Wind Energy Engineers

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

No strongly automatable task in the current data release.

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Develop specifications for wind technology components, such as gearboxes, blades, generators, frequency converters, or pad transformers.48
• Monitor wind farm construction to ensure compliance with regulatory standards or environmental requirements.48
• Perform root cause analysis on wind turbine tower component failures.47

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Design underground or overhead wind farm collector systems.28
• Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load.30
• Direct balance of plant (BOP) construction, generator installation, testing, commissioning, or supervisory control and data acquisition (SCADA) to ensure compliance with specifications.30

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 41 puts Wind Energy Engineers in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 0 of 16 analyzed tasks lean automatable, 12 augmentable, and 4 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

One next move: adopt AI deliberately on the augmentable tasks and build visible evidence of the durable ones.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $122,930median wage
• 154,070employed
• 9,300annual openings
• +2.1%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Wind Energy Development Managers 50
• Solar Energy Systems Engineers 37
• Energy Engineers, Except Wind and Solar 38
• Aerospace Engineers 40
• Electrical Engineer 34
• Mechanical Engineer 30

FAQ — Wind Energy Engineers

What does a score of 41 mean for a Wind Energy Engineers?

It means that, weighted across the 16 tasks we analyzed for this role, the task mix sits at 41 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

This role has no strongly automatable task in the current data release.

Which parts of this job are most durable?

The most durable responsibilities are: Design underground or overhead wind farm collector systems; Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load; Direct balance of plant (BOP) construction, generator installation, testing, commissioning, or supervisory control and data acquisition (SCADA) to ensure compliance with specifications. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.