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.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
First-line supervisors of construction trades and extraction workers (SOC 47-1011) carries an AI exposure score of 32%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an 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 economic context matters alongside the risk score. BLS counted approximately 921,600 workers in this occupation in 2024, and projects a +5.3% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $78,690, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus 5 years or more of related experience.
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. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met.
- 2. Plan and coordinate installations of photovoltaic (PV) solar and solar thermal systems to ensure conformance to codes.
- 3. Read specifications, such as blueprints, to determine construction requirements or to plan procedures.
- 4. Supervise, coordinate, or schedule the activities of construction or extractive workers.
- 5. Supervise solar installers, technicians, and subcontractors for solar installation projects to ensure compliance with safety standards.
- 6. Assign work to employees, based on material or worker requirements of specific jobs.
- 7. Coordinate work activities with other construction project activities.
- 8. Estimate material or worker requirements to complete jobs.
- 9. Estimate materials, equipment, and personnel needed for residential or commercial solar installation projects.
- 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
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Related Occupations
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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).