Wind Energy Operations Managers

Most exposed tasks

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

• Oversee the maintenance of wind field equipment or structures, such as towers, transformers, electrical collector systems, roadways, or other site assets.79
• Prepare wind field operational budgets.79
• Track and maintain records for wind operations, such as site performance, downtime events, parts usage, or substation events.74

Augmentable tasks

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

• Estimate costs associated with operations, including repairs or preventive maintenance.59
• Supervise employees or subcontractors to ensure quality of work or adherence to safety regulations or policies.55
• Review, negotiate, or approve wind farm contracts.52

Most durable tasks

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

The current data release does not distinguish durable tasks for this role.

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 66 puts Wind Energy Operations Managers in the most-exposed quarter of analyzed occupations. In practice, exposure this high is about the mix: 13 of 16 analyzed tasks lean automatable, 3 augmentable, and 0 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: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Labor-market context

• $141,900median wage
• 622,190employed
• 106,700annual openings
• +4.5%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.

• Hydroelectric Production Managers 71
• Geothermal Production Managers 70
• Biomass Power Plant Managers 75
• Energy Engineers, Except Wind and Solar 38
• Biofuels Production Managers 73
• Clinical Research Coordinators 66

FAQ — Wind Energy Operations Managers

What does a score of 66 mean for a Wind Energy Operations Managers?

It means that, weighted across the 16 tasks we analyzed for this role, the task mix sits at 66 on a 0–100 exposure scale — in the most-exposed quarter 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?

The highest-exposure tasks are: Oversee the maintenance of wind field equipment or structures, such as towers, transformers, electrical collector systems, roadways, or other site assets; Prepare wind field operational budgets; Track and maintain records for wind operations, such as site performance, downtime events, parts usage, or substation events. Exposure is scored per task from structured data, not generated by a language model.

Which parts of this job are most durable?

The current data release does not distinguish durable tasks for this role.

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.