Poured Concrete Foundation and Structure Contractors
National industry · NAICS 238110
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Poured Concrete Foundation and Structure Contractors is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 258,720 workers across 98 detailed occupations in it. A typical worker earns around $58,766 a year (Singulariki estimate, see below).
This industry comprises establishments primarily engaged in pouring and finishing concrete foundations and structural elements. This industry also includes establishments performing grout and shotcrete work. The work performed may include new work, additions, alterations, maintenance, and repairs. Illustrative Examples: Concrete pouring and finishing Gunite contractors Concrete pumping (i.e., placement) Mud-jacking contractors Concrete work (except paving) Shotcrete contractors Footing and foundation concrete contractors Cross-References. Establishments primarily engaged in--
Employment is national May 2024 OEWS. "Typical pay" is Singulariki's own figure — the employment-weighted average of each occupation's national median wage — a rough center of the industry, not an official BLS number.
How exposed this industry is to AI
Weighting every occupation in this industry by its employment and its unified AI-exposure index (the OpenAI "GPTs are GPTs" human-rated task overlap folded with the Felten/Raj/Seamans AIOE index), this industry sits in the Low band — 4th percentile across all industries.
Exposure measures how much of the work overlaps with what today's AI can do, not a prediction of automation; high-exposure industries are where AI is most likely to reshape tasks. Employment-weighted across 85 occupations that carry an exposure score. Compare every industry on the AI exposure hub.
How AI is actually used in this industry
Among measured Claude.ai (Free and Pro) conversations mapped to O*NET task statements (Anthropic Economic Index, 2026-01-15), these patterns are most associated with the occupations in this industry, weighted by its employment mix. They are shares of observed AI conversations — not of worker time, revenue, or what could be automated — and reflect one AI assistant's consumer sample, not all AI.
| Signal coverage | 61.2% of employment · 49/91 occupations have AEI task data |
| Augmentation vs. automation | 48.8% working with AI · 33.5% handed to AI |
| Most common pattern | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 3.7 / 5 · higher = AI acts more independently |
Tasks driving the signal
The task families that account for the most AI activity across this industry's occupations (employment × observed usage), each attributed to the occupation it comes from.
| Task | Occupation | How | Share of signal |
|---|---|---|---|
| Troubleshoot problems involving office equipment, such as computer hardware and software. | Office Clerks, General | Feedback loop | 51.3% |
| Use computers for various applications, such as database management or word processing. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 6.3% |
| Conduct searches to find needed information, using such sources as the Internet. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 5.8% |
| Monitor how the wind, heat, or cold affect the curing of the concrete throughout the entire process. | Cement Masons and Concrete Finishers | Learning | 5.8% |
| Develop or maintain internal or external company Web sites. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 4.4% |
| Process and prepare documents, such as business or government forms and expense reports. | Office Clerks, General | Directive | 2.0% |
| Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work. | First-Line Supervisors of Office and Administrative Support Workers | Iteration | 1.8% |
| Complete work schedules, manage calendars, and arrange appointments. | Office Clerks, General | Directive | 1.2% |
| Create, maintain, and enter information into databases. | Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | Directive | 1.0% |
| Classify, record, and summarize numerical and financial data to compile and keep financial records, using journals and ledgers or computers. | Bookkeeping, Accounting, and Auditing Clerks | Directive | 1.0% |
| Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement. | General and Operations Managers | Directive | 1.0% |
| Record information such as personnel, production, or operational data on specified forms or reports. | First-Line Supervisors of Construction Trades and Extraction Workers | Directive | 0.9% |
Occupations behind the signal
The occupations whose AI-touched tasks contribute most to this industry's signal, by employment here.
| Occupation | Workers | Share | How they use AI |
|---|---|---|---|
| Cement Masons and Concrete Finishers | 87,770 | 33.9% | Learning |
| First-Line Supervisors of Construction Trades and Extraction Workers | 23,870 | 9.2% | Directive |
| General and Operations Managers | 7,310 | 2.8% | Iteration |
| Construction Managers | 6,740 | 2.6% | Iteration |
| Office Clerks, General | 6,240 | 2.4% | Feedback loop |
| Heavy and Tractor-Trailer Truck Drivers | 5,460 | 2.1% | Directive |
| Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | 3,420 | 1.3% | Directive |
| Bookkeeping, Accounting, and Auditing Clerks | 3,220 | 1.2% | Directive |
| Cost Estimators | 3,040 | 1.2% | Iteration |
| First-Line Supervisors of Office and Administrative Support Workers | 1,390 | 0.5% | Iteration |
| Accountants and Auditors | 1,110 | 0.4% | Directive |
| Mobile Heavy Equipment Mechanics, Except Engines | 920 | 0.4% | Learning |
This rollup is only as complete as the occupation-task matches available for the industry; the coverage figure above is shown so sparse industries do not look falsely precise. AI exposure is not the same as replacement.
Skill & tool metabolism
What this industry's work actually runs on. Each figure is the share of the industry's workers in occupations that significantly rely on a skill, knowledge area, or ability (O*NET importance ≥ 3 of 5), or that use a tool category — its employment reach. This is a measure of how widespread a requirement is across the workforce, not how intensively any one worker uses it. Shares are independent and need not add to 100%.
Based on 97.6% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.
Skills
| Skill | Employment reach | Workers |
|---|---|---|
| Active Listening | 94.0% | 243,250 |
| Speaking | 92.4% | 239,160 |
| Coordination | 88.2% | 228,190 |
| Time Management | 74.2% | 191,890 |
| Critical Thinking | 72.8% | 188,350 |
| Monitoring | 72.7% | 188,150 |
| Judgment and Decision Making | 64.4% | 166,580 |
| Complex Problem Solving | 62.6% | 161,920 |
| Quality Control Analysis | 55.9% | 144,740 |
| Reading Comprehension | 36.3% | 94,020 |
| Operations Monitoring | 29.7% | 76,760 |
| Operation and Control | 29.2% | 75,660 |
Knowledge areas
| Knowledge area | Employment reach | Workers |
|---|---|---|
| Public Safety and Security | 82.9% | 214,550 |
| Building and Construction | 79.1% | 204,730 |
| English Language | 66.9% | 173,100 |
| Mathematics | 64.9% | 167,850 |
| Mechanical | 47.9% | 123,980 |
| Customer and Personal Service | 36.0% | 93,160 |
| Administration and Management | 33.1% | 85,750 |
| Design | 23.3% | 60,370 |
| Engineering and Technology | 13.5% | 34,830 |
| Administrative | 12.9% | 33,440 |
| Education and Training | 12.4% | 31,980 |
| Computers and Electronics | 10.4% | 26,970 |
Abilities
| Abilitie | Employment reach | Workers |
|---|---|---|
| Near Vision | 97.1% | 251,280 |
| Oral Comprehension | 97.1% | 251,100 |
| Information Ordering | 96.9% | 250,820 |
| Oral Expression | 96.9% | 250,640 |
| Deductive Reasoning | 96.8% | 250,530 |
| Problem Sensitivity | 96.8% | 250,370 |
| Speech Recognition | 95.5% | 247,160 |
| Speech Clarity | 95.1% | 246,100 |
| Selective Attention | 92.6% | 239,480 |
| Category Flexibility | 92.2% | 238,580 |
| Far Vision | 84.3% | 218,120 |
| Manual Dexterity | 82.5% | 213,510 |
Tool categories
| Tool category | Employment reach | Workers |
|---|---|---|
| Project management software | 90.8% | 234,860 |
| Office suite software | 64.5% | 166,800 |
| Spreadsheet software | 64.4% | 166,720 |
| Word processing software | 60.2% | 155,650 |
| Analytical or scientific software | 58.8% | 152,120 |
| Accounting software | 58.3% | 150,740 |
| Operating system software | 57.8% | 149,600 |
| Electronic mail software | 55.8% | 144,400 |
| Information retrieval or search software | 51.6% | 133,520 |
| Computer aided design CAD software | 50.1% | 129,530 |
| Data base user interface and query software | 32.1% | 83,050 |
| Enterprise resource planning ERP software | 29.8% | 77,140 |
| Presentation software | 27.1% | 70,240 |
| Document management software | 25.6% | 66,310 |
| Graphics or photo imaging software | 23.5% | 60,920 |
Reach = share of industry employment in occupations where the requirement is significant; it is not a per-worker usage or proficiency measure. Skill, knowledge, and ability importance is from O*NET; tool use is reported presence of a technology category.
Largest occupations
The occupations that employ the most people in this industry, with their share of the industry's workforce and national median pay for the occupation (not industry-specific pay).
Showing the top 40 of 98 occupations by employment.
Most distinctive occupations
The occupations most unusually concentrated in this industry compared with the economy as a whole. The location quotient is how many times more common an occupation is here versus its economy-wide share (a value of 5 means five times as concentrated).
Write a report on thisheadline · factoids · citation
The Poured Concrete Foundation and Structure Contractors workforce sits at the 4th percentile of AI task overlap — 258,720 U.S. workers
- Weighting every occupation by its real share of Poured Concrete Foundation and Structure Contractors employment, the industry's workforce ranks in the 4th percentile (Low band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk.Eloundou et al. + Felten AIOE, weighted by BLS OEWS
- The industry employs about 258,720 U.S. workers across 98 occupations.BLS OEWS (May 2024)
- Employment-weighted typical annual pay is about $58,766.BLS OEWS (May 2024)
- Of AI use observed across this industry's occupations, 49% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
The Poured Concrete Foundation and Structure Contractors workforce sits at the 4th percentile of AI task overlap — 258,720 U.S. workers • Weighting every occupation by its real share of Poured Concrete Foundation and Structure Contractors employment, the industry's workforce ranks in the 4th percentile (Low band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk. (Eloundou et al. + Felten AIOE, weighted by BLS OEWS) • The industry employs about 258,720 U.S. workers across 98 occupations. (BLS OEWS (May 2024)) • Employment-weighted typical annual pay is about $58,766. (BLS OEWS (May 2024)) • Of AI use observed across this industry's occupations, 49% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index) Source: Singulariki — "Poured Concrete Foundation and Structure Contractors". https://singulariki.com/industries/238110 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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Poured Concrete Foundation and Structure Contractors." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/industries/238110
Singulariki. (2026). Poured Concrete Foundation and Structure Contractors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/238110
@misc{singulariki-238110,
title = {Poured Concrete Foundation and Structure Contractors},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/industries/238110}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.