Will AI replace Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders?
AI reaches little of this job’s work.
9/100
Low exposure
More exposed to AI than 20% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 15% of the work
What the job involves
Set up, operate, or tend machines, such as glass-forming machines, plodder machines, and tuber machines, to shape and form products such as glassware, food, rubber, soap, brick, tile, clay, wax, tobacco, or cosmetics.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(4)
- Record and maintain production data, such as meter readings, and quantities, types, and dimensions of materials produced.
- Select and install machine components, such as dies, molds, and cutters, according to specifications, using hand tools and measuring devices.
- Send product samples to laboratories for analysis.
- Complete work tickets, and place them with products.
Out of reach(22)
- Press control buttons to activate machinery and equipment.
- Monitor machine operations and observe lights and gauges to detect malfunctions.
- Examine, measure, and weigh materials or products to verify conformance to standards, using measuring devices such as templates, micrometers, or scales.
- Adjust machine components to regulate speeds, pressures, and temperatures, and amounts, dimensions, and flow of materials or ingredients.
- Turn controls to adjust machine functions, such as regulating air pressure, creating vacuums, and adjusting coolant flow.
and 17 more
Also called
Extruder Operator · Forming Machine Operator · Press Operator · Tuber Operator · Baler · Baler Operator · Briquette Operator · Broom Bundler
Related jobs
- Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers10/100
- Cutting and Slicing Machine Setters, Operators, and Tenders8/100
- Adhesive Bonding Machine Operators and Tenders0/100
- Paper Goods Machine Setters, Operators, and Tenders3/100
- Machine Feeders and Offbearers9/100
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