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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Task-level automation exposure for Foundry Mold and Coremakers: 13 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
13 of 13 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
12,790 people hold this job — size, not growth
Projected 2025–35
800 openings a year · BLS line item
BLS OEWS publishes 33 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$37,310 – $67,060
Highest medians
Lowest medians
State figures come from the 51-4071 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
13 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
0 tasks
0 tasks
13 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Clean and smooth molds, cores, and core boxes, and repair surface imperfections.
physical manipulation — Hand finishing of metal edges with tools
Sift and pack sand into mold sections, core boxes, and pattern contours, using hand or pneumatic ramming tools.
physical manipulation — Manual placement of materials into molds
Position patterns inside mold sections, and clamp sections together.
physical manipulation — Physical alignment of patterns on workpieces
Position cores into lower sections of molds, and reassemble molds for pouring.
physical manipulation — Mold building is hands-on craft work
Sprinkle or spray parting agents onto patterns and mold sections to facilitate removal of patterns from molds.
physical manipulation — Applying parting agents is manual mold prep
Form and assemble slab cores around patterns, and position wire in mold sections to reinforce molds, using hand tools and glue.
physical manipulation — Mold building is hands-on craft work
Move and position workpieces, such as mold sections, patterns, and bottom boards, using cranes, or signal others to move workpieces.
physical manipulation — Rigging and lifting loads with cranes is hands-on
Lift upper mold sections from lower sections, and remove molded patterns.
physical manipulation — Removing workpieces from molds is physical
Cut spouts, runner holes, and sprue holes into molds.
physical manipulation — Hands-on industrial material cutting
Tend machines that bond cope and drag together to form completed shell molds.
physical manipulation — Mold building is hands-on craft work
Rotate sweep boards around spindles to make symmetrical molds for convex impressions.
physical manipulation — Mold building is hands-on craft work
Pour molten metal into molds, manually or with crane ladles.
physical manipulation — Manual placement of materials into molds
Operate ovens or furnaces to bake cores or to melt, skim, and flux metal.
physical manipulation — Physical control of heating/drying equipment
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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