Will AI replace Mobile Heavy Equipment Mechanics, Except Engines?
AI reaches little of this job’s work.
11/100
Low exposure
More exposed to AI than 22% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 19% of the work
What the job involves
Diagnose, adjust, repair, or overhaul mobile mechanical, hydraulic, and pneumatic equipment, such as cranes, bulldozers, graders, and conveyors, used in construction, logging, and mining.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(4)
- Read and understand operating manuals, blueprints, and technical drawings.
- Diagnose faults or malfunctions to determine required repairs, using engine diagnostic equipment such as computerized test equipment and calibration devices.
- Schedule maintenance for industrial machines and equipment, and keep equipment service records.
- Direct workers who are assembling or disassembling equipment or cleaning parts.
Out of reach(16)
- Repair and replace damaged or worn parts.
- Test mechanical products and equipment after repair or assembly to ensure proper performance and compliance with manufacturers' specifications.
- Operate and inspect machines or heavy equipment to diagnose defects.
- Adjust, maintain, and repair or replace subassemblies, such as transmissions and crawler heads, using hand tools, jacks, and cranes.
- Repair, rewire, and troubleshoot electrical systems.
and 11 more
Also called
Construction Equipment Mechanic · Equipment Mechanic · Heavy Equipment Mechanic · Crane Mechanic · Endless Track Vehicle Mechanic · Forklift Mechanic · Logging Equipment Mechanic · Truck Mechanic
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