68
/100

SOC 49-9045

Refractory Materials Repairers, Except Brickmasons

High RiskFrey/Osborne: 82.0%

Risk Score

โš ๏ธ

68/100

High Risk

US Employment

๐Ÿ‘ฅ

1,100

Total workers

Median Wage

๐Ÿ’ฐ

$59K

$37K โ€“ $81K

Projected Growth

๐Ÿ“ˆ

-16.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Refractory Materials Repairers, Except Brickmasons face a risk score of 68/100 โ€” 24 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 $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 68/100, Refractory Materials Repairers, Except Brickmasons faces moderate automation pressure. While tasks like augmented reality-guided remote diagnostics are increasingly handled by AI, the role retains significant human elements. The 1,100 workers in this occupation should focus on strengthening skills in diagnosing novel equipment failures through physical inspection and customer communication about technical issues to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Refractory Materials Repairers, Except Brickmasons?

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

โš ๏ธ Top Risk Factors

1

Augmented reality-guided remote diagnostics

2

Predictive maintenance AI reducing reactive repair needs

3

AI parts inventory and supply chain optimization

4

Automated fault detection via IoT sensor networks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Customer communication about technical issues

โœ“

Hands-on fine motor work in intricate machinery

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

Reline or repair ladles and pouring spouts with refractory clay, using trowels.

โ€ข

Chip slag from linings of ladles or remove linings when beyond repair, using hammers and chisels.

โ€ข

Mix specified amounts of sand, clay, mortar powder, and water to form refractory clay or mortar, using shovels or mixing machines.

โ€ข

Measure furnace walls to determine dimensions and cut required number of sheets from plastic block, using saws.

โ€ข

Dry and bake new linings by placing inverted linings over burners, building fires in ladles, or by using blowtorches.

๐Ÿ’ป Technology Skills

โ€ข

Facilities management software

โ€ข

Data base user interface and query software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

โ€ข

Presentation software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Production and Processing

โ€ข

Public Safety and Security

โ€ข

English Language

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$59K
+$12K

National avg: $46K

Risk Score68/100
+24

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth-16.9%
-20.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K61%
Electrical Power-Line Installers and Repairers28$93K80%
Supervisors of Installation, Maintenance, and Repair Workers33$78K70%