Will AI replace Wind Energy Engineers?
Estimated risk score: 53 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (34 to 72).
For the occupation as a whole, from ratings of its 16 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 17-2199.10 · Architecture and Engineering
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 16 rated tasks. In O*NET’s words.
- Write reports to document wind farm collector system test results.
- Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms.
- Develop active control algorithms, electronics, software, electromechanical, or electrohydraulic systems for wind turbines.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 16 rated tasks. In O*NET’s words.
- Test wind turbine equipment to determine effects of stress or fatigue.
- Direct balance of plant (BOP) construction, generator installation, testing, commissioning, or supervisory control and data acquisition (SCADA) to ensure compliance with specifications.
- Test wind turbine components, using mechanical or electronic testing equipment.
What the job is
Design underground or overhead wind farm collector systems and prepare and develop site specifications.
Also called: Wind Energy Consultant, SCADA Engineer, Turbine Engineer, Wind Farm Designer, Wind Farm Engineer, Wind Power Specialist, Wind Turbine Engineer, Wind Turbine Design Engineer.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate