HUMANPLACE

Occupation

Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders

Operate or tend heating equipment other than basic metal, plastic, or food processing equipment. Includes activities such as annealing glass, drying lumber, curing rubber, removing moisture from materials, or boiling soap.

41 AI exposure
46 Human advantage
54 Market demand
43 AI leverage

Is Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders a safe career from AI?

Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders scores 41 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 46. 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 54 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 Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders pay

The median wage is $47,010 a year. The lower quarter earns under $39,250 and the upper quarter over $57,840. About 16,160 people do this work in the United States.

Where Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders can go next

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

Locomotive Engineers 85% of the skills carry over $77k median
Tire Builders 87% of the skills carry over $56k median
Nuclear Technicians 76% of the skills carry over $104k median
Ship Engineers 73% of the skills carry over $101k median

Thinking about moving out of Furnace, Kiln, Oven, Drier, and Kettle 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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