Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 47-2061.00
Perform tasks involving physical labor at construction sites. May operate hand and power tools of all types: air hammers, earth tampers, cement mixers, small mechanical hoists, surveying and measuring equipment, and a variety of other equipment and instruments. May clean and prepare sites, dig trenches, set braces to support the sides of excavations, erect scaffolding, and clean up rubble, debris, and other waste materials. May assist other craft workers.
Also called: Construction Laborer · Construction Worker · Equipment Operator (EO) · Post Framer · Bituminous Asphalt Technician · Drop Crew Laborer · Form Setter · Scaffolding Operator · Site Work Laborer · Toolman · Air Breaker Operator · Air Drill Operator
Job family: Construction and Extraction Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-47-2061-00/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
4th-percentile task overlap — yet about 129,400 openings a year (+7.3% projected, BLS) . What exposure means →
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.
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 | -1.6 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 14th | 0.1 | |
| AI assistant applicability (Microsoft) Low | 5th | 0.0 |
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.
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 · 75th percentile among occupations · High
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +7.3% by 2034 |
| Projected annual openings | 129,400 |
| Employment 2024 → 2034 | 1,457,000 → 1,563,400 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
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.
| 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.
All 32 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Building and Construction | 4.0 | |
| Public Safety and Security | 3.2 | |
| Mechanical | 3.0 | |
| Customer and Personal Service | 2.8 |
| Manual Dexterity | 3.9 | |
| Static Strength | 3.8 | |
| Multilimb Coordination | 3.6 | |
| Arm-Hand Steadiness | 3.5 | |
| Oral Comprehension | 3.3 | |
| Oral Expression | 3.3 | |
| Problem Sensitivity | 3.3 | |
| Control Precision | 3.3 | |
| Trunk Strength | 3.3 | |
| Near Vision | 3.3 | |
| Information Ordering | 3.1 | |
| Finger Dexterity | 3.1 | |
| Dynamic Strength | 3.1 | |
| Stamina | 3.1 | |
| Extent Flexibility | 3.1 | |
| Far Vision | 3.1 | |
| Deductive Reasoning | 3.0 | |
| Category Flexibility | 3.0 | |
| Selective Attention | 3.0 | |
| Rate Control | 3.0 | |
| Depth Perception | 3.0 | |
| Speech Recognition | 3.0 | |
| Speech Clarity | 3.0 | |
| Written Comprehension | 2.9 | |
| Inductive Reasoning | 2.9 | |
| Visualization | 2.9 | |
| Response Orientation | 2.9 | |
| Reaction Time | 2.9 |
| Speaking | 3.3 | |
| Active Listening | 3.1 | |
| Reading Comprehension | 2.8 | |
| Critical Thinking | 2.8 |
| Coordination | 3.1 | |
| Operation and Control | 3.1 | |
| Operations Monitoring | 3.0 | |
| Complex Problem Solving | 2.8 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Autodesk Revit | 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 Windows | Operating system software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Oracle Primavera Enterprise Project Portfolio Management | Project management software | Hot technology |
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.
Share of people in this occupation at each level of education.
| High School Diploma | 34.9% | |
| Less than a High School Diploma | 32.5% | |
| Associate's Degree (or other 2-year degree) | 4.6% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 7.0 | |
| Conventional | 3.6 | |
| Investigative | 2.7 | |
| Artistic | 1.4 | |
| Enterprising | 1.4 |
| Physical/Manual Labor | 6.8 | |
| Construction/Woodwork | 3.8 | |
| Transportation/Machine Operation | 3.3 | |
| Engineering | 2.4 | |
| Mechanics/Electronics | 2.3 | |
| Nature/Outdoors | 1.6 |
| Dependability | 2.2 | |
| Perseverance | 1.7 | |
| Cautiousness | 1.5 | |
| Stress Tolerance | 1.5 | |
| Attention to Detail | 1.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $34,200 |
| 25th percentile | $38,100 |
| Median (50th) | $46,730 |
| 75th percentile | $58,910 |
| 90th percentile | $77,530 |
| People employed | 1,057,660 |
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 | 892,690 | $47,070 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 66,880 | $38,740 |
| Poured Concrete Foundation and Structure Contractors · National industry | 53,670 | $48,000 |
| Power and Communication Line and Related Structures Construction · National industry | 37,040 | $46,140 |
| Temporary Help Services · National industry | 34,400 | $33,560 |
| Masonry Contractors · National industry | 23,760 | $46,650 |
| Plumbing, Heating, and Air-Conditioning Contractors · National industry | 21,860 | $46,740 |
| Manufacturing · Sector | 17,430 | $44,440 |
| Electrical Contractors and Other Wiring Installation Contractors · National industry | 17,250 | $46,820 |
| Drywall and Insulation Contractors · National industry | 11,940 | $45,610 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 11,010 | $43,640 |
| Landscaping Services · National industry | 10,440 | $44,460 |
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 | 30.24× | 53,670 |
| Masonry Contractors · National industry | 24.12× | 23,760 |
| Power and Communication Line and Related Structures Construction · National industry | 23.06× | 37,040 |
| Construction · Sector | 16.02× | 892,690 |
| Other Building Equipment Contractors · National industry | 8.65× | 9,110 |
| Drywall and Insulation Contractors · National industry | 7.08× | 11,940 |
| Roofing Contractors · National industry | 5.26× | 8,970 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 2.8× | 11,010 |
Part of the Construction career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Construction Laborers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 2nd percentile of 427 international occupations.
Construction Laborers show 4th-percentile AI task overlap — and about 129,400 annual U.S. openings
Construction Laborers show 4th-percentile AI task overlap — and about 129,400 annual U.S. openings • Construction Laborers 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 129,400 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 growing fast (+7.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $46,730, across about 1,057,660 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Construction Laborers". https://singulariki.com/roles/role-47-2061-00 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.
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.
Singulariki. "Construction Laborers." 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-47-2061-00
Singulariki. (2026). Construction Laborers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-2061-00
@misc{singulariki-role-47-2061-00,
title = {Construction Laborers},
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-47-2061-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.