40
/100

SOC 47-1011

First-Line Supervisors of Construction Trades and Extraction Workers

ModerateFrey/Osborne: 17.0%

Risk Score

โš ๏ธ

40/100

Moderate

US Employment

๐Ÿ‘ฅ

806,080

Total workers

Median Wage

๐Ÿ’ฐ

$79K

$51K โ€“ $127K

Projected Growth

๐Ÿ“ˆ

+5.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก First-Line Supervisors of Construction Trades and Extraction Workers face a risk score of 40/100 โ€” 4 points below the national average of 44. With 67/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $79K ($32K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 40/100, First-Line Supervisors of Construction Trades and Extraction Workers faces moderate automation pressure. While tasks like autonomous heavy equipment operation are increasingly handled by AI, the role retains significant human elements. The 806,080 workers in this occupation should focus on strengthening skills in adapting to unique building configurations on-site and real-time safety judgment in hazardous conditions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace First-Line Supervisors of Construction Trades and Extraction Workers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Autonomous heavy equipment operation

2

AI project scheduling and resource optimization

3

AI coding assistants reducing developer demand

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Adapting to unique building configurations on-site

โœ“

Real-time safety judgment in hazardous conditions

โœ“

Fine motor craftsmanship in custom installations

โœ“

Physical work in confined or elevated spaces

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met.

โ€ข

Read specifications, such as blueprints, to determine construction requirements or to plan procedures.

โ€ข

Supervise, coordinate, or schedule the activities of construction or extractive workers.

โ€ข

Assign work to employees, based on material or worker requirements of specific jobs.

โ€ข

Coordinate work activities with other construction project activities.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Computer aided design CAD software

โ€ข

Facilities management software

โ€ข

Calendar and scheduling software

โ€ข

Graphics or photo imaging software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Building and Construction

โ€ข

Customer and Personal Service

โ€ข

Administration and Management

โ€ข

Mechanical

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$79K
+$32K

National avg: $46K

Risk Score40/100
-4

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth5.3%
+1.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K65%
Supervisors of Construction and Extraction Workers33$79K74%
Electrical Power-Line Installers and Repairers28$93K69%