56
/100

SOC 47-2071

Paving, Surfacing, and Tamping Equipment Operators

ElevatedFrey/Osborne: 83.0%

Risk Score

โš ๏ธ

56/100

Elevated

US Employment

๐Ÿ‘ฅ

45,680

Total workers

Median Wage

๐Ÿ’ฐ

$52K

$38K โ€“ $90K

Projected Growth

๐Ÿ“ˆ

+3.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

29/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Paving, Surfacing, and Tamping Equipment Operators face a risk score of 56/100 โ€” 12 points above the national average of 44. With only 29/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $52K ($5K 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 56/100, Paving, Surfacing, and Tamping Equipment Operators faces moderate automation pressure. While tasks like autonomous heavy equipment operation are increasingly handled by AI, the role retains significant human elements. The 45,680 workers in this occupation should focus on strengthening skills in real-time safety judgment in hazardous conditions and adapting to unique building configurations on-site to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Paving, Surfacing, and Tamping Equipment Operators?

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

BIM-integrated automated progress tracking

3

Robotic bricklaying and prefabrication automation

4

3D printing of building components

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Real-time safety judgment in hazardous conditions

โœ“

Adapting to unique building configurations on-site

โœ“

Physical work in confined or elevated spaces

โœ“

Client-facing consultation on custom project needs

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

Start machine, engage clutch, and push and move levers to guide machine along forms or guidelines and to control the operation of machine attachments.

โ€ข

Fill tanks, hoppers, or machines with paving materials.

โ€ข

Control paving machines to push dump trucks and to maintain a constant flow of asphalt or other material into hoppers or screeds.

โ€ข

Observe distribution of paving material to adjust machine settings or material flow, and indicate low spots for workers to add material.

โ€ข

Coordinate truck dumping.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Data base user interface and query software

โ€ข

Electronic mail software

โ€ข

Project management software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Building and Construction

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Physics

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$52K
+$5K

National avg: $46K

Risk Score56/100
+12

National avg: 44/100

GenAI Exposure29/100
-9

National avg: 38/100

Projected Growth3.2%
-0.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
Extraction Workers29$56K84%
Electricians32$62K78%