Will AI replace Hydroelectric Production Managers?
AI reaches some of this job’s work, but most of it stays with people.
29/100
Moderate exposure
More exposed to AI than 44% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 48% of the work
What the job involves
Manage operations at hydroelectric power generation facilities. Maintain and monitor hydroelectric plant equipment for efficient and safe plant operations.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(9)
- Monitor or inspect hydroelectric equipment, such as hydro-turbines, generators, or control systems.
- Maintain records of hydroelectric facility operations, maintenance, or repairs.
- Inspect hydroelectric facilities, including switchyards, control houses, or relay houses, for normal operation or adherence to safety standards.
- Develop or implement projects to improve efficiency, economy, or effectiveness of hydroelectric plant operations.
- Plan or coordinate hydroelectric production operations to meet customer requirements.
and 4 more
Out of reach(9)
- Direct operations, maintenance, or repair of hydroelectric power facilities.
- Supervise or monitor hydroelectric facility operations to ensure that generation or mechanical equipment conform to applicable regulations or standards.
- Perform or direct preventive or corrective containment or cleanup to protect the environment.
- Supervise hydropower plant equipment installations, upgrades, or maintenance.
- Provide technical direction in the erection or commissioning of hydroelectric equipment or supporting electrical or mechanical systems.
and 4 more
Also called
Hydroelectric Generation Manager (Hydro Generation Manager) · Hydro Generation Manager · Hydroelectric Station Supervisor (Hydro Station Supervisor) · Plant Manager · Power Plant Superintendent · Power Plant Supervisor · Power Project Manager · Demand Generation Manager
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What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics