51
/100

SOC 49-9098

Helpers--Installation, Maintenance, and Repair Workers

ElevatedFrey/Osborne: 79.0%

Risk Score

โš ๏ธ

51/100

Elevated

US Employment

๐Ÿ‘ฅ

97,540

Total workers

Median Wage

๐Ÿ’ฐ

$39K

$29K โ€“ $55K

Projected Growth

๐Ÿ“ˆ

+2.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

27/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Helpers--Installation, Maintenance, and Repair Workers face a risk score of 51/100 โ€” 7 points above the national average of 44. With only 27/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $39K. 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, Helpers--Installation, Maintenance, and Repair Workers 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 97,540 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 Helpers--Installation, Maintenance, and Repair Workers?

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

AI parts inventory and supply chain optimization

4

Robotic inspection of hard-to-reach equipment

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

Install or replace machinery, equipment, and new or replacement parts and instruments, using hand or power tools.

โ€ข

Examine and test machinery, equipment, components, and parts for defects to ensure proper functioning.

โ€ข

Tend and observe equipment and machinery to verify efficient and safe operation.

โ€ข

Adjust, connect, or disconnect wiring, piping, tubing, and other parts, using hand or power tools.

โ€ข

Clean or lubricate vehicles, machinery, equipment, instruments, tools, work areas, and other objects, using hand tools, power tools, and cleaning equipment.

๐Ÿ’ป Technology Skills

โ€ข

Word processing software

โ€ข

Industrial control software

โ€ข

Computer aided design CAD software

โ€ข

Data base user interface and query software

โ€ข

Facilities management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Building and Construction

โ€ข

Customer and Personal Service

โ€ข

Public Safety and Security

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$39K
$-7K

National avg: $46K

Risk Score51/100
+7

National avg: 44/100

GenAI Exposure27/100
-11

National avg: 38/100

Projected Growth2.3%
-1.4%

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%