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AI exposure Production

Will AI replace textile winding?

Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders. US occupation 51-6064.

0.0%

of the time textile winding spend on their work goes on tasks where AI is already being used to do that work.of textile winding's working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for textile windingWhat textile winding no longer do alone

O*NET lists 23 tasks for textile winding. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

23 of the 23 tasks show no AI use at work in the data.

  • Inspect machinery to determine whether repairs are needed.Core task
  • Inspect products to verify that they meet specifications and to determine whether machine adjustment is needed.Core task
  • Notify supervisors or mechanics of equipment malfunctions.Core task
  • Observe operations to detect defects, malfunctions, or supply shortages.Core task
  • Operate machines for test runs to verify adjustments and to obtain product samples.Core task
  • Record production data such as numbers and types of bobbins wound.Core task
Show the other 17
  • Replace depleted supply packages with full packages.Core task
  • Start machines, monitor operation, and make adjustments as needed.Core task
  • Stop machines when specified amount of products has been produced.Core task
  • 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.Core task
  • Thread yarn, thread, or fabric through guides, needles, and rollers of machines.Core task
  • Adjust machine settings such as speed or tension to produce products that meet specifications.
  • Clean, oil, and lubricate machines, using air hoses, cleaning solutions, rags, oilcans, and grease guns.
  • Install, level, and align machine components such as gears, chains, guides, dies, cutters, or needles to set up machinery for operation.
  • Measure bobbins periodically, using gauges, and turn screws to adjust tension if bobbins are not of specified size.
  • Observe bobbins as they are winding and cut threads to remove loaded bobbins, using knives.
  • Place bobbins on spindles and insert spindles into bobbin-winding machines.
  • Remove spindles from machines and bobbins from spindles.
  • Repair or replace worn or defective parts or components, using hand tools.
  • Study guides, samples, charts, and specification sheets, or confer with supervisors or engineering staff to determine setup requirements.
  • 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.
  • Tend spinning frames that draw out and twist roving or sliver into yarn.
  • Unwind lengths of yarn, thread, or twine from spools and wind onto bobbins.

How that compares

Among the 98 production occupations, textile winding rank 90. The group averages 0.8%, and its most exposed job is Computer Numerically Controlled Tool Programmers at 12.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Telecommunications Line Installers and Repairers 0.0%
  2. 346Telephone Operators 0.0%
  3. 346Terrazzo Workers and Finishers 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.