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 47-2021.00
Lay and bind building materials, such as brick, structural tile, concrete block, cinder block, glass block, and terra-cotta block, with mortar and other substances, to construct or repair walls, partitions, arches, sewers, and other structures.
Also called: Block Layer · Brick and Block Mason · Bricklayer · Mason · Block Mason · Blockmason · Brick Mason · Masonry Installer · Tender · Adobe Layer · Block Paver · Bottom Liner
Job family: Construction and Extraction Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-47-2021-00/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.
10th-percentile task overlap — yet about 5,600 openings a year (+3.2% 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 | 2nd | -1.8 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 11th | 0.1 | |
| AI assistant applicability (Microsoft) Low | 30th | 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 0.1). 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.
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 0.8 · 66th percentile among occupations · Moderate
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.2% by 2034 |
| Projected annual openings | 5,600 |
| Employment 2024 → 2034 | 74,100 → 76,400 |
“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 |
|---|---|---|
| Bricklayers and Related Workers · 7112 | 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 14 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Building and Construction | 4.8 | |
| Mathematics | 3.5 | |
| English Language | 3.3 | |
| Public Safety and Security | 3.1 | |
| Production and Processing | 3.1 | |
| Design | 3.1 | |
| Administration and Management | 3.0 | |
| Mechanical | 3.0 |
| Trunk Strength | 4.0 | |
| Extent Flexibility | 3.9 | |
| Arm-Hand Steadiness | 3.8 | |
| Manual Dexterity | 3.8 | |
| Static Strength | 3.8 | |
| Near Vision | 3.8 | |
| Visualization | 3.6 | |
| Multilimb Coordination | 3.6 | |
| Dynamic Strength | 3.6 | |
| Information Ordering | 3.3 | |
| Finger Dexterity | 3.3 | |
| Problem Sensitivity | 3.1 | |
| Gross Body Equilibrium | 3.1 | |
| Oral Comprehension | 3.0 | |
| Written Comprehension | 3.0 | |
| Oral Expression | 3.0 | |
| Deductive Reasoning | 3.0 | |
| Inductive Reasoning | 3.0 | |
| Category Flexibility | 3.0 | |
| Selective Attention | 3.0 | |
| Control Precision | 3.0 | |
| Stamina | 3.0 | |
| Gross Body Coordination | 3.0 | |
| Far Vision | 3.0 |
| Critical Thinking | 3.1 | |
| Active Listening | 3.0 | |
| Speaking | 3.0 | |
| Monitoring | 3.0 |
| Coordination | 3.1 | |
| Operations Monitoring | 3.0 | |
| Quality Control Analysis | 3.0 | |
| Time Management | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
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.
What to study: Construction Trades . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| High School Diploma | 70.4% | |
| Less than a High School Diploma | 13.5% | |
| Some College Courses | 13.4% | |
| Associate's Degree (or other 2-year degree) | 2.7% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 7.0 | |
| Conventional | 3.8 | |
| Investigative | 2.0 | |
| Artistic | 1.7 |
| Dependability | 2.3 | |
| Attention to Detail | 2.1 | |
| Cautiousness | 1.6 | |
| Perseverance | 1.4 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $41,330 |
| 25th percentile | $49,430 |
| Median (50th) | $60,800 |
| 75th percentile | $77,290 |
| 90th percentile | $95,560 |
| People employed | 53,520 |
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 | 50,650 | $61,030 |
| Masonry Contractors · National industry | 40,330 | $60,860 |
| Poured Concrete Foundation and Structure Contractors · National industry | 1,050 | $49,200 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 730 | $54,340 |
| Manufacturing · Sector | 620 | $55,040 |
| Drywall and Insulation Contractors · National industry | 490 | $52,370 |
| Plumbing, Heating, and Air-Conditioning Contractors · National industry | 330 | $107,470 |
| Retail Trade · Sector | 290 | $57,040 |
| Other Building Equipment Contractors · National industry | 130 | $75,860 |
| Educational Services · Sector | 130 | $58,530 |
| Wholesale Trade · Sector | 120 | $55,540 |
| Roofing Contractors · National industry | 40 | $82,890 |
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 |
|---|---|---|
| Masonry Contractors · National industry | 809.1× | 40,330 |
| Construction · Sector | 17.97× | 50,650 |
| Poured Concrete Foundation and Structure Contractors · National industry | 11.69× | 1,050 |
| Drywall and Insulation Contractors · National industry | 5.75× | 490 |
| Other Building Equipment Contractors · National industry | 2.44× | 130 |
| Plumbing, Heating, and Air-Conditioning Contractors · National industry | 0.75× | 330 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.23× | 730 |
| Manufacturing · Sector | 0.14× | 620 |
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 Brickmasons and Blockmasons — 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 0th percentile of 427 international occupations.
Brickmasons and Blockmasons show 10th-percentile AI task overlap — and about 5,600 annual U.S. openings
Brickmasons and Blockmasons show 10th-percentile AI task overlap — and about 5,600 annual U.S. openings • Brickmasons and Blockmasons rank in the 10th 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 5,600 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 (+3.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $60,800, across about 53,520 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Brickmasons and Blockmasons". https://singulariki.com/roles/role-47-2021-00 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. "Brickmasons and Blockmasons." 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-47-2021-00
Singulariki. (2026). Brickmasons and Blockmasons. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-2021-00
@misc{singulariki-role-47-2021-00,
title = {Brickmasons and Blockmasons},
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-47-2021-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.