Key findings
Generative artificial intelligence (GenAI) is unlikely to automate blue-collar jobs like Wind Turbine Service Technicians.
The unique automation wave may even increase demand for these workers due to the growth of premium goods and services.
GenAI’s inability to perform physical tasks shields blue-collar workers from major disruption.
However, some skills used in this job, such as Equipment Maintenance and Troubleshooting, could be automated in the future.
This could impact but not transform the work, allowing technicians to focus more on critical thinking and problem-solving aspects.
How could AI or automation replace or complement job activities?
Artificial intelligence, automation, or LLMs such as ChatGPT could potentially assist wind turbine service technicians by analyzing data for troubleshooting, conducting routine maintenance, and training technicians.
However, the complex nature of diagnosing and repairing mechanical, hydraulic, or electrical malfunctions in wind turbine systems may require human expertise.
For example, AI could help technicians analyze data to predict maintenance needs, but the physical tasks of climbing towers and repairing equipment would likely still require human intervention.
Job description
Inspect, diagnose, and repair wind turbines. Maintain wind turbine equipment by fixing electrical, mechanical, and hydraulic issues.
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