Will AI replace Foundry Mold and Coremakers?
Estimated risk score: 4 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 23).
For the occupation as a whole, from ratings of its 13 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-4071.00 · Production
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 13 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 13 of its 13 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean and smooth molds, cores, and core boxes, and repair surface imperfections.
- Form and assemble slab cores around patterns, and position wire in mold sections to reinforce molds, using hand tools and glue.
- Move and position workpieces, such as mold sections, patterns, and bottom boards, using cranes, or signal others to move workpieces.
- Sift and pack sand into mold sections, core boxes, and pattern contours, using hand or pneumatic ramming tools.
- Sprinkle or spray parting agents onto patterns and mold sections to facilitate removal of patterns from molds.
- Cut spouts, runner holes, and sprue holes into molds.
What the job is
Make or form wax or sand cores or molds used in the production of metal castings in foundries.
Also called: Coremaker, Core Maker, Core Baker, Core Drier, Core Piler, Dry Molder, Bond Runner, Core Paster.
Related jobs, estimated
- Pourers and Casters, Metalestimate ±194Very low
- Drilling and Boring Machine Tool Setters, Operators, and Tenders, Metal and Plasticestimate ±199Very low
- Extruding and Drawing Machine Setters, Operators, and Tenders, Metal and Plasticestimate ±1910Very low
- Forging Machine Setters, Operators, and Tenders, Metal and Plasticestimate ±1911Very low
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate