HUMANPLACE

Occupation

Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders

Set up, operate, or tend machines, such as glass-forming machines, plodder machines, and tuber machines, to shape and form products such as glassware, food, rubber, soap, brick, tile, clay, wax, tobacco, or cosmetics.

39 AI exposure
47 Human advantage
56 Market demand
43 AI leverage

Is Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders a safe career from AI?

Extruding, Forming, Pressing, and Compacting 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 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 56 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment roughly flat over ten years.

What Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders pay

The median wage is $45,130 a year. The lower quarter earns under $38,410 and the upper quarter over $51,970. About 57,310 people do this work in the United States.

Where Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders can go next

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

Biomass Plant Technicians 85% of the skills carry over $100k median
Biofuels Processing Technicians 87% of the skills carry over $62k median
Nuclear Technicians 75% of the skills carry over $104k median

Thinking about moving out of Extruding, Forming, Pressing, and Compacting 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