Headline risk
37%
High RiskRefractory materials repairers, except brickmasons
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Build or repair equipment such as furnaces, kilns, cupolas, boilers, converters, ladles, soaking pits, and ovens, using refractory materials.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 58,540
Employment 2024
1.1K
Projected Change (2024–34)
-16.9%
Openings (2024–34)
0.1K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Reline or repair ladles and pouring spouts with refractory clay, using trowels. AI use: 0%
- 2. Mix specified amounts of sand, clay, mortar powder, and water to form refractory clay or mortar, using shovels or mixing machines. AI use: 0%
- 3. Chip slag from linings of ladles or remove linings when beyond repair, using hammers and chisels. AI use: 0%
- 4. Dry and bake new linings by placing inverted linings over burners, building fires in ladles, or by using blowtorches. AI use: 0%
- 5. Remove worn or damaged plastic block refractory linings of furnaces, using hand tools. AI use: 0%
- 6. Measure furnace walls to determine dimensions and cut required number of sheets from plastic block, using saws. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 40.8 · 56K employed
Under 25: 5% · 25–54: 73% · 55+: 23%
Related
No direct US role match is available yet for this occupation.
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.