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Fence Erectors

Occupation · SOC 47-4031.00

Erect and repair fences and fence gates, using hand and power tools.

Also called: Fence Builder · Fence Erector · Fence Installer · Fence Laborer · Fence Contractor · Fence Mechanic · Fence Technician (Fence Tech) · Gate Technician (Gate Tech) · Wood Fence Erector · Chain Link Fence Installer · Fence Repairman · Installer

Job family: Construction and Extraction Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-47-4031-00/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.

4th-percentile task overlap — yet about 2,300 openings a year (+4.6% 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 1st -1.9
LLM task exposure, γ (OpenAI / Eloundou) Low 7th 0.1
AI assistant applicability (Microsoft) Low 14th 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 0.9 · 82nd 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 About average · +4.6% by 2034
Projected annual openings 2,300
Employment 2024 → 2034 26,400 → 27,600

“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.

9% mean task exposure (2025)
2nd percentile of 427 placed occupations
+1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Building Frame and Related Trades Workers Not Elsewhere Classified · 7119 9% 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 20 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

Customer and Personal Service 4.0
Building and Construction 4.0
Transportation 3.9
Administration and Management 3.8
Design 3.7
Mathematics 3.5
English Language 3.4
Education and Training 3.3
Mechanical 3.3
Sales and Marketing 3.2
Production and Processing 3.1
Engineering and Technology 3.1
Public Safety and Security 3.0

Abilities

Manual Dexterity 3.8
Trunk Strength 3.8
Multilimb Coordination 3.6
Static Strength 3.4
Arm-Hand Steadiness 3.3
Finger Dexterity 3.3
Information Ordering 3.1
Control Precision 3.1
Dynamic Strength 3.1
Stamina 3.1
Near Vision 3.1
Oral Comprehension 3.0
Oral Expression 3.0
Problem Sensitivity 3.0
Deductive Reasoning 3.0
Reaction Time 3.0
Extent Flexibility 3.0
Depth Perception 3.0
Speech Recognition 3.0

Essential skills

Active Listening 3.0
Speaking 3.0
Critical Thinking 3.0
Monitoring 3.0

Transferable skills

Coordination 3.0
Time Management 3.0
Operations Monitoring 2.9
Operation and Control 2.9

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
Autodesk AutoCAD Computer aided design CAD software Hot technology
Facebook Web page creation and editing software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Cutlist Plus fx Computer aided design CAD software
Maxwell Systems American Contractor Project management software
Software Design Associates Computer Fencing System CFS Project management 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 4.9
Health and Safety of Other Workers 4.8
Outdoors, Exposed to All Weather Conditions 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.7
Work Outcomes and Results of Other Workers 4.5
Time Pressure 4.5
Determine Tasks, Priorities and Goals 4.5
Spend Time Standing 4.5
Telephone Conversations 4.3
Contact With Others 4.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.3
Exposed to Hazardous Equipment 4.2
Freedom to Make Decisions 4.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.2
Spend Time Making Repetitive Motions 4.1
Consequence of Error 4.1
Importance of Being Exact or Accurate 4.1
Work With or Contribute to a Work Group or Team 4.0
Spend Time Walking or Running 4.0
Physical Proximity 3.9
Spend Time Bending or Twisting Your Body 3.9
In an Enclosed Vehicle or Operate Enclosed Equipment 3.8
Exposed to High Places 3.8
Exposed to Very Hot or Cold Temperatures 3.8
Coordinate or Lead Others in Accomplishing Work Activities 3.8
Level of Competition 3.8
In an Open Vehicle or Operating Equipment 3.7
Deal With External Customers or the Public in General 3.7
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.6
Importance of Repeating Same Tasks 3.5
Impact of Decisions on Co-workers or Company Results 3.3
Exposed to Contaminants 3.3
Exposed to Cramped Work Space, Awkward Positions 3.3
Exposed to Whole Body Vibration 3.3
Conflict Situations 3.2
Exposed to Minor Burns, Cuts, Bites, or Stings 3.1
Written Letters and Memos 3.1
Indoors, Environmentally Controlled 3.1
Spend Time Climbing Ladders, Scaffolds, or Poles 3.0
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.8

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
No formal educational credential · 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.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 47.5%
Less than a High School Diploma 29.4%
Post-Secondary Certificate 1.0%

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 3.7
Investigative 2.1
Artistic 1.4
Social 1.4

Interest areas

Physical/Manual Labor 6.5
Construction/Woodwork 3.3
Transportation/Machine Operation 2.1
Engineering 1.9
Mechanics/Electronics 1.6
Nature/Outdoors 1.5
Sales 1.5
Agriculture 1.4
Management/Administration 1.4

Work styles

Dependability 2.1
Attention to Detail 1.7

Wages & employment

U.S. · annual wages (BLS OEWS)

$35k10th$39k25th$47kMedian$57k75th$75k90th
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.
26k202428k2034 (proj.)+4.6% · 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 $35,090
25th percentile $39,040
Median (50th) $46,940
75th percentile $57,070
90th percentile $74,660
People employed 22,640

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
Construction · Sector 20,010 $47,310
Manufacturing · Sector 500 $47,710
Other Building Equipment Contractors · National industry 280 $53,800
Real Estate and Rental and Leasing · Sector 230 $52,000
Temporary Help Services · National industry 120 $36,090
Other Services (except Public Administration) · Sector 60 $106,540
Electrical Contractors and Other Wiring Installation Contractors · National industry — $47,020
Plumbing, Heating, and Air-Conditioning Contractors · National industry — $48,440
Wholesale Trade · Sector — $36,430
Retail Trade · Sector — $46,800
Administrative and Support and Waste Management and Remediation Services · Sector — $38,600
Landscaping Services · National industry — $36,760

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
Construction · Sector 16.78× 20,010
Other Building Equipment Contractors · National industry 12.42× 280
Real Estate and Rental and Leasing · Sector 0.66× 230
Temporary Help Services · National industry 0.31× 120
Manufacturing · Sector 0.27× 500

Part of the Construction career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Fence Erectors sits at the 4th percentile of AI task-overlap and the 25th 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 Fence Erectors Cement Masons and Concrete Finishers Structural Iron and Steel Workers Drywall and Ceiling Tile Installers Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters Pipelayers Structural Metal Fabricators and Fitters Electrical Power-Line Installers and Repairers 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 Fence Erectors — 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.

Zoom out

On the global GenAI exposure gradient this work sits around the 2nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Fence Erectors show 4th-percentile AI task overlap — and about 2,300 annual U.S. openings

  • Fence Erectors rank in the 4th 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 2,300 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 (+4.6%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $46,940, across about 22,640 U.S. workers.BLS OEWS (May 2024)
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Fence Erectors show 4th-percentile AI task overlap — and about 2,300 annual U.S. openings

• Fence Erectors rank in the 4th 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 2,300 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 (+4.6%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $46,940, across about 22,640 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Fence Erectors". https://singulariki.com/roles/role-47-4031-00
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. "Fence Erectors." 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-47-4031-00

APA

Singulariki. (2026). Fence Erectors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-4031-00

BibTeX 
@misc{singulariki-role-47-4031-00,
  title  = {Fence Erectors},
  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-47-4031-00}
}

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

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