Will AI replace Farm Equipment Mechanics and Service Technicians?
Estimated risk score: 16 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 (0 to 35).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 49-3041.00 · 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: 2 of its 14 rated tasks. In O*NET’s words.
- Record details of repairs made and parts used.
- Calculate bills according to record of repairs made, labor time, and parts used.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 12 of its 14 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean and lubricate parts.
- Dismantle defective machines for repair, using hand tools.
- Drive trucks to haul tools and equipment for on-site repair of large machinery.
- Fabricate new metal parts, using drill presses, engine lathes, and other machine tools.
- Maintain, repair, and overhaul farm machinery and vehicles, such as tractors, harvesters, and irrigation systems.
- Reassemble machines and equipment following repair, testing operation and making adjustments, as necessary.
What the job is
Diagnose, adjust, repair, or overhaul farm machinery and vehicles, such as tractors, harvesters, dairy equipment, and irrigation systems.
Also called: Farm Equipment Mechanic, Ag Mechanic, Tractor Tech, Trailer Tech, Ag Service Tech, Combine Mechanic, Assembly Repairer, Dairy Service Tech.
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