Mostly Resilient

Last Update: 10/7/2026

AI Resilience Score for Extruding & Forming Machine:

50.3%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

High

Our confidence in this score:
Low-medium

Methodology and Scoring Rationale

To score how resilient extruding and forming machine work for synthetic and glass fibers is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For this role, 6 of 8 sources had data. AI exposure was split: Microsoft and OpenAI Signals saw much of the hands-on machine work staying human, while Will Robots Take My Job rated exposure high. That disagreement, plus missing data from Anthropic and Adaptive Capacity, keeps confidence at low-medium. Strong pay helped, but weak hiring demand pulled the score toward "Mostly Resilient."

AI Resilience Report forExtruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers

$46,350 median salary•1,100 annual openings•SOC Code: 51-6091.00

Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

This career is labeled "Mostly Resilient" because AI is changing how the work gets done rather than eliminating the people who do it. Machines now handle a lot of the monitoring and data crunching (like watching dozens of sensors at once), but loading materials, physically setting up equipment, and troubleshooting problems on the spot still need a real person with real hands and judgment.

Learn more about how you can thrive in this position

This role is mostly resilient

This career is labeled "Mostly Resilient" because AI is changing how the work gets done rather than eliminating the people who do it. Machines now handle a lot of the monitoring and data crunching (like watching dozens of sensors at once), but loading materials, physically setting up equipment, and troubleshooting problems on the spot still need a real person with real hands and judgment.

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Analysis of current AI resilience

Extruding & Forming Machine

Updated quarterly

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More Career Info

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

They run machines that shape synthetic and glass fibers into products like ropes or fabrics, making sure everything works smoothly and safely.

Employment & Wage Data

Median Wage

$46,350

Jobs (2025)

13,500

Growth (2025-35)

-3.3%

Annual Openings

1,100

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

85% ResilienceSupplemental

Wipe finish rollers with cloths and wash finish trays with water when necessary.

2

82% ResilienceCore Task

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

3

82% ResilienceSupplemental

Remove polymer deposits from spinnerettes and equipment, using silicone spray, brass chisels, and bronze-wool pads.

4

80% ResilienceCore Task

Clean and maintain extruding and forming machines, using hand tools.

5

78% ResilienceSupplemental

Remove excess, entangled, or completed filaments from machines, using hand tools.

6

75% ResilienceSupplemental

Open cabinet doors to cut multifilament threadlines away from guides, using scissors.

7

72% ResilienceSupplemental

Lower pans inside cabinets to catch molten filaments until flow of polymer through packs has stopped.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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