AI exposure by occupation, O*NET 17-2199.10
Will AI replace Wind Energy Engineers?
Wind Energy Engineers: AI can already handle 3 of 16 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 16 tasks O*NET 30.3 lists for Wind Energy Engineers, from most to least exposed. 3 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Write reports to document wind farm collector system test results. | Estimated | Efficient | |
| Recommend process or infrastructure changes to improve wind turbine performance, reduce operational costs, or comply with regulations. | Estimated | Frontier | |
| Oversee the work activities of wind farm consultants or subcontractors. | Estimated | Frontier | |
| Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load. | Estimated | Efficient | |
| Create models to optimize the layout of wind farm access roads, crane pads, crane paths, collection systems, substations, switchyards, or transmission lines. | Estimated | Frontier | |
| Test wind turbine components, using mechanical or electronic testing equipment. | Estimated | Standard | |
| Test wind turbine equipment to determine effects of stress or fatigue. | Estimated | Standard | |
| Analyze operation of wind farms or wind farm components to determine reliability, performance, and compliance with specifications. | Estimated | Standard | |
| Perform root cause analysis on wind turbine tower component failures. | Estimated | Standard | |
| Provide engineering technical support to designers of prototype wind turbines. | Estimated | Frontier | |
| Develop active control algorithms, electronics, software, electromechanical, or electrohydraulic systems for wind turbines. | Estimated | Frontier | |
| Develop specifications for wind technology components, such as gearboxes, blades, generators, frequency converters, or pad transformers. | Estimated | Frontier | |
| Direct balance of plant (BOP) construction, generator installation, testing, commissioning, or supervisory control and data acquisition (SCADA) to ensure compliance with specifications. | Estimated | Frontier | |
| Design underground or overhead wind farm collector systems. | Estimated | Frontier | |
| Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms. | Estimated | Standard | |
| Monitor wind farm construction to ensure compliance with regulatory standards or environmental requirements. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 16 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 16 of 16. 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 frontier-tier model or lower covers 94% of the role's importance-weighted task work. 94% of the work is something AI can address at some tier, and 6% 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
- 154,070
- Median annual wage
- $122,930
- Middle half of earners
- $90,970 to $158,090
- Projected change, 2024 to 2034
- +2.1%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
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.
- Energy Engineers, Except Wind and Solar 77% skill overlap, about 8 months to move Exposure57
- Wind Energy Development Managers 74% skill overlap, about 9 months to move Exposure53
- Solar Energy Systems Engineers 73% skill overlap, about 10 months to move Exposure58
- Wind Turbine Service Technicians 73% skill overlap, about 10 months to move Exposure22
- Wind Energy Operations Managers 72% skill overlap, about 10 months to move Exposure32
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Wind Energy Engineers and AI
Will AI replace Wind Energy Engineers?
AI already handles 3 of the 16 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 51 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. BLS projects employment to change by +2.1% from 2024 to 2034.
What is the AI exposure of Wind Energy Engineers?
51 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 16 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 16 are estimated from each task's O*NET work activity.
Which Wind Energy Engineers tasks can AI already do?
The tasks with the highest exposure are: Write reports to document wind farm collector system test results; Recommend process or infrastructure changes to improve wind turbine performance, reduce operational costs, or comply with regulations; Oversee the work activities of wind farm consultants or subcontractors. They are the tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 94% of the role's importance-weighted task work. 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 Energy Engineers, and what do they earn?
154,070 people in the United States, with a median annual wage of $122,930 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +2.1% 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 Energy Engineers. 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-energy-engineers
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