Will AI replace Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers?
Estimated risk score: 13 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 32).
For the occupation as a whole, from ratings of its 21 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-6091.00 · 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 21 rated tasks. In O*NET’s words.
- Record details of machine malfunctions.
- Record operational data on tags, and attach tags to machines.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 19 of its 21 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean and maintain extruding and forming machines, using hand tools.
- Load materials into extruding and forming machines, using hand tools, and adjust feed mechanisms to set feed rates.
- Move controls to activate and adjust extruding and forming machines.
- Notify other workers of defects, and direct them to adjust extruding and forming machines.
- Observe machine operations, control boards, and gauges to detect malfunctions such as clogged bushings and defective binder applicators.
- Press buttons to stop machines when processes are complete or when malfunctions are detected.
What the job is
Set up, operate, or tend machines that extrude and form continuous filaments from synthetic materials, such as liquid polymer, rayon, and fiberglass.
Also called: Spindraw Operator, Extrusion Line Operator, Pot Tipper, Box Spinner, Hot End Operator, Stretch Operator, Test Skein Winder, Pelletizer Operator.
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