Will AI replace textile knitting and weaving machine setters, operators, and tenders?
Unlikely. Most of the work is hard for today's AI to speed up. Textile Knitting and Weaving Machine Setters, Operators, and Tenders score 16 out of 100 (low exposure), #681 of 923 US jobs. AI could speed up 4 of the job's 20 tasks, 3 of them on its own, while 16 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which textile knitting and weaving machine setters, operators, and tenders tasks can AI do?
The most exposed tasks include "Record information about work completed and machine settings"; "Program electronic equipment"; "Study guides, loom patterns, samples, charts, or specification sheets, or confer with supervisors or engineering staff to determine setup requirements".
Which textile knitting and weaving machine setters, operators, and tenders tasks are hardest for AI?
Tasks with little or no AI speed-up include "Remove defects in cloth by cutting and pulling out filling"; "Inspect products to ensure that specifications are met and to determine if machines need adjustment"; "Thread yarn, thread, and fabric through guides, needles, and rollers of machines for weaving, knitting, or other processing".
Are people already using AI for this work?
Yes. In April–May 2026, 1 of the 20 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as textile knitting and weaving machine setters, operators, and tenders, and what do they earn?
About 13,030 people in the US, with median pay of $39,530 a year (BLS, May 2025).