Electrical Contractors and Other Wiring Installation Contractors
National industry · NAICS 238210
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/industries/238210/context.md directly.
Electrical Contractors and Other Wiring Installation Contractors is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 1,072,160 workers across 188 detailed occupations in it. A typical worker earns around $65,515 a year (Singulariki estimate, see below).
This industry comprises establishments primarily engaged in installing and servicing electrical wiring and equipment. Contractors included in this industry may include both the parts and labor when performing work. These contractors may perform new work, additions, alterations, maintenance, and repairs. Illustrative Examples: Airport runway lighting contractors Fiber optic cable (except transmission line) contractors Alarm system (e.g., fire, burglar), electric, installation only Highway, street, and bridge lighting and electrical signal installation Audio equipment (except automotive) installation contractors Home automation system installation Lighting system installation Cable television hookup contractors Telecommunications equipment and wiring (except transmission line) installation contractors Computer and network cable installation Traffic signal installation Environmental control system installation Cable splicing, electrical or fiber optic 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 Moderate band — 35th 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 154 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 | 82.7% of employment · 95/164 occupations have AEI task data |
| Augmentation vs. automation | 35.2% working with AI · 36.3% handed to AI |
| Most common pattern | Feedback loop · AI does it, then adjusts from your feedback |
| Typical AI autonomy | 3.6 / 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 | 46.2% |
| Diagnose malfunctioning systems, apparatus, or components, using test equipment and hand tools to locate the cause of a breakdown and correct the problem. | Electricians | Feedback loop | 7.3% |
| Use computers for various applications, such as database management or word processing. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 5.0% |
| Conduct searches to find needed information, using such sources as the Internet. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 4.6% |
| Develop or maintain internal or external company Web sites. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 3.5% |
| Perform business management duties, such as maintaining records or files, preparing reports, or ordering supplies or equipment. | Electricians | Iteration | 2.6% |
| Process and prepare documents, such as business or government forms and expense reports. | Office Clerks, General | Directive | 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 | 1.6% |
| Complete work schedules, manage calendars, and arrange appointments. | Office Clerks, General | Directive | 1.1% |
| Classify, record, and summarize numerical and financial data to compile and keep financial records, using journals and ledgers or computers. | Bookkeeping, Accounting, and Auditing Clerks | Directive | 0.9% |
| Operate office machines, such as photocopiers and scanners, facsimile machines, voice mail systems, and personal computers. | Office Clerks, General | Learning | 0.8% |
| Create, maintain, and enter information into databases. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 0.8% |
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 |
|---|---|---|---|
| Electricians | 526,880 | 49.1% | Feedback loop |
| First-Line Supervisors of Construction Trades and Extraction Workers | 78,640 | 7.3% | Directive |
| General and Operations Managers | 30,780 | 2.9% | Iteration |
| Office Clerks, General | 29,810 | 2.8% | Feedback loop |
| Construction Managers | 18,900 | 1.8% | Iteration |
| Telecommunications Equipment Installers and Repairers, Except Line Installers | 18,770 | 1.8% | Feedback loop |
| Bookkeeping, Accounting, and Auditing Clerks | 16,350 | 1.5% | Directive |
| Cost Estimators | 14,760 | 1.4% | Iteration |
| Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | 14,360 | 1.3% | Directive |
| Solar Photovoltaic Installers | 12,500 | 1.2% | Learning |
| Security and Fire Alarm Systems Installers | 11,090 | 1.0% | Directive |
| First-Line Supervisors of Mechanics, Installers, and Repairers | 9,200 | 0.9% | 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 95.4% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.
Skills
| Skill | Employment reach | Workers |
|---|---|---|
| Active Listening | 95.0% | 1,018,960 |
| Critical Thinking | 92.2% | 989,010 |
| Speaking | 92.2% | 988,880 |
| Coordination | 87.8% | 941,570 |
| Judgment and Decision Making | 85.6% | 917,770 |
| Reading Comprehension | 85.3% | 914,830 |
| Time Management | 84.2% | 902,680 |
| Monitoring | 83.9% | 899,630 |
| Complex Problem Solving | 79.8% | 855,170 |
| Writing | 79.4% | 850,990 |
| Active Learning | 75.1% | 805,290 |
| Quality Control Analysis | 73.2% | 784,960 |
Knowledge areas
| Knowledge area | Employment reach | Workers |
|---|---|---|
| Customer and Personal Service | 91.9% | 985,030 |
| Administration and Management | 83.7% | 897,650 |
| Mathematics | 81.5% | 874,060 |
| Mechanical | 77.3% | 828,960 |
| Building and Construction | 72.4% | 776,720 |
| Design | 70.6% | 757,270 |
| English Language | 43.9% | 470,650 |
| Public Safety and Security | 27.9% | 299,340 |
| Computers and Electronics | 21.2% | 226,870 |
| Education and Training | 18.2% | 194,940 |
| Engineering and Technology | 17.9% | 191,810 |
| Administrative | 16.6% | 178,400 |
Abilities
| Abilitie | Employment reach | Workers |
|---|---|---|
| Oral Comprehension | 95.4% | 1,022,820 |
| Near Vision | 95.3% | 1,022,220 |
| Oral Expression | 95.3% | 1,021,780 |
| Information Ordering | 94.9% | 1,017,450 |
| Problem Sensitivity | 94.3% | 1,010,730 |
| Deductive Reasoning | 94.1% | 1,008,490 |
| Speech Clarity | 92.8% | 994,550 |
| Speech Recognition | 91.7% | 982,810 |
| Selective Attention | 87.0% | 932,390 |
| Inductive Reasoning | 86.6% | 928,990 |
| Category Flexibility | 86.3% | 925,390 |
| Written Comprehension | 85.1% | 912,500 |
Tool categories
| Tool category | Employment reach | Workers |
|---|---|---|
| Spreadsheet software | 99.2% | 1,063,490 |
| Office suite software | 99.1% | 1,063,030 |
| Word processing software | 98.4% | 1,055,080 |
| Electronic mail software | 93.1% | 997,780 |
| Data base user interface and query software | 88.8% | 952,130 |
| Operating system software | 85.4% | 916,100 |
| Enterprise resource planning ERP software | 85.0% | 911,050 |
| Computer aided design CAD software | 84.7% | 907,610 |
| Project management software | 84.2% | 902,930 |
| Document management software | 79.6% | 853,280 |
| Analytical or scientific software | 77.6% | 832,080 |
| Process mapping and design software | 71.9% | 770,800 |
| Accounting software | 70.8% | 759,420 |
| Industrial control software | 61.6% | 660,180 |
| Presentation software | 36.8% | 394,220 |
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
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).
Showing the top 40 of 188 occupations by employment.
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).
Write a report on thisheadline · factoids · citation
The Electrical Contractors and Other Wiring Installation Contractors workforce sits at the 35th percentile of AI task overlap — 1,072,160 U.S. workers
- Weighting every occupation by its real share of Electrical Contractors and Other Wiring Installation Contractors employment, the industry's workforce ranks in the 35th percentile (Moderate 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 1,072,160 U.S. workers across 188 occupations.BLS OEWS (May 2024)
- Employment-weighted typical annual pay is about $65,515.BLS OEWS (May 2024)
- Of AI use observed across this industry's occupations, 35% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
The Electrical Contractors and Other Wiring Installation Contractors workforce sits at the 35th percentile of AI task overlap — 1,072,160 U.S. workers • Weighting every occupation by its real share of Electrical Contractors and Other Wiring Installation Contractors employment, the industry's workforce ranks in the 35th percentile (Moderate 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 1,072,160 U.S. workers across 188 occupations. (BLS OEWS (May 2024)) • Employment-weighted typical annual pay is about $65,515. (BLS OEWS (May 2024)) • Of AI use observed across this industry's occupations, 35% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index) Source: Singulariki — "Electrical Contractors and Other Wiring Installation Contractors". https://singulariki.com/industries/238210 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
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Electrical Contractors and Other Wiring Installation Contractors." 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/238210
Singulariki. (2026). Electrical Contractors and Other Wiring Installation Contractors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/238210
@misc{singulariki-238210,
title = {Electrical Contractors and Other Wiring Installation Contractors},
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/238210}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.