AI Automation Index

Will AI Replace Textile Knitting and Weaving Machine Setters, Operators, and Tenders?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Textile Knitting and Weaving Machine Setters, Operators, and Tenders. Run the upskilling simulator.

E-E-A-T Verified
• Developed & audited by Gini Loh

AI Vulnerability

39% risk score

Median Salary

$39,530 / year

Growth Demand

Low

Constituent Task Mix

We parsed O*NET's 19 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 5%
Medium Automation Risk (Cognitive/Technical) 68%
Low Automation Risk (Strategy/Leadership) 27%

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constituent Tasks

Observe woven cloth to detect weaving defects.

Semi-structured task combining routine and non-routine responsibilities.

Thread yarn, thread, and fabric through guides, needles, and rollers of machines for weaving, knitting, or other processing.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Remove defects in cloth by cutting and pulling out filling.

Semi-structured task combining routine and non-routine responsibilities.

Examine looms to determine causes of loom stoppage, such as warp filling, harness breaks, or mechanical defects.

Semi-structured task combining routine and non-routine responsibilities.

Inspect products to ensure that specifications are met and to determine if machines need adjustment.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Notify supervisors or repair staff of mechanical malfunctions.

Semi-structured task combining routine and non-routine responsibilities.

Start machines, monitor operations, and make adjustments as needed.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Stop machines when specified amounts of product have been produced.

Semi-structured task combining routine and non-routine responsibilities.

Inspect machinery to determine whether repairs are needed.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Confer with co-workers to obtain information about orders, processes, or problems.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Operate machines for test runs to verify adjustments and to obtain product samples.

Semi-structured task combining routine and non-routine responsibilities.

Program electronic equipment.

Semi-structured task combining routine and non-routine responsibilities.

Set up, or set up and operate textile machines that perform textile processing and manufacturing operations such as winding, twisting, knitting, weaving, bonding, or stretching.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Install, level, and align machine components such as gears, chains, guides, dies, cutters, or needles to set up machinery for operation.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Record information about work completed and machine settings.

Routine cognitive or manual task with high vulnerability to automation.

Study guides, loom patterns, samples, charts, or specification sheets, or confer with supervisors or engineering staff to determine setup requirements.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Repair or replace worn or defective needles and other components, using hand tools.

Semi-structured task combining routine and non-routine responsibilities.

Clean, oil, and lubricate machines, using air hoses, cleaning solutions, rags, oil cans, or grease guns.

Semi-structured task combining routine and non-routine responsibilities.

Adjust machine heating mechanisms, tensions, and speeds to produce specified products.

Semi-structured task combining routine and non-routine responsibilities.

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Community Sentiment

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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