Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Hydroelectric Production Managers
Occupation · SOC 11-3051.06
Manage operations at hydroelectric power generation facilities. Maintain and monitor hydroelectric plant equipment for efficient and safe plant operations.
Also called: Plant Manager · Power Plant Superintendent · Power Plant Supervisor · Power Project Manager · Hydroelectric Station Supervisor (Hydro Station Supervisor) · Demand Generation Manager · Generation Manager · Hydroelectric Generation Manager (Hydro Generation Manager) · Hydroelectric Generation Supervisor (Hydro Generation Supervisor) · Hydroelectric Plant Site Manager (Hydro Plant Site Manager) · Hydroelectric Production Manager · Hydroelectric Station Chief
Job family: Management Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-3051-06/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+1.9% by 2034)
- 17,100 openings/yr
- Moderate AI exposure
- Median pay $121,440/yr
- Work is mostly on-site (not teleworkable)
- A reversal from 2013 — rated low automation risk then (19th), high AI task-overlap now (50th)
50th-percentile task overlap — yet about 17,100 openings a year (+1.9% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 60th | 0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 52nd | 0.6 | |
| AI assistant applicability (Microsoft) Moderate | 38th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.0 · 19th percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Develop or implement policy evaluation procedures for hydroelectric generation activities. | 0.2% | |
| Develop or implement projects to improve efficiency, economy, or effectiveness of hydroelectric plant operations. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +1.9% by 2034 |
| Projected annual openings | 17,100 |
| Employment 2024 → 2034 | 241,900 → 246,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Hydroelectric Production Managers sits at the 72nd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
38% mean task exposure (2025)
72nd percentile of 427 placed occupations
+2 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Manufacturing Managers · 1321 | 38% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Direct operations, maintenance, or repair of hydroelectric power facilities. Core · importance 4.5
- Identify and communicate power system emergencies. Core · importance 4.2
- Maintain records of hydroelectric facility operations, maintenance, or repairs. Core · importance 4.2
- Monitor or inspect hydroelectric equipment, such as hydro-turbines, generators, or control systems. Core · importance 4.1
- Perform or direct preventive or corrective containment or cleanup to protect the environment. Core · importance 4.1
- Inspect hydroelectric facilities, including switchyards, control houses, or relay houses, for normal operation or adherence to safety standards. Core · importance 4.1
- Supervise or monitor hydroelectric facility operations to ensure that generation or mechanical equipment conform to applicable regulations or standards. Core · importance 4.1
- Plan or coordinate hydroelectric production operations to meet customer requirements. Core · importance 4.1
- Check hydroelectric operations for compliance with prescribed operating limits, such as loads, voltages, temperatures, lines, or equipment. Core · importance 4.1
- Operate energized high- or low-voltage hydroelectric power transmission system substations, according to procedures and safety requirements. Supplemental · importance 4.1
- Develop or implement projects to improve efficiency, economy, or effectiveness of hydroelectric plant operations. Core · importance 3.9
- Provide technical direction in the erection or commissioning of hydroelectric equipment or supporting electrical or mechanical systems. Core · importance 3.8
- Supervise hydropower plant equipment installations, upgrades, or maintenance. Core · importance 3.8
- Plan or manage hydroelectric plant upgrades. Core · importance 3.8
- Create or enforce hydrostation voltage schedules. Supplemental · importance 3.7
- Respond to problems related to ratepayers, water users, power users, government agencies, educational institutions, or other private or public power resource interests. Core · importance 3.6
- Develop or review budgets, annual plans, power contracts, power rates, standing operating procedures, power reviews, or engineering studies. Core · importance 3.6
- Develop or implement policy evaluation procedures for hydroelectric generation activities. Core · importance 3.6
- Negotiate power generation contracts with other public or private utilities. Supplemental
Emerging tasks
Newer responsibilities O*NET has flagged as growing for this occupation.
- Train employees in power plant operations.
Work activities
- Implement organizational process or policy changes.
- Develop procedures to evaluate organizational activities.
- Advise others on green energy or related technologies.
- Develop sustainable organizational policies or practices.
- Direct maintenance and repair activities in green energy production facilities.
- Resolve customer complaints or problems.
- Direct green energy production operations.
- Develop operating strategies, plans, or procedures for green or sustainable operations.
- Manage environmental sustainability projects.
- Operate green energy production equipment.
- Maintain operational records for green energy processes or other environmentally-sustainable activities.
- Inspect operations of green energy facilities.
- Communicate green energy production information.
- Prepare operational budgets for green energy or other green operations.
- Schedule activities or facility use.
- Evaluate green operations or programs for compliance with standards or regulations.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Essential skills
| Active Listening | 4.1 | |
| Speaking | 4.1 | |
| Reading Comprehension | 3.9 | |
| Monitoring | 3.9 | |
| Critical Thinking | 3.8 | |
| Active Learning | 3.6 | |
| Learning Strategies | 3.6 | |
| Writing | 3.5 |
Abilities
| Oral Comprehension | 4.1 | |
| Written Comprehension | 4.1 | |
| Oral Expression | 4.1 | |
| Problem Sensitivity | 3.9 | |
| Deductive Reasoning | 3.9 | |
| Inductive Reasoning | 3.8 | |
| Written Expression | 3.6 | |
| Perceptual Speed | 3.6 | |
| Speech Recognition | 3.6 | |
| Speech Clarity | 3.6 | |
| Information Ordering | 3.5 | |
| Near Vision | 3.5 |
Knowledge
Transferable skills
| Judgment and Decision Making | 3.9 | |
| Time Management | 3.8 | |
| Management of Personnel Resources | 3.8 | |
| Complex Problem Solving | 3.6 | |
| Coordination | 3.5 | |
| Persuasion | 3.4 | |
| Instructing | 3.4 | |
| Service Orientation | 3.4 | |
| Operations Monitoring | 3.4 | |
| Systems Analysis | 3.4 | |
| Systems Evaluation | 3.4 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 41.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 3 — Job Zone Three: Medium Preparation Needed
- Education
- Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
- Preparation level
- SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services , Engineering , Engineering/Engineering-Related Technologies/Technicians , Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Post-Secondary Certificate | 28.9% | |
| Associate's Degree (or other 2-year degree) | 21.3% | |
| Bachelor's Degree | 14.8% | |
| Some College Courses | 14.1% | |
| High School Diploma | 13.6% | |
| Post-Baccalaureate Certificate | 7.2% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Realistic | 5.4 | |
| Conventional | 5.0 | |
| Enterprising | 4.6 | |
| Investigative | 3.6 | |
| Social | 1.8 | |
| Artistic | 1.0 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $74,900 |
| 25th percentile | $94,620 |
| Median (50th) | $121,440 |
| 75th percentile | $156,330 |
| 90th percentile | $197,310 |
| People employed | 234,380 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 11-3051), not for the specialty alone.
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Manufacturing · Sector | 174,750 | $119,930 |
| Wholesale Trade · Sector | 15,530 | $111,080 |
| Professional, Scientific, and Technical Services · Sector | 10,730 | $142,420 |
| Management of Companies and Enterprises · Sector | 7,440 | $155,630 |
| Machine Shops · National industry | 4,590 | $101,690 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 3,600 | $106,340 |
| Utilities · Sector | 3,470 | $157,180 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 3,250 | $132,380 |
| Construction · Sector | 2,540 | $114,990 |
| Transportation and Warehousing · Sector | 2,460 | $114,660 |
| Engineering Services · National industry | 2,130 | $128,080 |
| Other Services (except Public Administration) · Sector | 2,080 | $95,270 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Machine Shops · National industry | 11.62× | 4,590 |
| Manufacturing · Sector | 9.01× | 174,750 |
| Fossil Fuel Electric Power Generation · National industry | 8.67× | 940 |
| Nuclear Electric Power Generation · National industry | 6.91× | 390 |
| Utilities · Sector | 3.94× | 3,470 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 3.73× | 3,250 |
| Jewelry and Silverware Manufacturing · National industry | 3.63× | 110 |
| Testing Laboratories and Services · National industry | 3.17× | 820 |
Related occupations
Part of the Advanced Manufacturing , Management & Entrepreneurship and Supply Chain & Transportation career clusters.
- Geothermal Production Managers · 11-3051.02 Compare →
- Hydroelectric Plant Technicians · 51-8013.04 Compare →
- Biomass Power Plant Managers · 11-3051.04 Compare →
- Power Plant Operators · 51-8013.00 Compare →
- Wind Energy Operations Managers · 11-9199.09 Compare →
- Biofuels Production Managers · 11-3051.03 Compare →
- Wind Energy Development Managers · 11-9199.10 Compare →
- Wind Energy Engineers · 17-2199.10 Compare →
- Wind Turbine Service Technicians · 49-9081.00 Compare →
- Industrial Production Managers · 11-3051.00 Compare →
- Geothermal Technicians · 49-9099.01 Compare →
- Energy Engineers, Except Wind and Solar · 17-2199.03 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Hydroelectric Production Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
- Engineering · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 72nd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Hydroelectric Production Managers show 50th-percentile AI task overlap — and about 17,100 annual U.S. openings
- Hydroelectric Production Managers rank in the 50th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 17,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+1.9%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $121,440, across about 234,380 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Hydroelectric Production Managers show 50th-percentile AI task overlap — and about 17,100 annual U.S. openings • Hydroelectric Production Managers rank in the 50th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 17,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+1.9%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $121,440, across about 234,380 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Hydroelectric Production Managers". https://singulariki.com/roles/role-11-3051-06 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Hydroelectric Production Managers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-11-3051-06
APA
Singulariki. (2026). Hydroelectric Production Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-3051-06
BibTeX
@misc{singulariki-role-11-3051-06,
title = {Hydroelectric Production Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-3051-06}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.