HUMANPLACE

Occupation

Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic

Set up, operate, or tend heating equipment, such as heat-treating furnaces, flame-hardening machines, induction machines, soaking pits, or vacuum equipment to temper, harden, anneal, or heat treat metal or plastic objects.

38 AI exposure
49 Human advantage
44 Market demand
43 AI leverage

Is Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic a safe career from AI?

Heat Treating Equipment 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 49. 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 9.5% over ten years.

What Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic pay

The median wage is $47,450 a year. The lower quarter earns under $39,900 and the upper quarter over $56,330. About 14,590 people do this work in the United States.

Where Heat Treating Equipment 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.

Petroleum Pump System Operators, Refinery Operators, and Gaugers 82% of the skills carry over $98k median
Chemical Equipment Operators and Tenders 85% of the skills carry over $57k median
Electrical Power-Line Installers and Repairers 69% of the skills carry over $93k median
Power Plant Operators 77% of the skills carry over $100k median

Thinking about moving out of Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic?

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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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