How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately 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 52.7 to 76.7
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 Grinding and Polishing Workers, Hand
It is skill-adjacent and less exposed (58.8 vs 65). 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
Clean and smooth molds, cores, and core boxes, and repair surface imperfections.
64.7
Sift and pack sand into mold sections, core boxes, and pattern contours, using hand or pneumatic ramming tools.
64.7
Position patterns inside mold sections, and clamp sections together.
64.7
Position cores into lower sections of molds, and reassemble molds for pouring.
64.7
Sprinkle or spray parting agents onto patterns and mold sections to facilitate removal of patterns from molds.
64.7
Form and assemble slab cores around patterns, and position wire in mold sections to reinforce molds, using hand tools and glue.
64.7
Move and position workpieces, such as mold sections, patterns, and bottom boards, using cranes, or signal others to move workpieces.
64.7
Lift upper mold sections from lower sections, and remove molded patterns.
64.7
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Local demand is declining
Task: Clean and smooth molds, cores, and core boxes, and repair surface imperfections.
Task: Sift and pack sand into mold sections, core boxes, and pattern contours, using hand or pneumatic ramming tools.
Lower-risk adjacent roles
Grinding and Polishing Workers, Hand
58.8
Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders
62.3
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Foundry Mold and Coremakers to its standard O*NET task list (8 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 64.7.
The timeline comes from the higher axis (64.7), 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.