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How exposed to AI is a Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tender?

Of the 24 tasks O*NET lists for textile winding, twisting, and drawing out machine setters, operators, and tenders, 0 could be done in half the time with a chat window today. 21 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
Back WinderCable OperatorComputer Integrated Manufacturing Operator (CIM Operator)Drawing OperatorLine OperatorSpinnerSpinning OperatorTwister OperatorWinder OperatorWinder Tender
Reachable today Needs software built first Cannot be sped up
24
tasks rated for this occupation
0%
hold a degree, from a survey of 22
22k
people do this job in the US
54 of 107
least protected in production

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Only with software built on top

3
  • Notify supervisors or mechanics of equipment malfunctions
  • Record production data such as numbers and types of bobbins wound
  • Study guides, samples, charts, and specification sheets, or confer with supervisors or engineering staff to determine setup requirements

Cannot be sped up

21
  • Thread yarn, thread, or fabric through guides, needles, and rollers of machines
  • Start machines, monitor operation, and make adjustments as needed
  • Inspect machinery to determine whether repairs are needed
  • Replace depleted supply packages with full packages
  • Stop machines when specified amount of products has been produced
  • Inspect products to verify that they meet specifications and to determine whether machine adjustment is needed
  • Tend machines that twist together two or more strands of yarn or insert additional twists into single strands of yarn to increase strength, smoothness, or uniformity of yarn
  • Observe operations to detect defects, malfunctions, or supply shortages
  • Operate machines for test runs to verify adjustments and to obtain product samples
  • Observe bobbins as they are winding and cut threads to remove loaded bobbins, using knives
  • Unwind lengths of yarn, thread, or twine from spools and wind onto bobbins
  • Adjust machine settings such as speed or tension to produce products that meet specifications
  • Tend spinning frames that draw out and twist roving or sliver into yarn
  • Remove spindles from machines and bobbins from spindles
  • Install, level, and align machine components such as gears, chains, guides, dies, cutters, or needles to set up machinery for operation
  • Place bobbins on spindles and insert spindles into bobbin-winding machines
  • Tend machines with multiple winding units that wind thread onto shuttle bobbins for use on sewing machines or other kinds of bobbins for sole-stitching, knitting, or weaving machinery
  • Repair or replace worn or defective parts or components, using hand tools
  • Measure bobbins periodically, using gauges, and turn screws to adjust tension if bobbins are not of specified size
  • Clean, oil, and lubricate machines, using air hoses, cleaning solutions, rags, oilcans, and grease guns
  • Tend machines that wind wire onto bobbins, preparatory to formation of wire netting used in reinforcing sheet glass
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.