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ConstructionGrowingBright Outlook

First-Line Supervisors of Construction Trade and Extraction Worker

Operational-level

Also known as: Acoustical Tile Carpenters' Supervisor, Adjustable Steel Joist Setting Supervisor, Asbestos Removal Supervisor, Asphalt Paving Supervisor

ConstructionBachelor's Degree

Job Description

Directly supervise and coordinate activities of construction or extraction workers.
Construction Site SupervisionConstruction ManagementExtraction OperationsConstruction TradesProject ManagementLeadershipOccupational SafetyConstructionBuildingSkilled Trade

Skills employers are looking for in 2027

Software and technologies flagged by O*NET as Hot or In-Demand for this role.

In-demand software
Microsoft Office software

Job Outlook 2025-2035

Bright Outlook

O*NET flags this career as a Bright Outlook occupation: grows rapidly over the next decade.

Projected growth

+5%

US average: +3.5%

Job openings

67,000

per year (US)

Jobs today

913,300

in 2025 → 959,400 (2035)

Typical entry education

High school diploma or equivalent

Source: U.S. Bureau of Labor Statistics, Employment Projections; O*NET Bright Outlook.

Work Environment

How this work is typically performed, based on O*NET work context data.

Email & digital communication
High
Working in a team
High
Contact with others
High
Freedom to make decisions
High
Time pressure
High
Time spent sitting
Moderate
Working outdoors
High
Indoor, climate-controlled
Moderate
Dealing with customers
High
Level of competition
High

Source: O*NET Work Context (v31.0)

Future Perspective

Growing Job Market

This field is experiencing expansion with increasing job opportunities and career advancement potential. Market demand is rising, with new positions being created.

Career ladder

Often before this role

  • Construction Laborer
  • Extraction Worker
  • Heavy Equipment Operator

Where it can lead

  • Construction Manager
  • Project Manager
  • Operations Manager

Impact of AI on this Job

AI tools for project management, predictive maintenance, and autonomous equipment could assist supervisors by optimizing schedules, identifying potential issues, and automating routine data collection. However, the need for human oversight, safety enforcement, and complex problem-solving in dynamic environments will remain crucial, as AI will primarily augment their decision-making rather than replace it.