49
/100

SOC 49-9071

Maintenance and Repair Workers, General

ElevatedFrey/Osborne: 64.0%

Risk Score

โš ๏ธ

49/100

Elevated

US Employment

๐Ÿ‘ฅ

1,531,700

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$34K โ€“ $76K

Projected Growth

๐Ÿ“ˆ

+3.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

34/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Maintenance and Repair Workers, General face a risk score of 49/100 โ€” 5 points above the national average of 44. With only 34/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($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 49/100, Maintenance and Repair Workers, General faces moderate automation pressure. While tasks like robotic inspection of hard-to-reach equipment are increasingly handled by AI, the role retains significant human elements. The 1,531,700 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 Maintenance and Repair Workers, General?

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

โš ๏ธ Top Risk Factors

1

Robotic inspection of hard-to-reach equipment

2

Automated fault detection via IoT sensor networks

3

AI parts inventory and supply chain optimization

4

Augmented reality-guided remote diagnostics

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“‹ O*NET Task Profile

โ€ข

Perform routine maintenance, such as inspecting drives, motors, or belts, checking fluid levels, replacing filters, or doing other preventive maintenance actions.

โ€ข

Inspect, operate, or test machinery or equipment to diagnose machine malfunctions.

โ€ข

Adjust functional parts of devices or control instruments, using hand tools, levels, plumb bobs, or straightedges.

โ€ข

Repair machines, equipment, or structures, using tools such as hammers, hoists, saws, drills, wrenches, or equipment such as precision measuring instruments or electrical or electronic testing devices.

โ€ข

Order parts, supplies, or equipment from catalogs or suppliers.

๐Ÿ’ป Technology Skills

โ€ข

Operating system software

โ€ข

Computer aided design CAD software

โ€ข

Facilities management software

โ€ข

Calendar and scheduling software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Building and Construction

โ€ข

Mathematics

โ€ข

Production and Processing

๐Ÿ“Š vs National Average

Median Wage$49K
+$2K

National avg: $46K

Risk Score49/100
+5

National avg: 44/100

GenAI Exposure34/100
-4

National avg: 38/100

Projected Growth3.8%
+0.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K63%
Electrical Power-Line Installers and Repairers28$93K72%
Supervisors of Installation, Maintenance, and Repair Workers33$78K77%