Medium AI Risk Average

First-line supervisors of construction trades and extraction workers

SOC Code: 47-1011

First-line supervisors of construction trades and extraction workers carries a 32% AI exposure score (Medium automation risk), with a median annual wage of $78,690 and +5.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 921,600 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
32% Medium
Typical exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+5.3%
Above typical growth
2024–2034 (BLS)
+49,000 jobs
Median Annual Wage
$78,690
Above typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 32% AI exposure, First-line supervisors of construction trades and extraction workers sits 5 points below the 37.2% average across 832 U.S. occupations - more exposed than 38% of them. Most of its core tasks still require human judgment.

32%
AI exposure
38th
percentile
+5.3%
Job growth 2024–34
$78,690
Median wage
B

Career outlook score

72/100

First-line supervisors of construction trades and extraction workers, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage B+ $78,690

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth B+ +5.3%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) C+ 32% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with First-line supervisors of construction trades and extraction workers in the Medium band.

Credential × growth standing

Open entry with non-declining BLS pace

First-line supervisors of construction trades and extraction workers keeps an HS / some college bar (333 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

Where First-line supervisors of construction trades and extraction workers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where First-line supervisors of construction trades and extraction workers sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

32% Lower than most lower than 62% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

First-line supervisors of construction trades and extraction workers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. First-line supervisors of construction trades and extraction workers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk11.8%18.4%25%31.6%38.2%-1.3%1.5%4.3%7.2%10.0%AI exposure (%) →Projected growth (%) →Construction laborer, AI exposure (%) →: 15% · Projected growth (%) →: 7.3%Construction laborerCarpenters, AI exposure (%) →: 28% · Projected growth (%) →: 4.5%CarpentersFirst-line superviso, AI exposure (%) →: 32% · Projected growth (%) →: 5.3%First-line supervisoElectricians, AI exposure (%) →: 13% · Projected growth (%) →: 9.5%ElectriciansPlumbers, AI exposure (%) →: 27% · Projected growth (%) →: 4.5%PlumbersOperating engineers, AI exposure (%) →: 25% · Projected growth (%) →: 3.6%Operating engineersPainters, AI exposure (%) →: 27% · Projected growth (%) →: 3.8%PaintersCement masons, AI exposure (%) →: 15% · Projected growth (%) →: 1.8%Cement masonsRoofers, AI exposure (%) →: 17% · Projected growth (%) →: 5.9%RoofersHighway maintenance , AI exposure (%) →: 21% · Projected growth (%) →: 3%Highway maintenance Construction, AI exposure (%) →: 37% · Projected growth (%) →: -0.8%Construction

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

921,600
Employment 2024
970,600
Projected 2034
+5.3%
Change (%)
+49,000
Change (jobs)

Where This Score Comes From

First-line supervisors of construction trades and extraction workers's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 47-1011) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets First-line supervisors of construction trades and extraction workers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes First-line supervisors of construction trades and extraction workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
5 years or more
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met.
  2. 2. Plan and coordinate installations of photovoltaic (PV) solar and solar thermal systems to ensure conformance to codes.
  3. 3. Read specifications, such as blueprints, to determine construction requirements or to plan procedures.
  4. 4. Supervise, coordinate, or schedule the activities of construction or extractive workers.
  5. 5. Supervise solar installers, technicians, and subcontractors for solar installation projects to ensure compliance with safety standards.
  6. 6. Assign work to employees, based on material or worker requirements of specific jobs.
  7. 7. Coordinate work activities with other construction project activities.
  8. 8. Estimate material or worker requirements to complete jobs.
  9. 9. Estimate materials, equipment, and personnel needed for residential or commercial solar installation projects.
  10. 10. Analyze worker or production problems and recommend solutions, such as improving production methods or implementing motivational plans.

Key Skills Required

  • Monitoring
  • Coordination
  • Time Management
  • Management of Personnel Resources
  • Reading Comprehension
  • Speaking
  • Active Listening
  • Critical Thinking
  • Persuasion
  • Instructing

Knowledge Areas

  • Building and Construction
  • Customer and Personal Service
  • Administration and Management
  • Design
  • Mechanical
  • Transportation
  • Sales and Marketing
  • Mathematics
  • Education and Training
  • English Language

Frequently Asked Questions

Will AI replace First-line supervisors of construction trades and extraction workers?

First-line supervisors of construction trades and extraction workers has an AI exposure score of 32%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for First-line supervisors of construction trades and extraction workers?

According to BLS Employment Projections 2024-2034, First-line supervisors of construction trades and extraction workers is projected to grow by 5.3% over the decade. Current employment stands at approximately 921,600 workers.

What skills are needed for First-line supervisors of construction trades and extraction workers?

Key skills for First-line supervisors of construction trades and extraction workers include Monitoring, Coordination, Time Management, and others. Typical entry-level education is High school diploma or equivalent.

How much do First-line supervisors of construction trades and extraction workers earn?

The median annual wage for First-line supervisors of construction trades and extraction workers is $78,690, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for First-line supervisors of construction trades and extraction workers?

The typical entry-level education for First-line supervisors of construction trades and extraction workers is High school diploma or equivalent. Employers generally expect 5 years or more of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ First-line supervisors of construction trades and extraction workers?

First-line supervisors of construction trades and extraction workers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.6
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for First-line supervisors of construction trades and extraction workers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (32% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+5.3% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use First-line supervisors of construction trades and extraction workers' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.