AI exposure by occupation, O*NET 49-3041.00

Will AI replace Farm Equipment Mechanics and Service Technicians?

Farm Equipment Mechanics and Service Technicians: AI can already handle 1 of 14 tasks; the work mostly needs an efficient-tier model.

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Every task, scored

The 14 tasks O*NET 30.3 lists for Farm Equipment Mechanics and Service Technicians, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Calculate bills according to record of repairs made, labor time, and parts used. 80 Estimated Frontier 4.0
Reassemble machines and equipment following repair, testing operation and making adjustments, as necessary. 20 Estimated Efficient 4.6
Maintain, repair, and overhaul farm machinery and vehicles, such as tractors, harvesters, and irrigation systems. 20 Estimated Efficient 4.5
Record details of repairs made and parts used. 20 Estimated Efficient 4.5
Dismantle defective machines for repair, using hand tools. 20 Estimated Efficient 4.5
Repair or replace defective parts, using hand tools, milling and woodworking machines, lathes, welding equipment, grinders, or saws. 20 Estimated Efficient 4.4
Drive trucks to haul tools and equipment for on-site repair of large machinery. 20 Estimated Efficient 4.0
Install and repair agricultural irrigation, plumbing, and sprinkler systems. 20 Estimated Efficient 3.5
Repair bent or torn sheet metal. 20 Estimated Efficient 3.2
Clean and lubricate parts. 15 Estimated No tier 4.5
Test and replace electrical components and wiring, using test meters, soldering equipment, and hand tools. 15 Estimated No tier 4.3
Tune or overhaul engines. 15 Estimated No tier 4.0
Fabricate new metal parts, using drill presses, engine lathes, and other machine tools. 15 Estimated No tier 3.6
Examine and listen to equipment, read inspection reports, and confer with customers to locate and diagnose malfunctions. 10 Estimated No tier 4.5

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 14 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 14 of 14. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

An efficient-tier model or lower covers 57% of the role's importance-weighted task work. 64% of the work is something AI can address at some tier, and 36% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
37,870
Median annual wage
$56,550
Middle half of earners
$46,450 to $65,580
Projected change, 2024 to 2034
+11.0%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Farm Equipment Mechanics and Service Technicians and AI

Will AI replace Farm Equipment Mechanics and Service Technicians?

AI already handles 1 of the 14 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 22 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +11.0% from 2024 to 2034.

What is the AI exposure of Farm Equipment Mechanics and Service Technicians?

22 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 14 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 14 are estimated from each task's O*NET work activity.

Which Farm Equipment Mechanics and Service Technicians tasks can AI already do?

The tasks with the highest exposure are: Calculate bills according to record of repairs made, labor time, and parts used. It is the only task that reach 60 or more.

What AI model tier does this role need?

An efficient-tier model or lower covers 57% of the role's importance-weighted task work, and 36% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Farm Equipment Mechanics and Service Technicians, and what do they earn?

37,870 people in the United States, with a median annual wage of $56,550 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +11.0% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Farm Equipment Mechanics and Service Technicians. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/farm-equipment-mechanics-and-service-technicians

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