Will AI replace Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders?
Estimated risk score: 15 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 34).
For the occupation as a whole, from ratings of its 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 51-6064.00 · Production
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 2 of its 24 rated tasks. In O*NET’s words.
- 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.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 22 of its 24 rated tasks; the first 6 are shown. In O*NET’s words.
- Observe operations to detect defects, malfunctions, or supply shortages.
- Operate machines for test runs to verify adjustments and to obtain product samples.
- Replace depleted supply packages with full packages.
- Start machines, monitor operation, and make adjustments as needed.
- Stop machines when specified amount of products has been produced.
- 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.
What the job is
Set up, operate, or tend machines that wind or twist textiles; or draw out and combine sliver, such as wool, hemp, or synthetic fibers. Includes slubber machine and drawing frame operators.
Also called: Winder Tender, Twister Operator, Coner, Beamer, Comber, Copper, Drawer, Hanker.
Source. This site includes information from the O*NET 30.1 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. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate