59
/100

SOC 47-2061

Construction Laborers

ElevatedFrey/Osborne: 88.0%

Risk Score

โš ๏ธ

59/100

Elevated

US Employment

๐Ÿ‘ฅ

1,057,660

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$34K โ€“ $78K

Projected Growth

๐Ÿ“ˆ

+7.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

34/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Construction Laborers face a risk score of 59/100 โ€” 15 points above the national average of 44. With only 34/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($420 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 59/100, Construction Laborers faces moderate automation pressure. While tasks like robotic bricklaying and prefabrication automation are increasingly handled by AI, the role retains significant human elements. The 1,057,660 workers in this occupation should focus on strengthening skills in fine motor craftsmanship in custom installations and adapting to unique building configurations on-site to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Construction Laborers?

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

โš ๏ธ Top Risk Factors

1

Robotic bricklaying and prefabrication automation

2

Autonomous heavy equipment operation

3

3D printing of building components

4

Drone-based site surveying and inspection

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Fine motor craftsmanship in custom installations

โœ“

Adapting to unique building configurations on-site

โœ“

Real-time safety judgment in hazardous conditions

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

Tend pumps, compressors, or generators to provide power for tools, machinery, or equipment or to heat or move materials, such as asphalt.

โ€ข

Lubricate, clean, or repair machinery, equipment, or tools.

โ€ข

Signal equipment operators to facilitate alignment, movement, or adjustment of machinery, equipment, or materials.

โ€ข

Read plans, instructions, or specifications to determine work activities.

โ€ข

Measure, mark, or record openings or distances to layout areas where construction work will be performed.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

โ€ข

Operating system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Building and Construction

โ€ข

Public Safety and Security

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$47K
+$420

National avg: $46K

Risk Score59/100
+15

National avg: 44/100

GenAI Exposure34/100
-4

National avg: 38/100

Projected Growth7.3%
+3.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K63%
Extraction Workers29$56K75%
Electricians32$62K84%