Will AI replace wind energy engineers?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 8h (100%) stays with people. Separately, BLS expects about 3.7% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

Not in workplaces like this one, based on a 2026 review of robot deployments. 1 more task has only been done in factory setups built around the machine, so it stays with people here.

8h of a typical shift, or 100%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms. (59m a shift)
• Create models to optimize the layout of wind farm access roads, crane pads, crane paths, collection systems, substations, switchyards, or transmission lines. (47m a shift)
• Analyze operation of wind farms or wind farm components to determine reliability, performance, and compliance with specifications. (47m a shift)
• Recommend process or infrastructure changes to improve wind turbine performance, reduce operational costs, or comply with regulations. (36m a shift)
• Oversee the work activities of wind farm consultants or subcontractors. (36m a shift)

On Indeed, job postings in the Mechanical Engineering sector are at 168% of their February 2020 level (all U.S. postings: 104%), up 43.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 8,800 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $122,930 a year ($59.10 an hour), 141% above the median for all U.S. jobs ($50,980). Most people in this job earn between $66,810 and $189,950 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3.7% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 173,000 jobs in 2035. It expects about 8,800 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 154,000 people in the U.S., roughly 0.10% of all workers (BLS, May 2025). That makes it the 211th largest of the 796 jobs on this site. BLS expects about 173,000 in 2035.

The most common requirement is a bachelor's degree: about 70% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Operations Analysis, Mathematics, Science, Systems Analysis
• Get strong at the parts of the job that stay with people (listed above), which take 8h of a typical shift
• Tools employers list: The MathWorks MATLAB, Python, Microsoft PowerPoint, Microsoft Office software, Microsoft Excel

Yes. Occupational experts recently added these to the official task list, a sign of how the work itself is shifting. New tasks aren't rated for AI or robots yet:

• Analyze meteorological data.
• Design electrical interconnections.
• Design wind turbine components.
• Estimate energy production by analyzing wind data.

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Automotive Engineers (1h 13m touched, $104k median pay)
• Civil Engineers (46m touched, $101k median pay)
• Fire-Prevention and Protection Engineers (0m touched, $115k median pay)
• Water/Wastewater Engineers (0m touched, $101k median pay)
• Energy Engineers (29m touched, $123k median pay)

Each task carries its own evidence label. For this job: 16 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.