HUMANPLACE

Occupation

Operating Engineers and Other Construction Equipment Operators

Operate one or several types of power construction equipment, such as motor graders, bulldozers, scrapers, compressors, pumps, derricks, shovels, tractors, or front-end loaders to excavate, move, and grade earth, erect structures, or pour concrete or other hard surface pavement. May repair and maintain equipment in addition to other duties.

43 AI exposure
59 Human advantage
64 Market demand
50 AI leverage

Is Operating Engineers and Other Construction Equipment Operators a safe career from AI?

Operating Engineers and Other Construction Equipment Operators 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 59. 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 64 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 Operating Engineers and Other Construction Equipment Operators pay

The median wage is $58,710 a year. The lower quarter earns under $47,780 and the upper quarter over $75,750. About 469,270 people do this work in the United States.

Where Operating Engineers and Other Construction Equipment Operators can go next

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

Commercial Pilots 84% of the skills carry over $123k median
Ship Engineers 87% of the skills carry over $101k median
Electrical Power-Line Installers and Repairers 79% of the skills carry over $93k median
Wind Turbine Service Technicians 79% of the skills carry over $63k median

Thinking about moving out of Operating Engineers and Other Construction Equipment Operators?

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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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