52
/100

SOC 47-2051

Cement Masons and Concrete Finishers

ElevatedFrey/Osborne: 94.0%

Risk Score

โš ๏ธ

52/100

Elevated

US Employment

๐Ÿ‘ฅ

205,230

Total workers

Median Wage

๐Ÿ’ฐ

$55K

$38K โ€“ $88K

Projected Growth

๐Ÿ“ˆ

+1.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Cement Masons and Concrete Finishers face a risk score of 52/100 โ€” 8 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $55K ($8K 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 52/100, Cement Masons and Concrete Finishers faces moderate automation pressure. While tasks like autonomous heavy equipment operation are increasingly handled by AI, the role retains significant human elements. The 205,230 workers in this occupation should focus on strengthening skills in real-time safety judgment in hazardous conditions and fine motor craftsmanship in custom installations to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Cement Masons and Concrete Finishers?

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

BIM-integrated automated progress tracking

4

Robotic bricklaying and prefabrication automation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Real-time safety judgment in hazardous conditions

โœ“

Fine motor craftsmanship in custom installations

โœ“

Client-facing consultation on custom project needs

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

Check the forms that hold the concrete to see that they are properly constructed.

โ€ข

Set the forms that hold concrete to the desired pitch and depth, and align them.

โ€ข

Spread, level, and smooth concrete, using rake, shovel, hand or power trowel, hand or power screed, and float.

โ€ข

Monitor how the wind, heat, or cold affect the curing of the concrete throughout the entire process.

โ€ข

Mold expansion joints and edges, using edging tools, jointers, and straightedge.

๐Ÿ’ป Technology Skills

โ€ข

Information retrieval or search software

โ€ข

Analytical or scientific software

โ€ข

Project management software

โ€ข

Accounting software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Building and Construction

โ€ข

Mathematics

โ€ข

Public Safety and Security

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$55K
+$8K

National avg: $46K

Risk Score52/100
+8

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth1.8%
-1.9%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
Extraction Workers29$56K76%
Electricians32$62K70%