Will AI replace Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers?
AI reaches little of this job’s work.
10/100
Low exposure
More exposed to AI than 21% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 21% of the work
What the job involves
Set up, operate, or tend machines that extrude and form continuous filaments from synthetic materials, such as liquid polymer, rayon, and fiberglass.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Notify other workers of defects, and direct them to adjust extruding and forming machines.
- Record details of machine malfunctions.
- Record operational data on tags, and attach tags to machines.
Out of reach(14)
- Press buttons to stop machines when processes are complete or when malfunctions are detected.
- Observe machine operations, control boards, and gauges to detect malfunctions such as clogged bushings and defective binder applicators.
- Set up, operate, or tend machines that extrude and form filaments from synthetic materials such as rayon, fiberglass, or liquid polymers.
- Move controls to activate and adjust extruding and forming machines.
- Clean and maintain extruding and forming machines, using hand tools.
and 9 more
Also called
Spinner · Synthetic Filament Extruder · Synthetic Staple Extruder · Extrusion Line Operator · Extrusion Operator · Beamer Operator · Beaming Machine Operator · Box Spinner
Related jobs
- Adhesive Bonding Machine Operators and Tenders0/100
- Paper Goods Machine Setters, Operators, and Tenders3/100
- Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders9/100
- Extruding and Drawing Machine Setters, Operators, and Tenders, Metal and Plastic8/100
- Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic4/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics