63
/100

SOC 47-3011

Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters

High RiskFrey/Osborne: 83.0%

Risk Score

โš ๏ธ

63/100

High Risk

US Employment

๐Ÿ‘ฅ

15,660

Total workers

Median Wage

๐Ÿ’ฐ

$46K

$36K โ€“ $68K

Projected Growth

๐Ÿ“ˆ

-10.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters face a risk score of 63/100 โ€” 19 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 $46K ($170 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 63/100, Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters faces moderate automation pressure. While tasks like bim-integrated automated progress tracking are increasingly handled by AI, the role retains significant human elements. The 15,660 workers in this occupation should focus on strengthening skills in navigating unpredictable and unstructured job sites and real-time safety judgment in hazardous conditions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters?

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

โš ๏ธ Top Risk Factors

1

BIM-integrated automated progress tracking

2

Autonomous heavy equipment operation

3

Robotic bricklaying and prefabrication automation

4

3D printing of building components

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable and unstructured job sites

โœ“

Real-time safety judgment in hazardous conditions

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

Mix mortar, plaster, and grout, manually or using machines, according to standard formulas.

โ€ข

Erect scaffolding or other installation structures.

โ€ข

Cut materials to specified sizes for installation, using power saws or tile cutters.

โ€ข

Modify material moving, mixing, grouting, grinding, polishing, or cleaning procedures, according to installation or material requirements.

โ€ข

Transport materials, tools, or machines to installation sites, manually or using conveyance equipment.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Computer aided design CAD software

โ€ข

Data base user interface and query software

โ€ข

Analytical or scientific software

โ€ข

Project management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Building and Construction

โ€ข

Mechanical

โ€ข

Design

โ€ข

Mathematics

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$46K
+$170

National avg: $46K

Risk Score63/100
+19

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth-10.5%
-14.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K51%
Extraction Workers29$56K83%
Electricians32$62K77%