How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is highly exposed to automation, and the bigger shift looks near-term.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.0 to 12.0
Physical / roboticsrange 62.0 to 86.0
When the change is likely
Near-term, highlocal demand declining
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Act within the next 1 to 2 years
Displacement for this role is near-term. Start a concrete reskilling plan now, while you still have income and leverage.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
3
Pivot toward Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic
It is skill-adjacent and less exposed (63.8 vs 74). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Reline or repair ladles and pouring spouts with refractory clay, using trowels.
74.0
Chip slag from linings of ladles or remove linings when beyond repair, using hammers and chisels.
74.0
Mix specified amounts of sand, clay, mortar powder, and water to form refractory clay or mortar, using shovels or mixing machines.
74.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Reline or repair ladles and pouring spouts with refractory clay, using trowels.
Task: Chip slag from linings of ladles or remove linings when beyond repair, using hammers and chisels.
Local demand is declining
Lower-risk adjacent roles
Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic
63.8
Foundry Mold and Coremakers
64.7
Terrazzo Workers and Finishers
66.7
Molders, Shapers, and Casters, Except Metal and Plastic
67.1
Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters
74.0
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Refractory Materials Repairers, Except Brickmasons to its standard O*NET task list (3 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 0.0, robotics 74.0.
The timeline comes from the higher axis (74.0), shifted for local demand (declining), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.