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Other Electric Power Generation

National industry · NAICS 221118

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Other Electric Power Generation is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 3,490 workers across 38 detailed occupations in it. A typical worker earns around $114,967 a year (Singulariki estimate, see below).

This U.S. industry comprises establishments primarily engaged in operating electric power generation facilities (except hydroelectric, fossil fuel, nuclear, solar, wind, geothermal, biomass). These facilities convert other forms of energy, such as tidal power, into electric energy. The electric energy produced in these establishments is provided to electric power transmission systems or to electric power distribution systems. Cross-References. Establishments primarily engaged in--

Employment is national May 2024 OEWS. "Typical pay" is Singulariki's own figure — the employment-weighted average of each occupation's national median wage — a rough center of the industry, not an official BLS number.

How exposed this industry is to AI

Weighting every occupation in this industry by its employment and its unified AI-exposure index (the OpenAI "GPTs are GPTs" human-rated task overlap folded with the Felten/Raj/Seamans AIOE index), this industry sits in the High band — 81st percentile across all industries.

Exposure measures how much of the work overlaps with what today's AI can do, not a prediction of automation; high-exposure industries are where AI is most likely to reshape tasks. Employment-weighted across 32 occupations that carry an exposure score. Compare every industry on the AI exposure hub.

How AI is actually used in this industry

Among measured Claude.ai (Free and Pro) conversations mapped to O*NET task statements (Anthropic Economic Index, 2026-01-15), these patterns are most associated with the occupations in this industry, weighted by its employment mix. They are shares of observed AI conversations — not of worker time, revenue, or what could be automated — and reflect one AI assistant's consumer sample, not all AI.

Signal coverage 76.8% of employment · 24/33 occupations have AEI task data
Augmentation vs. automation 39.5% working with AI · 42.9% handed to AI
Most common pattern Directive · AI does it; you give the instruction
Typical AI autonomy 3.5 / 5 · higher = AI acts more independently

Tasks driving the signal

The task families that account for the most AI activity across this industry's occupations (employment × observed usage), each attributed to the occupation it comes from.

Task Occupation How Share of signal
Troubleshoot problems involving office equipment, such as computer hardware and software. Office Clerks, General Feedback loop 22.1%
Develop or analyze information to assess the current or future financial status of firms. Financial Managers Directive 5.0%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 3.7%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 3.5%
Analyze operations to evaluate performance of a company or its staff in meeting objectives or to determine areas of potential cost reduction, program improvement, or policy change. Chief Executives Iteration 2.8%
Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement. General and Operations Managers Directive 2.6%
Develop or maintain internal or external company Web sites. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 2.6%
Present investment information, such as product risks, fees, or fund performance statistics. Managers, All Other Learning 2.5%
Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand. Market Research Analysts and Marketing Specialists Directive 2.0%
Identify, investigate, or resolve security breaches. Managers, All Other Feedback loop 2.0%
Develop or implement product-marketing strategies, including advertising campaigns or sales promotions. General and Operations Managers Iteration 1.9%
Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work. First-Line Supervisors of Office and Administrative Support Workers Iteration 1.8%

Occupations behind the signal

The occupations whose AI-touched tasks contribute most to this industry's signal, by employment here.

Occupation Workers Share How they use AI
General and Operations Managers 590 16.9% Iteration
Financial Managers 250 7.2% Directive
Power Plant Operators 250 7.2% Directive
Accountants and Auditors 170 4.9% Directive
Electrical Engineers 160 4.6% Iteration
Industrial Machinery Mechanics 150 4.3% Directive
Bookkeeping, Accounting, and Auditing Clerks 140 4.0% Directive
Market Research Analysts and Marketing Specialists 120 3.4% Directive
Industrial Production Managers 90 2.6% Directive
Financial and Investment Analysts 80 2.3% Directive
Office Clerks, General 80 2.3% Feedback loop
Managers, All Other 70 2.0% Directive

This rollup is only as complete as the occupation-task matches available for the industry; the coverage figure above is shown so sparse industries do not look falsely precise. AI exposure is not the same as replacement.

Skill & tool metabolism

What this industry's work actually runs on. Each figure is the share of the industry's workers in occupations that significantly rely on a skill, knowledge area, or ability (O*NET importance ≥ 3 of 5), or that use a tool category — its employment reach. This is a measure of how widespread a requirement is across the workforce, not how intensively any one worker uses it. Shares are independent and need not add to 100%.

Based on 89.4% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Critical Thinking 89.4% 3,120
Active Listening 88.3% 3,080
Monitoring 87.1% 3,040
Reading Comprehension 85.1% 2,970
Speaking 84.5% 2,950
Coordination 83.4% 2,910
Time Management 82.2% 2,870
Judgment and Decision Making 81.9% 2,860
Complex Problem Solving 78.8% 2,750
Writing 76.2% 2,660
Active Learning 73.1% 2,550
Social Perceptiveness 62.5% 2,180

Knowledge areas

Knowledge area Employment reach Workers
English Language 89.4% 3,120
Customer and Personal Service 73.9% 2,580
Mathematics 71.1% 2,480
Administration and Management 66.2% 2,310
Computers and Electronics 61.3% 2,140
Administrative 48.4% 1,690
Production and Processing 37.8% 1,320
Economics and Accounting 36.4% 1,270
Personnel and Human Resources 36.4% 1,270
Mechanical 30.9% 1,080
Public Safety and Security 29.8% 1,040
Engineering and Technology 27.2% 950

Abilities

Abilitie Employment reach Workers
Deductive Reasoning 89.4% 3,120
Information Ordering 89.4% 3,120
Near Vision 89.4% 3,120
Oral Comprehension 89.4% 3,120
Oral Expression 89.4% 3,120
Problem Sensitivity 89.4% 3,120
Speech Recognition 89.4% 3,120
Inductive Reasoning 88.3% 3,080
Speech Clarity 85.1% 2,970
Written Comprehension 84.5% 2,950
Category Flexibility 82.2% 2,870
Written Expression 79.1% 2,760

Tool categories

Tool category Employment reach Workers
Electronic mail software 98.3% 3,430
Office suite software 98.3% 3,430
Spreadsheet software 98.3% 3,430
Word processing software 98.3% 3,430
Data base user interface and query software 93.4% 3,260
Enterprise resource planning ERP software 93.4% 3,260
Presentation software 92.3% 3,220
Analytical or scientific software 81.4% 2,840
Project management software 80.8% 2,820
Document management software 73.4% 2,560
Internet browser software 72.8% 2,540
Operating system software 71.6% 2,500
Development environment software 66.5% 2,320
Accounting software 66.2% 2,310
Process mapping and design software 65.9% 2,300

Reach = share of industry employment in occupations where the requirement is significant; it is not a per-worker usage or proficiency measure. Skill, knowledge, and ability importance is from O*NET; tool use is reported presence of a technology category.

Largest occupations

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 37 occupations in Other Electric Power Generation. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Electrical Power-Line Installers and Repairers Wind Turbine Service Technicians Heavy and Tractor-Trailer Truck Drivers Power Plant Operators Administrative Services Managers Shipping, Receiving, and Inventory Clerks First-Line Supervisors of Mechanics, Installers, and Repairers Industrial Production Managers First-Line Supervisors of Production and Operating Workers Architectural and Engineering Managers Business Operations Specialists, All Other Computer User Support Specialists First-Line Supervisors of Office and Administrative Support Workers Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Bookkeeping, Accounting, and Auditing Clerks Financial and Investment Analysts Computer Occupations, All Other AI task-overlap percentile → ↑ Median pay
The largest occupations in this industry with both an AI task-overlap score and a wage, plotted by task-overlap percentile (horizontal) and median-pay percentile (vertical). Overlap measures shared tasks with AI, not automation.

The occupations that employ the most people in this industry, with their share of the industry's workforce and national median pay for the occupation (not industry-specific pay).

Occupation Workers Share National median pay
General and Operations Managers 590 16.9% $160,820
Financial Managers 250 7.2% $196,080
Power Plant Operators 250 7.2% $79,050
Project Management Specialists 230 6.6% $99,140
Accountants and Auditors 170 4.9% $103,410
Electrical Power-Line Installers and Repairers 170 4.9% $74,960
Electrical Engineers 160 4.6% $101,010
Industrial Machinery Mechanics 150 4.3% $71,420
Bookkeeping, Accounting, and Auditing Clerks 140 4.0% $59,590
Market Research Analysts and Marketing Specialists 120 3.4% $71,030
Wind Turbine Service Technicians 100 2.9% $87,880
Industrial Production Managers 90 2.6% $140,540
Software Developers 90 2.6% $129,640
Financial and Investment Analysts 80 2.3% $129,130
Office Clerks, General 80 2.3% $46,910
Managers, All Other 70 2.0% $197,420
Buyers and Purchasing Agents 60 1.7% $72,550
Lawyers 60 1.7% $183,300
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 60 1.7% $49,080
Chief Executives 50 1.4% —
Administrative Services Managers 50 1.4% $144,250
Human Resources Specialists 50 1.4% $84,990
Executive Secretaries and Executive Administrative Assistants 50 1.4% $50,450
First-Line Supervisors of Mechanics, Installers, and Repairers 50 1.4% $103,160
Architectural and Engineering Managers 40 1.1% $161,630
Computer Occupations, All Other 40 1.1% $130,080
First-Line Supervisors of Office and Administrative Support Workers 40 1.1% $104,530
First-Line Supervisors of Production and Operating Workers 40 1.1% $105,570
Heavy and Tractor-Trailer Truck Drivers 40 1.1% $65,030
Sales Managers 30 0.9% $154,330
Human Resources Managers 30 0.9% —
Business Operations Specialists, All Other 30 0.9% $97,630
Computer User Support Specialists 30 0.9% $94,250
Data Scientists — — $94,990
Mechanical Engineers — — $105,560
Engineers, All Other — — $154,910
Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel — — $92,710
Shipping, Receiving, and Inventory Clerks — — $47,050

Most distinctive occupations

The occupations most unusually concentrated in this industry compared with the economy as a whole. The location quotient is how many times more common an occupation is here versus its economy-wide share (a value of 5 means five times as concentrated).

Occupation Concentration Workers
Wind Turbine Service Technicians 393.76× 100
Power Plant Operators 359.53× 250
Electrical Power-Line Installers and Repairers 60.73× 170
Electrical Engineers 37.44× 160
Industrial Machinery Mechanics 15.71× 150
Financial Managers 13.49× 250
Project Management Specialists 10.1× 230
General and Operations Managers 7.27× 590
Market Research Analysts and Marketing Specialists 6.16× 120
Accountants and Auditors 5.19× 170
Bookkeeping, Accounting, and Auditing Clerks 4.25× 140
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The Other Electric Power Generation workforce sits at the 81st percentile of AI task overlap — 3,490 U.S. workers

  • Weighting every occupation by its real share of Other Electric Power Generation employment, the industry's workforce ranks in the 81st percentile (High band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk.Eloundou et al. + Felten AIOE, weighted by BLS OEWS
  • The industry employs about 3,490 U.S. workers across 38 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $114,967.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 40% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
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The Other Electric Power Generation workforce sits at the 81st percentile of AI task overlap — 3,490 U.S. workers

• Weighting every occupation by its real share of Other Electric Power Generation employment, the industry's workforce ranks in the 81st percentile (High band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk. (Eloundou et al. + Felten AIOE, weighted by BLS OEWS)
• The industry employs about 3,490 U.S. workers across 38 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $114,967. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 40% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Other Electric Power Generation". https://singulariki.com/industries/221118
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 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Other Electric Power Generation." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/industries/221118

APA

Singulariki. (2026). Other Electric Power Generation. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/221118

BibTeX 
@misc{singulariki-221118,
  title  = {Other Electric Power Generation},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/industries/221118}
}

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