HUMANPLACE

Occupation

Paper Goods Machine Setters, Operators, and Tenders

Set up, operate, or tend paper goods machines that perform a variety of functions, such as converting, sawing, corrugating, banding, wrapping, boxing, stitching, forming, or sealing paper or paperboard sheets into products.

43 AI exposure
47 Human advantage
53 Market demand
45 AI leverage

Is Paper Goods Machine Setters, Operators, and Tenders a safe career from AI?

Paper Goods Machine Setters, Operators, and Tenders scores 43 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 47. 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 53 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment falling 3.6% over ten years.

What Paper Goods Machine Setters, Operators, and Tenders pay

The median wage is $49,390 a year. The lower quarter earns under $43,520 and the upper quarter over $59,220. About 96,950 people do this work in the United States.

Where Paper Goods 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 84% of the skills carry over $98k median
Stationary Engineers and Boiler Operators 84% of the skills carry over $75k median
Captains, Mates, and Pilots of Water Vessels 78% of the skills carry over $86k median
Wind Turbine Service Technicians 76% of the skills carry over $63k median

Thinking about moving out of Paper Goods 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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