HUMANPLACE

Occupation

Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders

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.

30 AI exposure
43 Human advantage
44 Market demand
36 AI leverage

Is Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders a safe career from AI?

Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders scores 30 out of 100 for AI exposure, which is low. Most of what this job involves is not the kind of task current AI systems are good at, largely because it happens in a physical place rather than on a screen.

Its human advantage score is 43. There is a real physical and in-person component to this work, alongside a good deal that could be done from anywhere. Market demand scores 44 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment falling 10.3% over ten years.

What Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders pay

The median wage is $37,660 a year. The lower quarter earns under $35,270 and the upper quarter over $40,970. About 20,600 people do this work in the United States.

Where Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders can go next

Occupations that share most of what this job already requires, ranked by how much carries over.

Petroleum Pump System Operators, Refinery Operators, and Gaugers 82% of the skills carry over $98k median
Tire Builders 81% of the skills carry over $56k median
Power Plant Operators 73% of the skills carry over $100k median
Electrical Power-Line Installers and Repairers 67% of the skills carry over $93k median

Thinking about moving out of Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders?

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Where this comes from

Work content and transitions from O*NET, the US Department of Labor's occupational database. Wages and employment projections from the Bureau of Labor Statistics. AI exposure from published research measuring which occupations current AI capabilities overlap with. None of it is a forecast, and none of these numbers are ours: they are public data, put next to each other.

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