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Electrical Power-Line Installers and Repairers

Occupation · SOC 49-9051.00

Install or repair cables or wires used in electrical power or distribution systems. May erect poles and light or heavy duty transmission towers.

Also called: Electrical Lineman · Lineworker · Power Lineman · Service Man · Class Gloving Electrical Lineman · Class Rubber Gloving Lineman · Electrical Lineworker · Power Lineman Technician · Third Step Lineman · Troubleman · Aerial Lineman · Cable Inspector

Job family: Installation, Maintenance, and Repair Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-49-9051-00/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.

14th-percentile task overlap — yet about 10,700 openings a year (+6.6% 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.) Low 15th -1.1
LLM task exposure, γ (OpenAI / Eloundou) Low 3rd 0.0
AI assistant applicability (Microsoft) Moderate 34th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). 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 0.1 · 28th percentile among occupations · Low

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 · +6.6% by 2034
Projected annual openings 10,700
Employment 2024 → 2034 127,400 → 135,800

“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.

15% mean task exposure (2025)
19th percentile of 427 placed occupations
+1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Electrical Line Installers and Repairers · 7413 15% 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 23 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).

Abilities

Problem Sensitivity 4.0
Arm-Hand Steadiness 4.0
Multilimb Coordination 4.0
Near Vision 4.0
Deductive Reasoning 3.8
Control Precision 3.8
Oral Comprehension 3.6
Information Ordering 3.6
Manual Dexterity 3.6
Finger Dexterity 3.6
Inductive Reasoning 3.5
Far Vision 3.4
Flexibility of Closure 3.1
Visualization 3.1
Response Orientation 3.1
Reaction Time 3.1
Static Strength 3.1
Trunk Strength 3.1
Stamina 3.1
Extent Flexibility 3.1
Gross Body Equilibrium 3.1

Knowledge

Building and Construction 3.6
English Language 3.4
Education and Training 3.3
Public Safety and Security 3.3
Transportation 3.3
Mechanical 3.3
Customer and Personal Service 3.1

Essential skills

Active Listening 3.4
Monitoring 3.3
Critical Thinking 3.1

Transferable skills

Troubleshooting 3.4
Operations Monitoring 3.3
Operation and Control 3.3
Coordination 3.1
Complex Problem Solving 3.1
Repairing 3.1
Quality Control Analysis 3.1
Judgment and Decision Making 3.1
Systems Analysis 3.1

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
Bentley MicroStation Computer aided design CAD software Hot technology
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
Zoom Video conferencing software Hot technology
Computer aided design and drafting CADD software Computer aided design CAD software
Email software Electronic mail software
Geographic information system GIS systems Geographic information system
Global positioning system GPS software Mobile location based services 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.

Outdoors, Exposed to All Weather Conditions 5.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 5.0
Exposed to Hazardous Conditions 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.9
Work With or Contribute to a Work Group or Team 4.9
Health and Safety of Other Workers 4.9
Exposed to High Places 4.8
Exposed to Hazardous Equipment 4.8
Frequency of Decision Making 4.8
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 4.7
Contact With Others 4.6
Importance of Being Exact or Accurate 4.6
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.5
Impact of Decisions on Co-workers or Company Results 4.5
In an Enclosed Vehicle or Operate Enclosed Equipment 4.5
Exposed to Extremely Bright or Inadequate Lighting Conditions 4.4
Telephone Conversations 4.4
Work Outcomes and Results of Other Workers 4.4
In an Open Vehicle or Operating Equipment 4.4
Exposed to Minor Burns, Cuts, Bites, or Stings 4.3
Exposed to Very Hot or Cold Temperatures 4.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.3
Freedom to Make Decisions 4.3
Spend Time Standing 4.2
Physical Proximity 4.2
Coordinate or Lead Others in Accomplishing Work Activities 4.1
Time Pressure 4.1
Consequence of Error 4.1
Determine Tasks, Priorities and Goals 3.9
E-Mail 3.9
Indoors, Not Environmentally Controlled 3.9
Exposed to Contaminants 3.7
Deal With External Customers or the Public in General 3.7
Exposed to Cramped Work Space, Awkward Positions 3.6
Spend Time Bending or Twisting Your Body 3.4
Spend Time Making Repetitive Motions 3.4
Level of Competition 3.3
Conflict Situations 3.2
Exposed to Whole Body Vibration 3.2
Spend Time Keeping or Regaining Balance 3.2

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

What to study: Construction Trades . 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.

High School Diploma 50.3%
Post-Secondary Certificate 18.9%
Less than a High School Diploma 18.1%
Some College Courses 9.9%
First Professional Degree 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 3.8
Investigative 2.7

Interest areas

Mechanics/Electronics 6.3
Physical/Manual Labor 6.2
Transportation/Machine Operation 4.7
Engineering 4.5
Nature/Outdoors 2.2
Construction/Woodwork 2.0

Work styles

Dependability 5.0
Attention to Detail 4.0
Cautiousness 3.0
Stress Tolerance 2.4
Perseverance 2.0
Integrity 1.9
Self-Control 1.8

Wages & employment

U.S. · annual wages (BLS OEWS)

$50k10th$66k25th$93kMedian$108k75th$127k90th
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.
127k2024136k2034 (proj.)+6.6% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $50,020
25th percentile $65,740
Median (50th) $92,560
75th percentile $107,940
90th percentile $126,610
People employed 123,680

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 60,620 $102,050
Construction · Sector 45,860 $75,020
Power and Communication Line and Related Structures Construction · National industry 37,070 $72,550
Fossil Fuel Electric Power Generation · National industry 6,440 $107,160
Electrical Contractors and Other Wiring Installation Contractors · National industry 6,260 $73,590
Hydroelectric Power Generation · National industry 640 $116,540
Management of Companies and Enterprises · Sector 510 $96,150
Information · Sector 370 $56,640
Nuclear Electric Power Generation · National industry 310 $105,400
Professional, Scientific, and Technical Services · Sector 310 $60,930
Other Services (except Public Administration) · Sector 290 $109,700
Transportation and Warehousing · Sector 270 $84,370

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
Power and Communication Line and Related Structures Construction · National industry 197.37× 37,070
Utilities · Sector 130.42× 60,620
Hydroelectric Power Generation · National industry 116.65× 640
Fossil Fuel Electric Power Generation · National industry 112.62× 6,440
Other Electric Power Generation · National industry 60.73× 170
Nuclear Electric Power Generation · National industry 10.41× 310
Electrical Contractors and Other Wiring Installation Contractors · National industry 7.28× 6,260
Construction · Sector 7.04× 45,860

Part of the Energy & Natural Resources career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Electrical Power-Line Installers and Repairers sits at the 14th percentile of AI task-overlap and the 77th 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 Electrical Power-Line Installers and Repairers Helpers--Electricians Pipelayers Hoist and Winch Operators Signal and Track Switch Repairers Riggers Telecommunications Line Installers and Repairers Electricians Electrical and Electronics Repairers, Powerhouse, Substation, and Relay 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 Electrical Power-Line Installers and Repairers — 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 19th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Electrical Power-Line Installers and Repairers show 14th-percentile AI task overlap — and about 10,700 annual U.S. openings

  • Electrical Power-Line Installers and Repairers rank in the 14th 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 10,700 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 (+6.6%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $92,560, across about 123,680 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Electrical Power-Line Installers and Repairers show 14th-percentile AI task overlap — and about 10,700 annual U.S. openings

• Electrical Power-Line Installers and Repairers rank in the 14th 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 10,700 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 (+6.6%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $92,560, across about 123,680 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Electrical Power-Line Installers and Repairers". https://singulariki.com/roles/role-49-9051-00
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. "Electrical Power-Line Installers and Repairers." 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-49-9051-00

APA

Singulariki. (2026). Electrical Power-Line Installers and Repairers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-49-9051-00

BibTeX
@misc{singulariki-role-49-9051-00,
  title  = {Electrical Power-Line Installers and Repairers},
  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-49-9051-00}
}

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

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