AI exposure Production
Will AI replace extruding and forming machine setters?
Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers. US occupation 51-6091.
The reading
0.0%
of the time extruding and forming machine setters spend on their work goes on tasks where AI is already being used to do that work.of extruding and forming machine setters' working hours go on tasks AI has already started taking off their plate.
Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.
Per cent of working time Square-law scale
Average US job 7.7%
Among the least exposed jobs there are.Still waiting for liberation.
What AI already does for extruding and forming machine settersWhat extruding and forming machine setters no longer do alone
O*NET lists 17 tasks for extruding and forming machine setters. None of them shows meaningful AI use at work yet.
What it does not touch, yetWhat still needs a human
17 of the 17 tasks show no AI use at work in the data.
- Clean and maintain extruding and forming machines, using hand tools.Core task
- Load materials into extruding and forming machines, using hand tools, and adjust feed mechanisms to set feed rates.Core task
- Move controls to activate and adjust extruding and forming machines.Core task
- Notify other workers of defects, and direct them to adjust extruding and forming machines.Core task
- Observe machine operations, control boards, and gauges to detect malfunctions such as clogged bushings and defective binder applicators.Core task
- Press buttons to stop machines when processes are complete or when malfunctions are detected.Core task
Show the other 11
- Record details of machine malfunctions.Core task
- Set up, operate, or tend machines that extrude and form filaments from synthetic materials such as rayon, fiberglass, or liquid polymers.Core task
- Lower pans inside cabinets to catch molten filaments until flow of polymer through packs has stopped.
- Observe flow of finish across finish rollers, and turn valves to adjust flow to specifications.
- Open cabinet doors to cut multifilament threadlines away from guides, using scissors.
- Press metering-pump buttons and turn valves to stop flow of polymers.
- Record operational data on tags, and attach tags to machines.
- Remove excess, entangled, or completed filaments from machines, using hand tools.
- Remove polymer deposits from spinnerettes and equipment, using silicone spray, brass chisels, and bronze-wool pads.
- Start metering pumps and observe operation of machines and equipment to ensure continuous flow of filaments extruded through spinnerettes and to detect processing defects.
- Wipe finish rollers with cloths and wash finish trays with water when necessary.
How that compares
Among the 98 production occupations, extruding and forming machine setters rank 36. The group averages 0.8%, and its most exposed job is Computer Numerically Controlled Tool Programmers at 12.1%. The average US occupation sits at 7.7%.
What this does and does not mean
Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.
A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.
Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.