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Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters

Occupation · SOC 47-3015.00

Help plumbers, pipefitters, steamfitters, or pipelayers by performing duties requiring less skill. Duties include using, supplying, or holding materials or tools, and cleaning work area and equipment.

Also called: Plumber's Helper · Conduit Helper · Gas Main Fitter Helper · Hydraulic Plumber Helper · Industrial Gas Fitter Helper · Journeyman Plumber · Marine Pipefitter Helper · Marine Steam Fitter Helper · Pipe Coverer Helper · Pipe Fitter Helper · Plumber Apprentice · Plumber Assistant

Job family: Construction and Extraction Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-47-3015-00/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 4,900 openings a year (+4.9% 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 4th -1.7
LLM task exposure, γ (OpenAI / Eloundou) Low 3rd 0.0
AI assistant applicability (Microsoft) Low 14th 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 0.6 · 49th percentile among occupations · Moderate

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 · +4.9% by 2034
Projected annual openings 4,900
Employment 2024 → 2034 45,300 → 47,500

“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 Construction Labourers · 9313 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 15 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

Building and Construction 4.5
Customer and Personal Service 3.7
Mechanical 3.6
Mathematics 3.5
English Language 3.3
Administration and Management 3.1
Design 2.9
Engineering and Technology 2.9
Education and Training 2.8
Public Safety and Security 2.8
Transportation 2.7

Abilities

Manual Dexterity 3.8
Arm-Hand Steadiness 3.4
Multilimb Coordination 3.4
Oral Comprehension 3.3
Problem Sensitivity 3.3
Trunk Strength 3.3
Extent Flexibility 3.3
Near Vision 3.3
Visualization 3.1
Oral Expression 3.0
Information Ordering 3.0
Finger Dexterity 3.0
Control Precision 3.0
Static Strength 3.0
Speech Recognition 3.0
Deductive Reasoning 2.9
Category Flexibility 2.9
Speech Clarity 2.9
Inductive Reasoning 2.8
Selective Attention 2.8
Stamina 2.8
Depth Perception 2.8

Essential skills

Active Listening 2.9
Critical Thinking 2.9
Monitoring 2.9
Active Learning 2.6

Transferable skills

Judgment and Decision Making 2.9
Coordination 2.8
Complex Problem Solving 2.6

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 Word Word processing software Hot technology

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.

Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.6
Outdoors, Exposed to All Weather Conditions 4.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.5
In an Enclosed Vehicle or Operate Enclosed Equipment 4.3
Spend Time Standing 4.2
Face-to-Face Discussions with Individuals and Within Teams 4.2
Contact With Others 4.1
Spend Time Bending or Twisting Your Body 4.1
Exposed to Cramped Work Space, Awkward Positions 4.0
Work With or Contribute to a Work Group or Team 3.9
Time Pressure 3.8
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.8
Frequency of Decision Making 3.8
Exposed to Very Hot or Cold Temperatures 3.7
Spend Time Making Repetitive Motions 3.7
Physical Proximity 3.7
Indoors, Not Environmentally Controlled 3.6
Telephone Conversations 3.6
Exposed to Minor Burns, Cuts, Bites, or Stings 3.6
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.5
Importance of Being Exact or Accurate 3.5
Exposed to Hazardous Equipment 3.5
Impact of Decisions on Co-workers or Company Results 3.4
Deal With External Customers or the Public in General 3.4
Consequence of Error 3.4
Coordinate or Lead Others in Accomplishing Work Activities 3.4
Outdoors, Under Cover 3.4
Exposed to Contaminants 3.2
Spend Time Walking or Running 3.1
Freedom to Make Decisions 3.1
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.0
Health and Safety of Other Workers 3.0
Work Outcomes and Results of Other Workers 3.0
Dealing With Unpleasant, Angry, or Discourteous People 3.0
Indoors, Environmentally Controlled 3.0
Exposed to Disease or Infections 2.8
Exposed to High Places 2.8
Importance of Repeating Same Tasks 2.8
Determine Tasks, Priorities and Goals 2.7
Level of Competition 2.7

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.

Education of current workers

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

Post-Secondary Certificate 26.8%
Master's Degree 9.7%
Some College Courses 9.2%
Less than a High School Diploma 5.6%

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
Social 1.9
Investigative 1.4
Enterprising 1.3

Interest areas

Physical/Manual Labor 6.2
Mechanics/Electronics 3.1
Construction/Woodwork 2.5
Engineering 2.5
Transportation/Machine Operation 1.8
Mathematics/Statistics 1.5
Nature/Outdoors 1.2

Work styles

Dependability 2.1
Attention to Detail 1.9
Cooperation 1.7
Cautiousness 1.4

Wages & employment

U.S. · annual wages (BLS OEWS)

$31k10th$36k25th$39kMedian$47k75th$55k90th
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.
45k202448k2034 (proj.)+4.9% · 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 $31,050
25th percentile $35,750
Median (50th) $39,270
75th percentile $46,550
90th percentile $54,860
People employed 43,640

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 41,970 $39,130
Plumbing, Heating, and Air-Conditioning Contractors · National industry 37,340 $39,090
Administrative and Support and Waste Management and Remediation Services · Sector 600 $42,750
Temporary Help Services · National industry 280 $46,930
Electrical Contractors and Other Wiring Installation Contractors · National industry 260 $39,690
Manufacturing · Sector 210 $39,130
Utilities · Sector 140 $46,250
Other Building Equipment Contractors · National industry 70 $47,020
Educational Services · Sector 60 $41,190
Mining, Quarrying, and Oil and Gas Extraction · Sector $43,500
Wholesale Trade · Sector $44,040
Real Estate and Rental and Leasing · Sector $39,560

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
Plumbing, Heating, and Air-Conditioning Contractors · National industry 104.17× 37,340
Construction · Sector 18.26× 41,970
Electrical Contractors and Other Wiring Installation Contractors · National industry 0.86× 260
Utilities · Sector 0.85× 140
Temporary Help Services · National industry 0.37× 280
Administrative and Support and Waste Management and Remediation Services · Sector 0.23× 600
Manufacturing · Sector 0.06× 210

Part of the Construction career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters sits at the 4th percentile of AI task-overlap and the 12th 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 Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters Helpers--Extraction Workers Helpers--Carpenters Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters Boilermakers Plumbers, Pipefitters, and Steamfitters 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 Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters — 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 2nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters show 4th-percentile AI task overlap — and about 4,900 annual U.S. openings

  • Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters 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 4,900 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 (+4.9%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $39,270, across about 43,640 U.S. workers.BLS OEWS (May 2024)
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Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters show 4th-percentile AI task overlap — and about 4,900 annual U.S. openings

• Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters 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 4,900 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 (+4.9%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $39,270, across about 43,640 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters". https://singulariki.com/roles/role-47-3015-00
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. "Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters." 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-47-3015-00

APA

Singulariki. (2026). Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-3015-00

BibTeX
@misc{singulariki-role-47-3015-00,
  title  = {Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters},
  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-47-3015-00}
}

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

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