43
/100

SOC 49-9096

Riggers

ElevatedFrey/Osborne: 89.0%

Risk Score

โš ๏ธ

43/100

Elevated

US Employment

๐Ÿ‘ฅ

24,190

Total workers

Median Wage

๐Ÿ’ฐ

$62K

$39K โ€“ $100K

Projected Growth

๐Ÿ“ˆ

+3.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

31/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Riggers face a risk score of 43/100 โ€” 1 points below the national average of 44. With only 31/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $62K ($16K 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 43/100, Riggers 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 24,190 workers in this occupation should focus on strengthening skills in diagnosing novel equipment failures through physical inspection and working in confined, elevated, or hazardous spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Riggers?

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

Augmented reality-guided remote diagnostics

3

Automated fault detection via IoT sensor networks

4

AI parts inventory and supply chain optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Adapting repairs to non-standard or legacy equipment

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

Test rigging to ensure safety and reliability.

โ€ข

Signal or verbally direct workers engaged in hoisting and moving loads to ensure safety of workers and materials.

โ€ข

Control movement of heavy equipment through narrow openings or confined spaces, using chainfalls, gin poles, gallows frames, and other equipment.

โ€ข

Tilt, dip, and turn suspended loads to maneuver over, under, or around obstacles, using multi-point suspension techniques.

โ€ข

Select gear, such as cables, pulleys, and winches, according to load weights and sizes, facilities, and work schedules.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Graphics or photo imaging software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Public Safety and Security

โ€ข

Production and Processing

โ€ข

Customer and Personal Service

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$62K
+$16K

National avg: $46K

Risk Score43/100
-1

National avg: 44/100

GenAI Exposure31/100
-7

National avg: 38/100

Projected Growth3.2%
-0.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
Electrical Power-Line Installers and Repairers28$93K75%
Supervisors of Installation, Maintenance, and Repair Workers33$78K80%