AI Stole My Job

Will AI replace Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic?

Estimated risk score: 12 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 31).

For the occupation as a whole, from ratings of its 33 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.

O*NET-SOC 51-4072.00 · 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: 1 of its 33 rated tasks. In O*NET’s words.

  1. Inventory and record quantities of materials and finished products, requisitioning additional supplies as necessary.

Tasks rated in 2023 as not sped up by AI

Tasks such a model was rated as not speeding up or taking over: 29 of its 33 rated tasks; the first 6 are shown. In O*NET’s words.

  1. Connect water hoses to cooling systems of dies, using hand tools.
  2. Perform maintenance work such as cleaning and oiling machines.
  3. Remove parts, such as dies, from machines after production runs are finished.
  4. Set up, operate, or tend metal or plastic molding, casting, or coremaking machines to mold or cast metal or thermoplastic parts or products.
  5. Smooth and clean inner surfaces of molds, using brushes, scrapers, air hoses, or grinding wheels, and fill imperfections with refractory material.
  6. Turn valves and dials of machines to regulate pressure, temperature, and speed and feed rates, and to set cycle times.

What the job is

Set up, operate, or tend metal or plastic molding, casting, or coremaking machines to mold or cast metal or thermoplastic parts or products.

Also called: Mat Maker, Bit Bender, Core Filer, Die Caster, Hot Molder, Ironmolder, Mat Roller, Core Blower.

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