Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Record information such as personnel, production, or operational data on specified forms or reports. · 0.5%
First-Line Supervisors of Construction Trades and Extraction Workers
Occupation · SOC 47-1011.00
Directly supervise and coordinate activities of construction or extraction workers.
Also called: Construction Foreman · Construction Supervisor · Electrical Supervisor · Roustabout Field Supervisor · Coal Mine Production Foreman · Field Operations Supervisor · Field Supervisor · Insulation Foreman · Sheet Metal Foreman · Site Superintendent · Acoustical Tile Carpenters' Supervisor · Adjustable Steel Joist Setting Supervisor
Job family: Construction and Extraction Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-47-1011-00/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.
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Record information such as personnel, production, or operational data on specified forms or reports. · 98.1% need a human
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 →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+5.3% by 2034)
- 74,400 openings/yr
- Low AI exposure
- Median pay $78,690/yr
- Work is mostly on-site (not teleworkable)
42nd-percentile task overlap — yet about 74,400 openings a year (+5.3% 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.) Moderate | 40th | -0.3 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 58th | 0.7 | |
| AI assistant applicability (Microsoft) Low | 33rd | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), and including AI-powered software (γ 0.7). 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 0.2 · 32nd percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Read specifications, such as blueprints, to determine construction requirements or to plan procedures. | 0.3% | |
| Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities. | 0.3% |
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 · +5.3% by 2034 |
| Projected annual openings | 74,400 |
| Employment 2024 → 2034 | 921,600 → 970,600 |
“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 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
First-Line Supervisors of Construction Trades and Extraction Workers sits at the 54th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
28% mean task exposure (2025)
54th percentile of 427 placed occupations
+4 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Mining Supervisors · 3121 | 29% | Not exposed |
| Construction Supervisors · 3123 | 28% | 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.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 2.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 34.0% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Record information such as personnel, production, or operational data on specified forms or reports. | Directive | 0.5% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Record information such as personnel, production, or operational data on specified forms or reports. | 98.1% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me record information such as personnel, production, or operational data on specified forms or reports.From: Record information such as personnel, production, or operational data on specified forms or reports. · 0.5% of measured AI use · directive
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.
- Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met. Core · importance 4.5
- Read specifications, such as blueprints, to determine construction requirements or to plan procedures. Core · importance 4.4
- Supervise, coordinate, or schedule the activities of construction or extractive workers. Core · importance 4.4
- Assign work to employees, based on material or worker requirements of specific jobs. Core · importance 4.2
- Coordinate work activities with other construction project activities. Core · importance 4.2
- Estimate material or worker requirements to complete jobs. Core · importance 4.1
- Analyze worker or production problems and recommend solutions, such as improving production methods or implementing motivational plans. Core · importance 4.1
- Order or requisition materials or supplies. Core · importance 4.0
- Train workers in construction methods, operation of equipment, safety procedures, or company policies. Core · importance 4.0
- Locate, measure, and mark site locations or placement of structures or equipment, using measuring and marking equipment. Core · importance 3.9
- Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities. Core · importance 3.9
- Arrange for repairs of equipment or machinery. Core · importance 3.8
- Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment. Core · importance 3.8
- Record information, such as personnel, production, or operational data on specified forms or reports. Core · importance 3.6
- Suggest or initiate personnel actions, such as promotions, transfers, or hires. Core · importance 3.4
Work activities
- Review blueprints or specifications to determine work requirements.
- Estimate materials requirements for projects.
- Estimate construction project labor requirements.
- Direct construction or extraction personnel.
- Coordinate construction project activities.
- Communicate with other construction or extraction personnel to discuss project details.
- Order construction or extraction materials or equipment.
- Measure work site dimensions.
- Mark reference points on construction materials.
- Record operational or environmental data.
- Assist skilled construction or extraction personnel.
- Train construction or extraction personnel.
- Monitor construction operations.
- Evaluate projects to determine compliance with technical specifications.
- Inspect equipment or tools to be used in construction or excavation.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Abilities
| Oral Comprehension | 4.0 | |
| Oral Expression | 3.8 | |
| Problem Sensitivity | 3.8 | |
| Information Ordering | 3.6 | |
| Near Vision | 3.6 | |
| Deductive Reasoning | 3.4 | |
| Written Comprehension | 3.3 | |
| Inductive Reasoning | 3.3 | |
| Speech Clarity | 3.3 | |
| Written Expression | 3.1 | |
| Selective Attention | 3.1 | |
| Manual Dexterity | 3.1 | |
| Far Vision | 3.1 | |
| Speech Recognition | 3.1 |
Transferable skills
| Coordination | 3.9 | |
| Management of Personnel Resources | 3.6 | |
| Time Management | 3.4 | |
| Judgment and Decision Making | 3.3 | |
| Social Perceptiveness | 3.1 | |
| Complex Problem Solving | 3.1 | |
| Persuasion | 3.0 | |
| Negotiation | 3.0 |
Essential skills
| Active Listening | 3.8 | |
| Speaking | 3.8 | |
| Critical Thinking | 3.6 | |
| Reading Comprehension | 3.4 | |
| Monitoring | 3.4 | |
| Learning Strategies | 3.1 | |
| Writing | 3.0 | |
| Active Learning | 3.0 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 42.
Tools & 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.
How to get in
- Job zone
- Zone 3 — Job Zone Three: Medium Preparation Needed
- Education
- Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
- Preparation level
- SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.
What to study: Construction Trades . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Post-Secondary Certificate | 27.0% | |
| Less than a High School Diploma | 21.9% | |
| High School Diploma | 20.8% | |
| Associate's Degree (or other 2-year degree) | 11.9% | |
| Bachelor's Degree | 10.5% | |
| Some College Courses | 7.8% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Work styles
| Dependability | 7.0 | |
| Attention to Detail | 6.0 | |
| Cautiousness | 5.0 | |
| Cooperation | 4.0 | |
| Leadership Orientation | 3.0 | |
| Stress Tolerance | 3.0 |
Career interests (Holland / RIASEC)
| Enterprising | 6.0 | |
| Conventional | 5.0 | |
| Realistic | 4.7 | |
| Social | 2.9 |
Interest areas
| Management/Administration | 5.6 | |
| Construction/Woodwork | 4.9 | |
| Engineering | 3.6 | |
| Human Resources | 3.3 | |
| Transportation/Machine Operation | 3.3 | |
| Physical/Manual Labor | 3.0 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $51,290 |
| 25th percentile | $62,400 |
| Median (50th) | $78,690 |
| 75th percentile | $100,200 |
| 90th percentile | $126,690 |
| People employed | 806,080 |
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 | 629,040 | $78,900 |
| Electrical Contractors and Other Wiring Installation Contractors · National industry | 78,640 | $88,780 |
| Plumbing, Heating, and Air-Conditioning Contractors · National industry | 54,060 | $88,220 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 32,560 | $89,990 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 26,820 | $64,200 |
| Poured Concrete Foundation and Structure Contractors · National industry | 23,870 | $75,760 |
| Roofing Contractors · National industry | 22,330 | $70,380 |
| Drywall and Insulation Contractors · National industry | 19,650 | $72,510 |
| Power and Communication Line and Related Structures Construction · National industry | 18,400 | $79,980 |
| Manufacturing · Sector | 16,740 | $78,620 |
| Painting and Wall Covering Contractors · National industry | 14,180 | $61,840 |
| Masonry Contractors · National industry | 11,380 | $75,260 |
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 | 17.65× | 23,870 |
| Roofing Contractors · National industry | 17.19× | 22,330 |
| Drywall and Insulation Contractors · National industry | 15.3× | 19,650 |
| Masonry Contractors · National industry | 15.16× | 11,380 |
| Power and Communication Line and Related Structures Construction · National industry | 15.03× | 18,400 |
| Construction · Sector | 14.82× | 629,040 |
| Electrical Contractors and Other Wiring Installation Contractors · National industry | 14.03× | 78,640 |
| Painting and Wall Covering Contractors · National industry | 13.12× | 14,180 |
Related occupations
Part of the Construction and Energy & Natural Resources career clusters.
- First-Line Supervisors of Mechanics, Installers, and Repairers · 49-1011.00 Compare →
- First-Line Supervisors of Production and Operating Workers · 51-1011.00 Compare →
- First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand · 53-1042.00 Compare →
- First-Line Supervisors of Material-Moving Machine and Vehicle Operators · 53-1043.00 Compare →
- First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers · 37-1012.00 Compare →
- Solar Energy Installation Managers · 47-1011.03 Compare →
- First-Line Supervisors of Farming, Fishing, and Forestry Workers · 45-1011.00 Compare →
- First-Line Supervisors of Passenger Attendants · 53-1044.00 Compare →
- Construction and Building Inspectors · 47-4011.00 Compare →
- Construction Managers · 11-9021.00 Compare →
- First-Line Supervisors of Housekeeping and Janitorial Workers · 37-1011.00 Compare →
- First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services · 39-1014.00 Compare →
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 First-Line Supervisors of Construction Trades and Extraction 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.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
- First-Line Supervisors of Mechanics, Installers, and Repairers Compare →
- First-Line Supervisors of Production and Operating Workers Compare →
- First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand Compare →
- First-Line Supervisors of Material-Moving Machine and Vehicle Operators Compare →
- First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers Compare →
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Construction Trades · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 54th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
First-Line Supervisors of Construction Trades and Extraction Workers show 42nd-percentile AI task overlap — and about 74,400 annual U.S. openings
- First-Line Supervisors of Construction Trades and Extraction Workers rank in the 42nd percentile (Moderate 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 74,400 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 about average (+5.3%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $78,690, across about 806,080 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
First-Line Supervisors of Construction Trades and Extraction Workers show 42nd-percentile AI task overlap — and about 74,400 annual U.S. openings • First-Line Supervisors of Construction Trades and Extraction Workers rank in the 42nd percentile (Moderate 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 74,400 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 about average (+5.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $78,690, across about 806,080 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "First-Line Supervisors of Construction Trades and Extraction Workers". https://singulariki.com/roles/role-47-1011-00 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.
- 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
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "First-Line Supervisors of Construction Trades and Extraction 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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-47-1011-00
APA
Singulariki. (2026). First-Line Supervisors of Construction Trades and Extraction Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-1011-00
BibTeX
@misc{singulariki-role-47-1011-00,
title = {First-Line Supervisors of Construction Trades and Extraction Workers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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-47-1011-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.