Mostly Resilient
Last Update: 10/7/2026
AI Resilience Score for Wind Energy Engineers:
59.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
AI Resilience Report forWind Energy Engineers
$122,930 median salary•8,800 annual openings•SOC Code: 17-2199.10
Wind Energy Engineers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Wind Energy Engineers land in the "Mostly Resilient" category because AI is stepping in as a helpful tool rather than a replacement, handling data-heavy tasks like turbine layout optimization, predictive maintenance, and weather forecasting so engineers can focus on higher-level work. The parts of this job that AI cannot easily replicate, like directing construction projects, making judgment calls about regulatory compliance, and weighing the environmental and community impact of decisions, are still very much in human hands.
Learn more about how you can thrive in this position
This role is mostly resilient
Wind Energy Engineers land in the "Mostly Resilient" category because AI is stepping in as a helpful tool rather than a replacement, handling data-heavy tasks like turbine layout optimization, predictive maintenance, and weather forecasting so engineers can focus on higher-level work. The parts of this job that AI cannot easily replicate, like directing construction projects, making judgment calls about regulatory compliance, and weighing the environmental and community impact of decisions, are still very much in human hands.
Read full analysisAnalysis of current AI resilience
Wind Energy Engineers
Updated quarterly
How can Wind Energy Engineers prepare for AI?
Latest AI news for Wind Energy Engineers
These articles highlight how AI is transforming the wind energy sector, making it crucial for aspiring Wind Energy Engineers. For instance, the ZSW article shows how AI enables turbines to adapt autonomously to environmental changes, enhancing efficiency. Additionally, the piece on "AI Applications in Wind-Energy Systems" emphasizes AI's role in increasing turbine safety and reducing risks from equipment failures. By understanding AI's impact, students can better prepare for a resilient career in wind energy, leveraging technology to optimize operations and maximize energy yield.
ZSW: AI in Wind Energy
www.zsw-bw.de • 9/20/2026
Wind turbines can harness the power of AI to adapt independently to changes in environmental conditions and variations in load.
Explainable AI for Wind Energy Systems: State-of-the-art ...
www.sciencedirect.com • 9/20/2026
by JT Dandamudi · 2025 · Cited by 16 — As AI becomes more important throughout the wind energy lifecycle, from analyzing faults at the turbine level to optimizing control at the wind farm level, ... Read more
AI Applications in Wind-Energy Systems
www.windsystemsmag.com • 9/20/2026
Feb 15, 2023 — AI-driven tools not only enhance the safety of turbine operations, but their use also mitigates exposure to risks caused by failed equipment — ... Read more
AI: opportunities for the wind industry
nedzero.nl • 9/20/2026
AI helps by improving the placement of turbines and the management of energy flow to the grid. This can increase energy yield by 5-7%, depending on the location
Agentic AI in Wind Energy Systems
www.linkedin.com • 9/20/2026
In this paper, we explore agentic AI, autonomous, goal-driven agents that work together across turbine, wind farm, and grid levels to handle ...
More Career Info
Career: Wind Energy Engineers
They design and improve wind turbines to produce clean energy, ensuring they work efficiently and safely to generate electricity from the wind.
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Employment & Wage Data
Median Wage
$122,930
Jobs (2025)
166,700
Growth (2025-35)
+3.7%
Annual Openings
8,800
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Direct balance of plant (BOP) construction, generator installation, testing, commissioning, or supervisory control and data acquisition (SCADA) to ensure compliance with specifications.
2
Monitor wind farm construction to ensure compliance with regulatory standards or environmental requirements.
3
Oversee the work activities of wind farm consultants or subcontractors.
4
Test wind turbine equipment to determine effects of stress or fatigue.
5
Provide engineering technical support to designers of prototype wind turbines.
6
Test wind turbine components, using mechanical or electronic testing equipment.
7
Investigate experimental wind turbines or wind turbine technologies for properties such as aerodynamics, production, noise, and load.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
