Will AI replace Patternmakers, Metal and Plastic?
Estimated risk score: 19 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 38).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-4062.00 · 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: 2 of its 15 rated tasks. In O*NET’s words.
- Create computer models of patterns or parts, using modeling software.
- Program computerized numerical control machine tools.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 11 of its 15 rated tasks; the first 6 are shown. In O*NET’s words.
- Assemble pattern sections, using hand tools, bolts, screws, rivets, glue, or welding equipment.
- Clean and finish patterns or templates, using emery cloths, files, scrapers, and power grinders.
- Construct platforms, fixtures, and jigs for holding and placing patterns.
- Mark identification numbers or symbols onto patterns or templates.
- Repair and rework templates and patterns.
- Set up and operate machine tools, such as milling machines, lathes, drill presses, and grinders, to machine castings or patterns.
What the job is
Lay out, machine, fit, and assemble castings and parts to metal or plastic foundry patterns, core boxes, or match plates.
Also called: Metal Pattern Maker, Loftsman, Mold Tooler, Chart Writer, Stencil Maker, Die Technician, Pattern Fitter, Fixture Builder.
Related jobs, estimated
- Model Makers, Metal and Plasticestimate ±1919Very low
- Rolling Machine Setters, Operators, and Tenders, Metal and Plasticestimate ±1919Very low
- Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plasticestimate ±1918Very low
- Metal-Refining Furnace Operators and Tendersestimate ±1920Very 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