Will AI replace Wind Energy Operations Managers?
Estimated risk score: 57 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 (38 to 76).
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 11-9199.09 · Management
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: 4 of its 16 rated tasks. In O*NET’s words.
- Maintain operations records, such as work orders, site inspection forms, or other documentation.
- Monitor and maintain records of daily facility operations.
- Review, negotiate, or approve wind farm contracts.
- Track and maintain records for wind operations, such as site performance, downtime events, parts usage, or substation events.
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.
- Develop relationships and communicate with customers, site managers, developers, land owners, authorities, utility representatives, or residents.
- Oversee the maintenance of wind field equipment or structures, such as towers, transformers, electrical collector systems, roadways, or other site assets.
- Supervise employees or subcontractors to ensure quality of work or adherence to safety regulations or policies.
What the job is
Manage wind field operations, including personnel, maintenance activities, financial activities, and planning.
Also called: Wind Site Manager, Wind Plant Manager, Wind Operations Supervisor, Energy QC Manager, Service Site Manager, Turbine Site Manager, Wind Site Supervisor, Wind Technician Leader.
Closest jobs we score by hand
In the same field (Management). Different jobs, each scored by a person.
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