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Manufacturing & Production · Updated Aug 2026

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

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

JVS 2.0.0-phase4b
AI Exposure
46/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
44/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence82/100
Task coverage86%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Load materials into extruding and forming machines, using hand tools, and adjust feed mechanisms to set feed rates.High
66
Set up, operate, or tend machines that extrude and form filaments from synthetic materials such as rayon, fiberglass, or liquid polymers.High
66
Notify other workers of defects, and direct them to adjust extruding and forming machines.High
69
Record operational data on tags, and attach tags to machines.Medium
70
Press metering-pump buttons and turn valves to stop flow of polymers.Medium
72
Wipe finish rollers with cloths and wash finish trays with water when necessary.Medium
72
Observe machine operations, control boards, and gauges to detect malfunctions such as clogged bushings and defective binder applicators.High
31
Press buttons to stop machines when processes are complete or when malfunctions are detected.High
38
Observe flow of finish across finish rollers, and turn valves to adjust flow to specifications.High
31
Start metering pumps and observe operation of machines and equipment to ensure continuous flow of filaments extruded through spinnerettes and to detect processing defects.Medium
31
Remove polymer deposits from spinnerettes and equipment, using silicone spray, brass chisels, and bronze-wool pads.High
23
Move controls to activate and adjust extruding and forming machines.Medium
23
Remove excess, entangled, or completed filaments from machines, using hand tools.Medium
23
Clean and maintain extruding and forming machines, using hand tools.Medium
23
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Press metering-pump buttons and turn valves to stop flow of polymers.72
  2. Wipe finish rollers with cloths and wash finish trays with water when necessary.72
  3. Record operational data on tags, and attach tags to machines.70
  4. Notify other workers of defects, and direct them to adjust extruding and forming machines.69
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Remove polymer deposits from spinnerettes and equipment, using silicone spray, brass chisels, and bronze-wool pads.01
  2. Move controls to activate and adjust extruding and forming machines.02
  3. Remove excess, entangled, or completed filaments from machines, using hand tools.03
  4. Clean and maintain extruding and forming machines, using hand tools.04
  5. Observe machine operations, control boards, and gauges to detect malfunctions such as clogged bushings and defective binder applicators.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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AI risk 49

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AI risk 44

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency65
Physical dependency61
Adoption pressure54
Labour-market resilience61
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence82/100
CalculatedAug 21, 2026
Read methodology →