AI exposure by occupation, O*NET 11-9199.09

Will AI replace Wind Energy Operations Managers?

Wind Energy Operations Managers: AI can already handle 1 of 16 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 16 tasks O*NET 30.3 lists for Wind Energy Operations Managers, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Review, negotiate, or approve wind farm contracts. 65 Estimated Frontier 3.7
Train or coordinate the training of employees in operations, safety, environmental issues, or technical issues. 50 Estimated Standard 4.3
Develop relationships and communicate with customers, site managers, developers, land owners, authorities, utility representatives, or residents. 50 Estimated Standard 4.0
Develop processes or procedures for wind operations, including transitioning from construction to commercial operations. 50 Estimated Frontier 3.5
Supervise employees or subcontractors to ensure quality of work or adherence to safety regulations or policies. 30 Estimated Standard 4.5
Oversee the maintenance of wind field equipment or structures, such as towers, transformers, electrical collector systems, roadways, or other site assets. 30 Estimated Standard 4.1
Prepare wind field operational budgets. 30 Estimated Standard 4.1
Provide technical support to wind field customers, employees, or subcontractors. 30 Estimated Standard 4.0
Recruit or select wind operations employees, contractors, or subcontractors. 30 Estimated Standard 4.0
Establish goals, objectives, or priorities for wind field operations. 30 Estimated Standard 3.9
Track and maintain records for wind operations, such as site performance, downtime events, parts usage, or substation events. 20 Estimated Efficient 4.2
Maintain operations records, such as work orders, site inspection forms, or other documentation. 20 Estimated Efficient 4.0
Estimate costs associated with operations, including repairs or preventive maintenance. 20 Estimated Efficient 4.0
Monitor and maintain records of daily facility operations. 20 Estimated Efficient 3.9
Order parts, tools, or equipment needed to maintain, restore, or improve wind field operations. 20 Estimated Standard 3.9
Manage warranty repair or replacement services. 20 Estimated Standard 3.6

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 standard-tier model or lower covers 89% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

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
622,190
Median annual wage
$141,900
Middle half of earners
$102,880 to $186,300
Projected change, 2024 to 2034
+4.5%

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.

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

Questions about Wind Energy Operations Managers and AI

Will AI replace Wind Energy Operations Managers?

AI already handles 1 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 32 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 +4.5% from 2024 to 2034.

What is the AI exposure of Wind Energy Operations Managers?

32 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 Operations Managers tasks can AI already do?

The tasks with the highest exposure are: Review, negotiate, or approve wind farm contracts. It is the only task that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 89% 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 Operations Managers, and what do they earn?

622,190 people in the United States, with a median annual wage of $141,900 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +4.5% 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 Operations Managers. 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-operations-managers

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