issues and diagnosing novel equipment failures through physical inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace First-Line Supervisors of 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

AI-powered research and literature review tools

2

Robotic inspection of hard-to-reach equipment

3

AI parts inventory and supply chain optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Customer communication about technical issues

โœ“

Diagnosing novel equipment failures through physical inspection

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, test, and measure completed work, using devices such as hand tools or gauges to verify conformance to standards or repair requirements.

โ€ข

Inspect and monitor work areas, examine tools and equipment, and provide employee safety training to prevent, detect, and correct unsafe conditions or violations of procedures and safety rules.

โ€ข

Interpret specifications, blueprints, or job orders to construct templates and lay out reference points for workers.

โ€ข

Monitor employees' work levels and review work performance.

โ€ข

Perform skilled repair or maintenance operations, using equipment such as hand or power tools, hydraulic presses or shears, or welding equipment.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Inventory management software

โ€ข

Project management software

โ€ข

Facilities management software

โ€ข

Accounting software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Administration and Management

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

Administrative

โ€ข

Personnel and Human Resources

๐Ÿ“Š vs National Average

Median Wage$78K
+$32K

National avg: $46K

Risk Score34/100
-10

National avg: 44/100

GenAI Exposure68/100
+30

National avg: 38/100

Projected Growth3.1%
-0.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K53%
Electrical Power-Line Installers and Repairers28$93K72%
Supervisors of Installation, Maintenance, and Repair Workers33$78K77%