46
/100

SOC 49-9081

Wind Turbine Service Technicians

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

46/100

Elevated

US Employment

๐Ÿ‘ฅ

11,220

Total workers

Median Wage

๐Ÿ’ฐ

$63K

$49K โ€“ $88K

Projected Growth

๐Ÿ“ˆ

+49.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

45/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Wind Turbine Service Technicians face a risk score of 46/100 โ€” 2 points above the national average of 44. With only 45/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $63K ($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 46/100, Wind Turbine Service Technicians faces moderate automation pressure. While tasks like automated fault detection via iot sensor networks are increasingly handled by AI, the role retains significant human elements. The 11,220 workers in this occupation should focus on strengthening skills in hands-on fine motor work in intricate machinery and adapting repairs to non-standard or legacy equipment to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Wind Turbine Service Technicians?

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

โš ๏ธ Top Risk Factors

1

Automated fault detection via IoT sensor networks

2

Robotic inspection of hard-to-reach equipment

3

Augmented reality-guided remote diagnostics

4

AI parts inventory and supply chain optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Hands-on fine motor work in intricate machinery

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Customer communication about technical issues

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

Troubleshoot or repair mechanical, hydraulic, or electrical malfunctions related to variable pitch systems, variable speed control systems, converter systems, or related components.

โ€ข

Perform routine maintenance on wind turbine equipment, underground transmission systems, wind fields substations, or fiber optic sensing and control systems.

โ€ข

Diagnose problems involving wind turbine generators or control systems.

โ€ข

Test electrical components of wind systems with devices, such as voltage testers, multimeters, oscilloscopes, infrared testers, or fiber optic equipment.

โ€ข

Start or restart wind turbine generator systems to ensure proper operations.

๐Ÿ’ป Technology Skills

โ€ข

Analytical or scientific software

โ€ข

Facilities management software

โ€ข

Enterprise resource planning ERP software

โ€ข

Industrial control software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Computers and Electronics

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Engineering and Technology

๐Ÿ“Š vs National Average

Median Wage$63K
+$16K

National avg: $46K

Risk Score46/100
+2

National avg: 44/100

GenAI Exposure45/100
+7

National avg: 38/100

Projected Growth49.9%
+46.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
Electrical Power-Line Installers and Repairers28$93K81%
Supervisors of Installation, Maintenance, and Repair Workers33$78K71%