AI exposure by occupation, O*NET 49-9081.00

Will AI replace Wind Turbine Service Technicians?

Wind Turbine Service Technicians: AI does not yet handle any of the role's 12 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.

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Every task, scored

The 12 tasks O*NET 30.3 lists for Wind Turbine Service Technicians, from most to least exposed. None reaches 60, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Test structures, controls, or mechanical, hydraulic, or electrical systems, according to test plans or in coordination with engineers. 50 Estimated Standard 4.1
Train end-users, distributors, installers, or other technicians in wind commissioning, testing, or other technical procedures. 35 Estimated Efficient 3.8
Troubleshoot or repair mechanical, hydraulic, or electrical malfunctions related to variable pitch systems, variable speed control systems, converter systems, or related components. 30 Estimated Standard 4.7
Climb wind turbine towers to inspect, maintain, or repair equipment. 20 Estimated Efficient 4.5
Maintain tool and spare parts inventories required for repair, installation, or replacement services. 20 Estimated Standard 4.1
Inspect or repair fiberglass turbine blades. 20 Estimated Efficient 3.5
Perform routine maintenance on wind turbine equipment, underground transmission systems, wind fields substations, or fiber optic sensing and control systems. 15 Estimated No tier 4.6
Test electrical components of wind systems with devices, such as voltage testers, multimeters, oscilloscopes, infrared testers, or fiber optic equipment. 15 Estimated No tier 4.5
Start or restart wind turbine generator systems to ensure proper operations. 15 Estimated No tier 4.5
Collect turbine data for testing or research and analysis. 15 Estimated No tier 3.8
Assist in assembly of individual wind generators or construction of wind farms. 15 Estimated No tier 3.1
Diagnose problems involving wind turbine generators or control systems. 10 Estimated No tier 4.6

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 12 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 12 of 12. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 50% of the role's importance-weighted task work. 50% of the work is something AI can address at some tier, and 50% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
9,980
Median annual wage
$64,120
Middle half of earners
$58,840 to $78,010
Projected change, 2024 to 2034
+49.9%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Wind Turbine Service Technicians and AI

Will AI replace Wind Turbine Service Technicians?

Not on current evidence. None of the 12 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 22 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.

What is the AI exposure of Wind Turbine Service Technicians?

22 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 12 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 12 are estimated from each task's O*NET work activity.

Which Wind Turbine Service Technicians tasks can AI already do?

None reaches 60 yet. The most exposed task is: Test structures, controls, or mechanical, hydraulic, or electrical systems, according to test plans or in coordination with engineers, at 50 out of 100.

What AI model tier does this role need?

A standard-tier model or lower covers 50% of the role's importance-weighted task work, and 50% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Wind Turbine Service Technicians, and what do they earn?

9,980 people in the United States, with a median annual wage of $64,120 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +49.9% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Wind Turbine Service Technicians. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/wind-turbine-service-technicians

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