HUMANPLACE

Occupation

Construction Laborers

Perform tasks involving physical labor at construction sites. May operate hand and power tools of all types: air hammers, earth tampers, cement mixers, small mechanical hoists, surveying and measuring equipment, and a variety of other equipment and instruments. May clean and prepare sites, dig trenches, set braces to support the sides of excavations, erect scaffolding, and clean up rubble, debris, and other waste materials. May assist other craft workers.

25 AI exposure
59 Human advantage
68 Market demand
40 AI leverage

Is Construction Laborers a safe career from AI?

Construction Laborers scores 25 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 68 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment growing 7.3% over ten years.

What Construction Laborers pay

The median wage is $46,730 a year. The lower quarter earns under $38,100 and the upper quarter over $58,910. About 1,057,660 people do this work in the United States.

Where Construction Laborers can go next

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

Crane and Tower Operators 85% of the skills carry over $66k median
Derrick Operators, Oil and Gas 84% of the skills carry over $63k median
Wind Turbine Service Technicians 75% of the skills carry over $63k median
Electricians 83% of the skills carry over $62k median

Thinking about moving out of Construction Laborers?

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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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