61
/100

SOC 47-2073

Operating Engineers and Other Construction Equipment Operators

High RiskFrey/Osborne: 95.0%

Risk Score

โš ๏ธ

61/100

High Risk

US Employment

๐Ÿ‘ฅ

469,270

Total workers

Median Wage

๐Ÿ’ฐ

$59K

$40K โ€“ $101K

Projected Growth

๐Ÿ“ˆ

+3.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

38/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Operating Engineers and Other Construction Equipment Operators face a risk score of 61/100 โ€” 17 points above the national average of 44. With only 38/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $59K ($12K 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 61/100, Operating Engineers and Other Construction Equipment Operators faces moderate automation pressure. While tasks like robotic bricklaying and prefabrication automation are increasingly handled by AI, the role retains significant human elements. The 469,270 workers in this occupation should focus on strengthening skills in adapting to unique building configurations on-site and client-facing consultation on custom project needs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Operating Engineers and Other Construction Equipment Operators?

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

BIM-integrated automated progress tracking

4

3D printing of building components

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Adapting to unique building configurations on-site

โœ“

Client-facing consultation on custom project needs

โœ“

Real-time safety judgment in hazardous conditions

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

Learn and follow safety regulations.

โ€ข

Take actions to avoid potential hazards or obstructions, such as utility lines, other equipment, other workers, or falling objects.

โ€ข

Start engines, move throttles, switches, or levers, or depress pedals to operate machines, such as bulldozers, trench excavators, road graders, or backhoes.

โ€ข

Coordinate machine actions with other activities, positioning or moving loads in response to hand or audio signals from crew members.

โ€ข

Align machines, cutterheads, or depth gauge makers with reference stakes and guidelines or ground or position equipment, following hand signals of other workers.

๐Ÿ’ป Technology Skills

โ€ข

Facilities management 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

Mechanical

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Mathematics

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$59K
+$12K

National avg: $46K

Risk Score61/100
+17

National avg: 44/100

GenAI Exposure38/100
0

National avg: 38/100

Projected Growth3.6%
-0.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K67%
Electricians32$62K73%
Supervisors of Construction and Extraction Workers33$79K71%