Will AI replace Farm Equipment Mechanics and Service Technicians?
AI reaches little of this job’s work.
20/100
Low exposure
More exposed to AI than 35% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 22% of the work
What the job involves
Diagnose, adjust, repair, or overhaul farm machinery and vehicles, such as tractors, harvesters, dairy equipment, and irrigation systems.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Examine and listen to equipment, read inspection reports, and confer with customers to locate and diagnose malfunctions.
- Record details of repairs made and parts used.
- Calculate bills according to record of repairs made, labor time, and parts used.
Out of reach(11)
- Reassemble machines and equipment following repair, testing operation and making adjustments, as necessary.
- Maintain, repair, and overhaul farm machinery and vehicles, such as tractors, harvesters, and irrigation systems.
- Clean and lubricate parts.
- Dismantle defective machines for repair, using hand tools.
- Test and replace electrical components and wiring, using test meters, soldering equipment, and hand tools.
and 6 more
Also called
Farm Equipment Mechanic · Mechanic · Dairy Equipment Repairer · Milking System Installer · Sprinkler Irrigation Equipment Mechanic · Field Technician (Field Tech) · Tractor Mechanic · Combine Mechanic
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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