Will AI replace Refractory Materials Repairers, Except Brickmasons?
AI reaches little of this job’s work.
0/100
Low exposure
More exposed to AI than 2% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 0% of the work
What the job involves
Build or repair equipment such as furnaces, kilns, cupolas, boilers, converters, ladles, soaking pits, and ovens, using refractory materials.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Out of reach(10)
- Reline or repair ladles and pouring spouts with refractory clay, using trowels.
- Mix specified amounts of sand, clay, mortar powder, and water to form refractory clay or mortar, using shovels or mixing machines.
- Chip slag from linings of ladles or remove linings when beyond repair, using hammers and chisels.
- Dry and bake new linings by placing inverted linings over burners, building fires in ladles, or by using blowtorches.
- Remove worn or damaged plastic block refractory linings of furnaces, using hand tools.
and 5 more
Also called
Cupola Repairer · Ladle Liner · Refractory Technician · Refractory Worker · Bondactor Machine Operator · Kiln Door Builder · Kiln Door Repairer · Ladle Repairer
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics