BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

59.1%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

Wind Turbine Service Technicians

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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Learn more about how you can thrive in this position

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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.

Read full analysis

Contributing Sources

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

Learn about this score
Evolving iconEvolving

66.7%

66.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

55.3%

55.3%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

61.0%

61.0%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

49.9%

Growth Percentile:

99.9%

Annual Openings:

2.3

Annual Openings Pct:

24.0%

Analysis of Current AI Resilience

Wind Turbine Technicians

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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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More Career Info

Career: Wind Turbine Service Technicians

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

65% ResilienceCore Task

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

2

65% ResilienceCore Task

Climb wind turbine towers to inspect, maintain, or repair equipment.

3

65% ResilienceCore Task

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

4

65% ResilienceCore Task

Test structures, controls, or mechanical, hydraulic, or electrical systems, according to test plans or in coordination with engineers.

5

65% ResilienceSupplemental

Train end-users, distributors, installers, or other technicians in wind commissioning, testing, or other technical procedures.

6

55% ResilienceCore Task

Inspect or repair fiberglass turbine blades.

7

55% ResilienceCore Task

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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