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Reinforcing Iron and Rebar Workers

Occupation · SOC 47-2171.00

Position and secure steel bars or mesh in concrete forms in order to reinforce concrete. Use a variety of fasteners, rod-bending machines, blowtorches, and hand tools. Includes rod busters.

Also called: Iron Installer · Iron Worker · Ironworker · Rodbuster · Field Ironworker · Reinforced Ironworker · Rodman · Steel Tier · Concrete Buster · Concrete Rod Buster · Concrete Worker · Ironworker Welder

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-47-2171-00/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.

7th-percentile task overlap — yet about 1,500 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 0th -2.0
LLM task exposure, γ (OpenAI / Eloundou) Low 19th 0.1
AI assistant applicability (Microsoft) Low 13th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), 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 · 78th 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 1,500
Employment 2024 → 2034 19,400 → 20,300

“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.

11% mean task exposure (2025)
5th percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Structural Metal Preparers and Erectors · 7214 11% 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 7 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Unload rebar from trucks.
  • Use forklifts or cranes to move construction material, such as rebar.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Building and Construction 4.6
Mathematics 3.4
Administration and Management 3.4
Design 3.3
English Language 3.3
Engineering and Technology 3.0

Abilities

Static Strength 3.9
Trunk Strength 3.9
Multilimb Coordination 3.8
Manual Dexterity 3.6
Arm-Hand Steadiness 3.5
Extent Flexibility 3.5
Stamina 3.4
Near Vision 3.4
Finger Dexterity 3.3
Control Precision 3.3
Reaction Time 3.3
Problem Sensitivity 3.1
Dynamic Strength 3.1
Deductive Reasoning 3.0
Information Ordering 3.0
Category Flexibility 3.0
Visualization 3.0
Gross Body Coordination 3.0
Gross Body Equilibrium 3.0
Oral Comprehension 2.9
Oral Expression 2.9
Inductive Reasoning 2.9
Flexibility of Closure 2.9
Far Vision 2.9
Depth Perception 2.9
Auditory Attention 2.9

Transferable skills

Coordination 3.1
Operation and Control 2.9
Judgment and Decision Making 2.9
Complex Problem Solving 2.8
Operations Monitoring 2.8
Time Management 2.8

Essential skills

Critical Thinking 3.0
Monitoring 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
Application Software SHEAR Project management software
Applied Systems Associates aSa Rebar Project management software
OTP ArmaCAD Computer aided design CAD software
RebarWin Data base user interface and query 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 4.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.6
Health and Safety of Other Workers 4.6
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.5
Contact With Others 4.4
Time Pressure 4.4
Exposed to Very Hot or Cold Temperatures 4.4
Spend Time Making Repetitive Motions 4.3
Exposed to Minor Burns, Cuts, Bites, or Stings 4.2
Work Outcomes and Results of Other Workers 4.2
Face-to-Face Discussions with Individuals and Within Teams 4.2
Work With or Contribute to a Work Group or Team 4.2
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.2
Spend Time Standing 4.1
Spend Time Bending or Twisting Your Body 4.1
Coordinate or Lead Others in Accomplishing Work Activities 4.0
Telephone Conversations 3.9
Level of Competition 3.9
Spend Time Walking or Running 3.9
Physical Proximity 3.8
Exposed to Contaminants 3.7
Exposed to High Places 3.6
Impact of Decisions on Co-workers or Company Results 3.5
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.5
Determine Tasks, Priorities and Goals 3.5
Importance of Being Exact or Accurate 3.4
Exposed to Hazardous Equipment 3.3
Frequency of Decision Making 3.3
Exposed to Cramped Work Space, Awkward Positions 3.2
Exposed to Hazardous Conditions 3.2
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.2
Dealing With Unpleasant, Angry, or Discourteous People 3.2
Consequence of Error 3.1
Freedom to Make Decisions 3.1
Importance of Repeating Same Tasks 3.1
In an Open Vehicle or Operating Equipment 3.0
Indoors, Not Environmentally Controlled 2.9
Spend Time Keeping or Regaining Balance 2.9
Pace Determined by Speed of Equipment 2.9
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.9

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.

Less than a High School Diploma 36.6%
High School Diploma 33.9%
Post-Secondary Certificate 29.6%

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 3.5
Investigative 2.2
Enterprising 1.3
Social 1.2

Interest areas

Physical/Manual Labor 6.5
Engineering 2.9
Construction/Woodwork 2.0
Mechanics/Electronics 1.8
Transportation/Machine Operation 1.7
Mathematics/Statistics 1.6

Work styles

Dependability 2.3
Attention to Detail 2.0
Cautiousness 1.8
Stress Tolerance 1.3
Perseverance 1.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$39k10th$47k25th$59kMedian$74k75th$96k90th
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.
19k202420k2034 (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 $39,470
25th percentile $47,300
Median (50th) $59,280
75th percentile $74,190
90th percentile $95,530
People employed 14,140

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 12,160 $59,190
Poured Concrete Foundation and Structure Contractors · National industry 1,290 $50,560
Manufacturing · Sector 1,100 $78,410
Wholesale Trade · Sector 340 $104,970
Administrative and Support and Waste Management and Remediation Services · Sector 220 $49,990
Temporary Help Services · National industry 130 $56,840
Professional, Scientific, and Technical Services · Sector 120 $40,410
Other Building Equipment Contractors · National industry 60 $65,550
Power and Communication Line and Related Structures Construction · National industry 50 $61,980
Electrical Contractors and Other Wiring Installation Contractors · National industry 50 $78,880
Plumbing, Heating, and Air-Conditioning Contractors · National industry 40 $89,500
Masonry Contractors · National industry $64,700

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
Poured Concrete Foundation and Structure Contractors · National industry 54.37× 1,290
Construction · Sector 16.33× 12,160
Manufacturing · Sector 0.94× 1,100
Wholesale Trade · Sector 0.61× 340
Temporary Help Services · National industry 0.53× 130
Administrative and Support and Waste Management and Remediation Services · Sector 0.27× 220
Professional, Scientific, and Technical Services · Sector 0.12× 120

Part of the Construction career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Reinforcing Iron and Rebar Workers sits at the 7th percentile of AI task-overlap and the 44th 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 Reinforcing Iron and Rebar Workers Cement Masons and Concrete Finishers Structural Iron and Steel Workers Construction Laborers Structural Metal Fabricators and Fitters 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 Reinforcing Iron and Rebar Workers — 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 5th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Reinforcing Iron and Rebar Workers show 7th-percentile AI task overlap — and about 1,500 annual U.S. openings

  • Reinforcing Iron and Rebar Workers rank in the 7th 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 1,500 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 $59,280, across about 14,140 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Reinforcing Iron and Rebar Workers show 7th-percentile AI task overlap — and about 1,500 annual U.S. openings

• Reinforcing Iron and Rebar Workers rank in the 7th 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 1,500 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 $59,280, across about 14,140 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Reinforcing Iron and Rebar Workers". https://singulariki.com/roles/role-47-2171-00
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. "Reinforcing Iron and Rebar Workers." 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-47-2171-00

APA

Singulariki. (2026). Reinforcing Iron and Rebar Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-2171-00

BibTeX
@misc{singulariki-role-47-2171-00,
  title  = {Reinforcing Iron and Rebar Workers},
  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-47-2171-00}
}

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

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