Will AI replace Operating Engineers and Other Construction Equipment Operators?
AI reaches little of this job’s work.
8/100
Low exposure
More exposed to AI than 17% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 16% of the work
What the job involves
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.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(4)
- Monitor operations to ensure that health and safety standards are met.
- Keep records of material or equipment usage or problems encountered.
- Signal operators to guide movement of tractor-drawn machines.
- Check fuel supplies at sites to ensure adequate availability.
Out of reach(22)
- Learn and follow safety regulations.
- Start engines, move throttles, switches, or levers, or depress pedals to operate machines, such as bulldozers, trench excavators, road graders, or backhoes.
- Drive and maneuver equipment equipped with blades in successive passes over working areas to remove topsoil, vegetation, or rocks or to distribute and level earth or terrain.
- Take actions to avoid potential hazards or obstructions, such as utility lines, other equipment, other workers, or falling objects.
- Load and move dirt, rocks, equipment, or other materials, using trucks, crawler tractors, power cranes, shovels, graders, or related equipment.
and 17 more
Also called
Motor Grader Operator · Scraper Operator · Equipment Operator (EO) · Heavy Equipment Operator (HEO) · Operating Engineer · Ditcher Operator · Elevating Grader Operator · EO
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics