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Hydroelectric Plant Technicians

Occupation · SOC 51-8013.04

Monitor and control activities associated with hydropower generation. Operate plant equipment, such as turbines, pumps, valves, gates, fans, electric control boards, and battery banks. Monitor equipment operation and performance and make necessary adjustments to ensure optimal performance. Perform equipment maintenance and repair as necessary.

Also called: Hydro Technician (Hydro Tech) · Hydroelectric Mechanic · Operations and Maintenance Technician (O and M Technician) · Power Plant Mechanic · Hydro Plant Technician (Hydro Plant Tech) · Hydroelectric Operations and Maintenance Technician (Hydro O and M Technician) · Hydroelectric Operator · Hydroelectric Plant Mechanic · Plant Mechanic · Power Plant Technician (Power Plant Tech) · Communications and Instrumentation Mechanic (C and I Mechanic) · Hydro Mechanic

Job family: Production Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-8013-04/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.

21st-percentile task overlap — yet about 2,500 openings a year (-11.2% 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 39th -0.3
LLM task exposure, γ (OpenAI / Eloundou) Low 14th 0.1
AI assistant applicability (Microsoft) Low 17th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.1). 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.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

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 0.8 · 71st percentile among occupations · High

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -11.2% by 2034
Projected annual openings 2,500
Employment 2024 → 2034 31,600 → 28,000

“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.

28% mean task exposure (2025)
51st percentile of 427 placed occupations
−7 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Power Production Plant Operators · 3131 28% Not exposed

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 21 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Mechanical 4.9
Public Safety and Security 4.3
Mathematics 4.3
Engineering and Technology 4.1
Education and Training 4.0
Design 3.9
Computers and Electronics 3.9
English Language 3.9
Physics 3.8
Building and Construction 3.8
Administration and Management 3.6
Production and Processing 3.6
Law and Government 3.5
Transportation 3.4
Administrative 3.3
Telecommunications 3.3

Essential skills

Critical Thinking 3.9
Monitoring 3.6
Reading Comprehension 3.3
Active Listening 3.1
Speaking 3.1

Transferable skills

Operations Monitoring 3.9
Equipment Maintenance 3.9
Operation and Control 3.8
Repairing 3.5
Troubleshooting 3.4

Abilities

Problem Sensitivity 3.9
Near Vision 3.9
Information Ordering 3.8
Control Precision 3.8
Oral Comprehension 3.6
Deductive Reasoning 3.6
Inductive Reasoning 3.5
Selective Attention 3.5
Oral Expression 3.4
Perceptual Speed 3.4
Visualization 3.4
Speech Recognition 3.4
Written Comprehension 3.3
Far Vision 3.3

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Word Word processing software Hot technology
Computerized maintenance management system CMMS Facilities management software
Distributed control system DCS Industrial control software
IBM Lotus Notes Electronic mail software
Supervisory control and data acquisition SCADA software Industrial control software
Web browser software Internet browser software

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.

Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 5.0
Face-to-Face Discussions with Individuals and Within Teams 4.9
E-Mail 4.9
Work With or Contribute to a Work Group or Team 4.6
Contact With Others 4.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.2
Health and Safety of Other Workers 4.2
Exposed to Hazardous Conditions 4.1
Telephone Conversations 4.1
Exposed to Hazardous Equipment 4.1
Indoors, Not Environmentally Controlled 4.1
In an Enclosed Vehicle or Operate Enclosed Equipment 4.0
Determine Tasks, Priorities and Goals 3.9
Freedom to Make Decisions 3.8
Importance of Being Exact or Accurate 3.8
Impact of Decisions on Co-workers or Company Results 3.8
Coordinate or Lead Others in Accomplishing Work Activities 3.8
Exposed to Very Hot or Cold Temperatures 3.8
Physical Proximity 3.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.7
Outdoors, Exposed to All Weather Conditions 3.6
Frequency of Decision Making 3.6
Work Outcomes and Results of Other Workers 3.6
Indoors, Environmentally Controlled 3.6
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.6
Spend Time Walking or Running 3.5
Spend Time Standing 3.5
Consequence of Error 3.4
Exposed to Cramped Work Space, Awkward Positions 3.3
Time Pressure 3.2
Exposed to High Places 3.2
Exposed to Minor Burns, Cuts, Bites, or Stings 3.2
Dealing With Unpleasant, Angry, or Discourteous People 3.1
Exposed to Contaminants 3.1
Conflict Situations 3.0
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.0
Importance of Repeating Same Tasks 2.9
Level of Competition 2.9
Deal With External Customers or the Public in General 2.8
Spend Time Bending or Twisting Your Body 2.8

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
High school diploma or equivalent · 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: Engineering/Engineering-Related Technologies/Technicians . 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.

Associate's Degree (or other 2-year degree) 34.0%
Post-Secondary Certificate 34.0%
Some College Courses 22.4%
Bachelor's Degree 6.9%
High School Diploma 2.8%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 7.0
Conventional 4.7
Investigative 3.3
Enterprising 1.8
Social 1.2
Artistic 1.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$60k10th$77k25th$100kMedian$112k75th$129k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
32k202428k2034 (proj.)-11.2% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $59,930
25th percentile $77,400
Median (50th) $99,670
75th percentile $111,980
90th percentile $128,760
People employed 30,720

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 51-8013), 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
Utilities · Sector 21,490 $102,950
Fossil Fuel Electric Power Generation · National industry 11,860 $103,640
Hydroelectric Power Generation · National industry 1,620 $95,150
Biomass Electric Power Generation · National industry 950 $63,470
Administrative and Support and Waste Management and Remediation Services · Sector 950 $77,560
Manufacturing · Sector 770 $71,470
Educational Services · Sector 770 $61,960
Professional, Scientific, and Technical Services · Sector 730 $78,530
Engineering Services · National industry 590 $78,530
Health Care and Social Assistance · Sector 460 $64,370
Management of Companies and Enterprises · Sector 420 $107,870
Wind Electric Power Generation · National industry 410 $75,600

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
Biomass Electric Power Generation · National industry 2591.38× 950
Geothermal Electric Power Generation · National industry 2247.35× 300
Hydroelectric Power Generation · National industry 1188.73× 1,620
Fossil Fuel Electric Power Generation · National industry 834.99× 11,860
Other Electric Power Generation · National industry 359.53× 250
Wind Electric Power Generation · National industry 207.23× 410
Utilities · Sector 186.15× 21,490
Solar Electric Power Generation · National industry 82.75× 230

Part of the Energy & Natural Resources career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Hydroelectric Plant Technicians sits at the 21st percentile of AI task-overlap and the 82nd percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Hydroelectric Plant Technicians Water and Wastewater Treatment Plant and System Operators Maintenance and Repair Workers, General Wind Turbine Service Technicians Gas Plant Operators Stationary Engineers and Boiler Operators Biomass Power Plant Managers Power Distributors and Dispatchers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

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 Plant Technicians — 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.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 51st percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Hydroelectric Plant Technicians show 21st-percentile AI task overlap — and about 2,500 annual U.S. openings

  • Hydroelectric Plant Technicians rank in the 21st percentile (Low 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 2,500 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 declining (-11.2%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $99,670, across about 30,720 U.S. workers.BLS OEWS (May 2024)
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Hydroelectric Plant Technicians show 21st-percentile AI task overlap — and about 2,500 annual U.S. openings

• Hydroelectric Plant Technicians rank in the 21st percentile (Low 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 2,500 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 declining (-11.2%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $99,670, across about 30,720 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Hydroelectric Plant Technicians". https://singulariki.com/roles/role-51-8013-04
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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Hydroelectric Plant Technicians." 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; 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-51-8013-04

APA

Singulariki. (2026). Hydroelectric Plant Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-8013-04

BibTeX
@misc{singulariki-role-51-8013-04,
  title  = {Hydroelectric Plant Technicians},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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-51-8013-04}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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