Will AI replace Rolling Machine Setters, Operators, and Tenders, Metal and Plastic?
AI reaches little of this job’s work.
7/100
Low exposure
More exposed to AI than 12% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 13% of the work
What the job involves
Set up, operate, or tend machines to roll steel or plastic forming bends, beads, knurls, rolls, or plate, or to flatten, temper, or reduce gauge of material.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Signal and assist other workers to remove and position equipment, fill hoppers, and feed materials into machines.
- Record mill production on schedule sheets.
- Select rolls, dies, roll stands, and chucks from data charts to form specified contours and to fabricate products.
Out of reach(16)
- Adjust and correct machine set-ups to reduce thicknesses, reshape products, and eliminate product defects.
- Read rolling orders, blueprints, and mill schedules to determine setup specifications, work sequences, product dimensions, and installation procedures.
- Monitor machine cycles and mill operation to detect jamming and to ensure that products conform to specifications.
- Examine, inspect, and measure raw materials and finished products to verify conformance to specifications.
- Manipulate controls and observe dial indicators to monitor, adjust, and regulate speeds of machine mechanisms.
and 11 more
Also called
Roller · Cold Mill Operator · Rolling Mill Operator · Flanger · Guide Setter · Hot Mill Roller · Hot Mill Tin Roller · Manipulator
Related jobs
- Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic6/100
- Woodworking Machine Setters, Operators, and Tenders, Except Sawing3/100
- Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic2/100
- Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic7/100
- Cutting and Slicing Machine Setters, Operators, and Tenders8/100
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