HUMANPLACE

Occupation

Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders

Set up, operate, or tend machines to crush, grind, or polish materials, such as coal, glass, grain, stone, food, or rubber.

39 AI exposure
53 Human advantage
52 Market demand
45 AI leverage

Is Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders a safe career from AI?

Crushing, Grinding, and Polishing 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 53. 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 52 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 Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders pay

The median wage is $46,890 a year. The lower quarter earns under $38,990 and the upper quarter over $58,440. About 28,550 people do this work in the United States.

Where Crushing, Grinding, and Polishing 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 83% of the skills carry over $98k median
Railroad Conductors and Yardmasters 84% of the skills carry over $74k median
Elevator and Escalator Installers and Repairers 70% of the skills carry over $107k median
Electrical Power-Line Installers and Repairers 72% of the skills carry over $93k median

Thinking about moving out of Crushing, Grinding, and Polishing 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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