Will AI replace Molders, Shapers, and Casters, Except Metal and Plastic?
Estimated risk score: 7 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 26).
For the occupation as a whole, from ratings of its 27 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-9195.00 · 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 27 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: 27 of its 27 rated tasks; the first 6 are shown. In O*NET’s words.
- Trim or remove excess material, using scrapers, knives, or band saws.
- Read work orders or examine parts to determine parts or sections of products to be produced.
- Align and assemble parts to produce completed products, using gauges and hand tools.
- Assemble, insert, and adjust wires, tubes, cores, fittings, rods, or patterns into molds, using hand tools and depth gauges.
- Bore holes or cut grates, risers, or pouring spouts in molds, using power tools.
- Brush or spray mold surfaces with parting agents or insert paper into molds to ensure smoothness and prevent sticking or seepage.
What the job is
Mold, shape, form, cast, or carve products such as food products, figurines, tile, pipes, and candles consisting of clay, glass, plaster, concrete, stone, or combinations of materials.
Also called: Mold Mechanic, Molding Line Operator, Demolder, Batter Out, Cell Maker, Ornamenter, Toby Maker, Adobe Maker.
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