Community Sentiment
Do you agree?
Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Wind Energy Operations Managers?
Task-level automation exposure for Wind Energy Operations Managers: 16 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
52%
weighted task index
16 of 16 tasks scored
Median Salary
$141,900 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
622,190 people hold this job — size, not growth
Projected 2025–35
+4.9%
employment change
100,900 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$79,900 – $182,950
Highest medians
Massachusetts $182,950
District of Columbia $175,720
California $174,560
Colorado $171,140
Delaware $168,060
Lowest medians
Indiana $79,900
Puerto Rico $82,250
Arkansas $87,520
Virgin Islands $95,530
Tennessee $99,430
State figures come from the 11-9199 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 52%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 55%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 21%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 76/100
High
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 50%
8 tasks
Medium exposure (≥ 35%) 18%
3 tasks
Low exposure (below 35%) 32%
5 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#15822 · Core · 28% automatable
Supervise employees or subcontractors to ensure quality of work or adherence to safety regulations or policies.
interpersonal — Directing workers in the field is human supervision
Supervise workers performing environmentally sustainable activities.
#15808 · Core · 49% automatable
Train or coordinate the training of employees in operations, safety, environmental issues, or technical issues.
text generation — Compliance content AI-draftable; live training human
Train employees on environmental awareness, conservation, or safety topics. Conduct employee training programs.
#15809 · Core · 72% automatable
Track and maintain records for wind operations, such as site performance, downtime events, parts usage, or substation events.
data analysis — Maintain sustainability records; human owns compliance
Maintain operational records for green energy processes or other environmentally-sustainable activities.
#15823 · Core · 22% automatable
Oversee the maintenance of wind field equipment or structures, such as towers, transformers, electrical collector systems, roadways, or other site assets.
physical manipulation — Green facility maintenance direction needs on-site authority
Direct maintenance and repair activities in green energy production facilities.
#15821 · Core · 68% automatable
Prepare wind field operational budgets.
data analysis — Green operational budget drafting from cost assumptions
Prepare operational budgets for green energy or other green operations.
#15819 · Core · 28% automatable
Develop relationships and communicate with customers, site managers, developers, land owners, authorities, utility representatives, or residents.
interpersonal — Interpersonal business relationships are inherently human
Establish interpersonal business relationships to facilitate work activities.
#15813 · Core · 72% automatable
Maintain operations records, such as work orders, site inspection forms, or other documentation.
data analysis — Maintain sustainability records; human owns compliance
Maintain operational records for green energy processes or other environmentally-sustainable activities.
#15815 · Core · 55% automatable
Recruit or select wind operations employees, contractors, or subcontractors.
interpersonal — AI drafts outreach; human builds candidate relationships
Recruit personnel.
#15810 · Core · 65% automatable
Provide technical support to wind field customers, employees, or subcontractors.
information retrieval — Green energy advice is knowledge-based with tailoring
Advise others on green energy or related technologies.
#15817 · Core · 62% automatable
Estimate costs associated with operations, including repairs or preventive maintenance.
data analysis — Green project cost estimation from inputs
Estimate green project costs.
#15816 · Core · 72% automatable
Monitor and maintain records of daily facility operations.
data analysis — Maintain sustainability records; human owns compliance
Maintain operational records for green energy processes or other environmentally-sustainable activities.
#15818 · Core · 58% automatable
Establish goals, objectives, or priorities for wind field operations.
text generation — Goals drafted; leadership accountability human
Develop organizational goals or objectives.
#15812 · Core · 65% automatable
Order parts, tools, or equipment needed to maintain, restore, or improve wind field operations.
decision support — Procurement drafting and comparison; human commits funds
Purchase materials, equipment, or other resources.
#15814 · Core · 33% automatable
Review, negotiate, or approve wind farm contracts.
interpersonal — Contract negotiation needs authority and accountability
Approve expenditures. Negotiate contracts for environmental remediation, green energy, or renewable resources.
#15811 · Core · 25% automatable
Manage warranty repair or replacement services.
physical manipulation — Facility maintenance direction requires hands-on site oversight
Direct facility maintenance or repair activities.
#15820 · Core · 60% automatable
Develop processes or procedures for wind operations, including transitioning from construction to commercial operations.
text generation — Strategies drafted; operational feasibility human-owned
Develop operating strategies, plans, or procedures for green or sustainable operations.
Embed this calculator on your site ↓
Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.
<div class="giniloh-calculator-embed" data-calculator="wind-energy-operations-managers"></div>
<script src="https://giniloh.com/embed.js" async></script> Method
How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
Best AI Proof Jobs in a Changing Market
Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.
Read Article ->