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Engineering & Architecture · Updated Aug 2026

Wind Energy Engineers

Design underground or overhead wind farm collector systems and prepare and develop site specifications.

JVS 2.0.0-phase4b
AI Exposure
78/100
Very high

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
68/100
High

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence84/100
Task coverage88%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms.Medium
80
Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load.Medium
81
Recommend process or infrastructure changes to improve wind turbine performance, reduce operational costs, or comply with regulations.Medium
80
Provide engineering technical support to designers of prototype wind turbines.Medium
81
Develop active control algorithms, electronics, software, electromechanical, or electrohydraulic systems for wind turbines.Medium
78
Create models to optimize the layout of wind farm access roads, crane pads, crane paths, collection systems, substations, switchyards, or transmission lines.Medium
80
Develop specifications for wind technology components, such as gearboxes, blades, generators, frequency converters, or pad transformers.Medium
79
Oversee the work activities of wind farm consultants or subcontractors.Medium
81
Test wind turbine equipment to determine effects of stress or fatigue.Medium
79
Test wind turbine components, using mechanical or electronic testing equipment.Medium
78
Analyze operation of wind farms or wind farm components to determine reliability, performance, and compliance with specifications.Medium
79
Monitor wind farm construction to ensure compliance with regulatory standards or environmental requirements.Medium
35
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load.81
  2. Provide engineering technical support to designers of prototype wind turbines.81
  3. Oversee the work activities of wind farm consultants or subcontractors.81
  4. Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms.80
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Monitor wind farm construction to ensure compliance with regulatory standards or environmental requirements.01
  2. Develop active control algorithms, electronics, software, electromechanical, or electrohydraulic systems for wind turbines.02
  3. Test wind turbine components, using mechanical or electronic testing equipment.03
  4. Create models to optimize the layout of wind farm access roads, crane pads, crane paths, collection systems, substations, switchyards, or transmission lines.04
  5. Develop specifications for wind technology components, such as gearboxes, blades, generators, frequency converters, or pad transformers.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency59
Physical dependency29
Adoption pressure58
Labour-market resilience53
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence84/100
CalculatedAug 21, 2026
Read methodology →