HUMANPLACE

Occupation

Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic

Set up, operate, or tend lathe and turning machines to turn, bore, thread, form, or face metal or plastic materials, such as wire, rod, or bar stock.

38 AI exposure
36 Human advantage
43 Market demand
37 AI leverage

Is Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic a safe career from AI?

Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic scores 38 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 36, which is low. Most of this role can be done through a screen, and that is the half of the labor market AI has reached first. Market demand scores 43 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment falling 11.3% over ten years.

What Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic pay

The median wage is $48,620 a year. The lower quarter earns under $41,180 and the upper quarter over $58,100. About 18,970 people do this work in the United States.

Where Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic can go next

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

Chemical Plant and System Operators 86% of the skills carry over $74k median
Cutting and Slicing Machine Setters, Operators, and Tenders 91% of the skills carry over $46k median
Wind Energy Operations Managers 80% of the skills carry over $137k median

Thinking about moving out of Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic?

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

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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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