Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They keep wind turbines running by inspecting, fixing, and maintaining them to ensure they produce electricity efficiently.
Summary
The career of a Wind Turbine Service Technician is labeled as "Evolving" because AI is being integrated to improve efficiency and safety. AI tools are increasingly used for predictive maintenance, helping technicians identify problems early by analyzing data from sensors.
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Summary
The career of a Wind Turbine Service Technician is labeled as "Evolving" because AI is being integrated to improve efficiency and safety. AI tools are increasingly used for predictive maintenance, helping technicians identify problems early by analyzing data from sensors.
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AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Wind Turbine Technicians
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
Wind turbine technicians already use lots of sensors and computers. Most modern turbines have built-in sensors (SCADA systems) that monitor blades, gears, and electronics. Researchers say the industry is moving from routine fixes to predictive maintenance – using AI to watch data from these sensors and spot problems before they break [1].
In practice, many farms still rely on basic alarm thresholds, but companies are developing smart software that analyzes vibration, temperature, or oil data to flag issues early [1] [2]. This means the “collect data” task is becoming mostly automated: computers gather and even begin to interpret data, while human technicians use the AI alerts to decide what to fix.
Robots and drones are starting to help with physical tasks too. Drones can fly around turbines and take pictures or use sensors to inspect blades and towers. For example, regulators in the UK now allow drones to inspect wind turbines beyond the pilot’s sight [3].
Some companies have even built climbing robots and special drones that can scrub and repair blades. One firm reports its robot cuts blade maintenance time in half [4]. However, these tools are mostly in testing or early use.
Technicians usually still climb towers or walk the site as usual. In fact, experts stress that AI and drones are meant to aid workers, not replace them [5]. As one write-up notes, UAVs (drones) and AI systems make inspections safer and more efficient, but they turn techs into “remote technology–enabled inspectors” rather than taking their jobs [5] [2].
Tasks like testing electrical circuits or running repair tools remain largely human work, since complex troubleshooting still needs hands-on skill and judgment.

AI Adoption
Several factors influence how quickly wind shops use AI tools. A big driver is cost and safety: turbine downtime is very expensive, often more than labor itself [4]. If AI (for example, good fault prediction) can keep turbines running longer, companies save money.
Also, the wind industry is growing fast – the U.S. Bureau of Labor Statistics projects wind technician jobs to jump by about 50% by 2034 [6] – so finding enough skilled workers is hard. This shortage encourages companies to try technologies (like monitoring software and basic robots) that help each technician do more. Regulators are also helping: for example, the UK’s Civil Aviation Authority now allows drones to inspect high towers [3], which opens the door for more drone use elsewhere.
On the other hand, new AI systems can be expensive and tricky to set up. Offshore wind farms need reliable 5G or 6G networks to use real-time AI monitoring, for instance [2], and not every site has that yet. Some companies worry about trusting AI to make decisions without a human double-check.
In general, though, social acceptance is fairly positive: most people welcome drones and AI when they know it keeps workers safer and jobs more interesting. Experts say AI will likely augment wind technicians. In other words, computers and drones will handle some grunt or dangerous parts of the job, while people do the creative problem-solving and complex fixes.
This way, the human skills of troubleshooting and care remain valuable even as technology advances [5] [4]. In short, AI is gradually being added to this field – boosting efficiency and safety – but it’s seen more as a helper than a replacement for people.

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Median Wage
$62,580
Jobs (2024)
13,600
Growth (2024-34)
+49.9%
Annual Openings
2,300
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Troubleshoot or repair mechanical, hydraulic, or electrical malfunctions related to variable pitch systems, variable speed control systems, converter systems, or related components.
Climb wind turbine towers to inspect, maintain, or repair equipment.
Test electrical components of wind systems with devices such as voltage testers, multimeters, oscilloscopes, infrared testers, or fiber optic equipment.
Test structures, controls, or mechanical, hydraulic, or electrical systems, according to test plans or in coordination with engineers.
Train end-users, distributors, installers, or other technicians in wind commissioning, testing, or other technical procedures.
Inspect or repair fiberglass turbine blades.
Diagnose problems involving wind turbine generators or control systems.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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