Will AI replace Mobile Heavy Equipment Mechanics, Except Engines?
Estimated risk score: 23 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (4 to 42).
For the occupation as a whole, from ratings of its 20 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 49-3042.00 · Installation, Maintenance, and Repair
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 20 rated tasks. In O*NET’s words.
- Schedule maintenance for industrial machines and equipment, and keep equipment service records.
- Read and understand operating manuals, blueprints, and technical drawings.
- Research, order, and maintain parts inventory for services and repairs.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 17 of its 20 rated tasks; the first 6 are shown. In O*NET’s words.
- Adjust and maintain industrial machinery, using control and regulating devices.
- Adjust, maintain, and repair or replace subassemblies, such as transmissions and crawler heads, using hand tools, jacks, and cranes.
- Assemble gear systems, and align frames and gears.
- Clean parts by spraying them with grease solvent or immersing them in tanks of solvent.
- Clean, lubricate, and perform other routine maintenance work on equipment and vehicles.
- Dismantle and reassemble heavy equipment using hoists and hand tools.
What the job is
Diagnose, adjust, repair, or overhaul mobile mechanical, hydraulic, and pneumatic equipment, such as cranes, bulldozers, graders, and conveyors, used in construction, logging, and mining.
Also called: Heavy Equipment Technician, Trucksmith, Brake Mechanic, Crane Mechanic, Hoist Mechanic, Hydraulic Tech, Dinkey Mechanic, Dredge Mechanic.
Related jobs, estimated
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate