Career card

Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers

Also called: Extruder Operator, Extrusion Line Operator, Extrusion Operator, Spindraw Operator

Set up, operate, or tend machines that extrude and form continuous filaments from synthetic materials, such as liquid polymer, rayon, and fiberglass.

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Median pay BLS, 2025$46,350
Openings a year BLS, 2025–351,100
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -3.3%

What the data says: AI could halve the time on 3 of its 17 tasks, and jobs are projected to shrink 3.3% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 1.0% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Other textile, apparel, and furnishings workers”
  • From Sep 2025 to Aug 2026, 8.4 hires for every 10 job openings in nondurable goods manufacturing, which employs about 68% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 23% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$33k$61knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$60,100$43,960 to $63,180930
Arkansas$47,770$46,900 to $47,97090
California$45,290$42,770 to $53,480330
Florida$43,520$41,210 to $59,000620
Georgia$45,360$41,500 to $49,7102,530
Indiana$57,200$47,520 to $57,200390
Iowa$48,400$40,430 to $57,430100
Kansas$50,320$46,620 to $66,930320
Kentucky$33,330$33,330 to $35,260120
Maryland$50,790$50,790 to $56,980not published
Michigan$49,180$47,280 to $53,930180
Minnesota$52,600$48,940 to $60,620410
Missouri$48,810$48,810 to $51,71070
Nebraska$37,630$37,630 to $43,97050
New York$44,120$38,640 to $56,460210
North Carolina$40,090$36,910 to $53,2301,980
Ohio$61,440$48,910 to $67,240380
Pennsylvania$55,960$36,440 to $66,610490
South Carolina$43,380$37,670 to $49,9801,080
Tennessee$46,200$40,730 to $71,610320
Texas$46,970$35,980 to $59,460520
Utah$38,570$36,750 to $44,960100
Virginia$40,770$38,920 to $48,340540
Wisconsin$41,980$36,330 to $47,730180

Nationally: $46,350. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 3 of its 17 tasks

0 · AI alone could halve the time 3 · AI + software built on it could 14 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Press buttons to stop machines when processes are complete or when malfunctions are detected. Not published
AI + software Notify other workers of defects, and direct them to adjust extruding and forming machines. Not published
Not much Observe machine operations, control boards, and gauges to detect malfunctions such as clogged bushings and defective binder applicators. Not published
AI + software Record details of machine malfunctions. Not published
Not much Set up, operate, or tend machines that extrude and form filaments from synthetic materials such as rayon, fiberglass, or liquid polymers. Not published
Not much Move controls to activate and adjust extruding and forming machines. Not published
See all 17 tasks
Not much Clean and maintain extruding and forming machines, using hand tools. Not published
Not much Load materials into extruding and forming machines, using hand tools, and adjust feed mechanisms to set feed rates. Not published
Not much Observe flow of finish across finish rollers, and turn valves to adjust flow to specifications. Not published
Not much Remove polymer deposits from spinnerettes and equipment, using silicone spray, brass chisels, and bronze-wool pads. Not published
Not much Start metering pumps and observe operation of machines and equipment to ensure continuous flow of filaments extruded through spinnerettes and to detect processing defects. Not published
Not much Remove excess, entangled, or completed filaments from machines, using hand tools. Not published
Not much Press metering-pump buttons and turn valves to stop flow of polymers. Not published
AI + software Record operational data on tags, and attach tags to machines. Not published
Not much Wipe finish rollers with cloths and wash finish trays with water when necessary. Not published
Not much Lower pans inside cabinets to catch molten filaments until flow of polymer through packs has stopped. Not published
Not much Open cabinet doors to cut multifilament threadlines away from guides, using scissors. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 0 of the 17 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 17 tasks fall under 13 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up3 of 17 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most0 of 13 activities Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Adjust equipment to ensure adequate performance 20#57 4.31#101
Operate industrial processing or production equipment 0.13#309 0.02#301
Maintain operational records 2.92#170 0.49#209
Monitor equipment operation 1.87#203 0.26#236
Maintain tools or equipment 4.47#136 1.04#167
Position tools or equipment 3.37#157 0.78#176
Mark materials or objects for identification 3.28#160 0.80#172
Show all 13 activities
Notify others of emergencies or problems 2.78#172 4.95#92
Cut materials 2.75#173 0.50#207
Signal others to coordinate work activities 0.33#283 0.74#179
Operate pumping systems or equipment 0.16#307 0.02#297
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Maintain operational records” holds 2 tasks rated AI + software, yet people asked AI for help with it in 2.92 of every 10,000 conversations, #170 of 332.
How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for extruding and forming machine setters, operators, and tenders, synthetic and glass fibers specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers: -3.3%Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass FibersAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers: -3.3%Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 2,062 moves out

  1. 1 General and Operations Managers High +5.0% 20%
  2. 2 Educational, Guidance, and Career Counselors and Advisors Very high +2.9% 13%
  3. 3 Industrial Machinery Mechanics Moderate +17.8% 13%
  4. 4 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 11%
  5. 5 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%

Where people moved in from

of 2,255 moves in

  1. 1 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 10%
  2. 2 Industrial Truck and Tractor Operators Low +1.5% 6%
  3. 3 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 6%
  4. 4 Customer Service Representatives Very high -5.3% 4%
  5. 5 Retail Salespersons Very high -0.3% 3%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 19% less than high school
  • 74% high school
  • 6% postsecondary certificate

O*NET 31.0 survey of workers in this occupation · 23 people answered.

Census survey (American Community Survey)

  • 18% less than high school
  • 26% high school
  • 29% some college
  • 12% associate's
  • 14% bachelor's
  • 1% master's

Census ACS 2024, all workers in the Census group “Other textile, apparel, and furnishings workers” · 137 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Jobs that require a credential BLS Occupational Requirements Survey 2023

BLS publishes no credential figures for this occupation.

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

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