HUMANPLACE

Occupation

Textile Cutting Machine Setters, Operators, and Tenders

Set up, operate, or tend machines that cut textiles.

39 AI exposure
40 Human advantage
39 Market demand
39 AI leverage

Is Textile Cutting Machine Setters, Operators, and Tenders a safe career from AI?

Textile Cutting Machine Setters, Operators, and Tenders scores 39 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 40. 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 39 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment falling 13.6% over ten years.

What Textile Cutting Machine Setters, Operators, and Tenders pay

The median wage is $37,940 a year. The lower quarter earns under $32,380 and the upper quarter over $43,710. About 8,960 people do this work in the United States.

Where Textile Cutting Machine Setters, Operators, and Tenders can go next

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

Machinists 85% of the skills carry over $56k median
Ship Engineers 73% of the skills carry over $101k median
Power Plant Operators 82% of the skills carry over $100k median

Thinking about moving out of Textile Cutting Machine Setters, Operators, and Tenders?

Answer three questions and see which jobs you could move into, what carries over from your own experience, and who is hiring.

Show me where to go

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.

Check a different job