Community Sentiment
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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Task-level automation exposure for Farm Equipment Mechanics and Service Technicians: 14 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
14 of 14 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
37,870 people hold this job — size, not growth
Projected 2025–35
3,700 openings a year · BLS line item
BLS OEWS publishes 47 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$46,240 – $65,250
Highest medians
Lowest medians
State figures come from the 49-3041 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
14 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
2 tasks
1 tasks
11 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Reassemble machines and equipment following repair, testing operation and making adjustments, as necessary.
physical manipulation — Hands-on mechanical testing in physical environment
Maintain, repair, and overhaul farm machinery and vehicles, such as tractors, harvesters, and irrigation systems.
physical manipulation — Hands-on engine teardown and repair
Examine and listen to equipment, read inspection reports, and confer with customers to locate and diagnose malfunctions.
decision support — Diagnosis from description aided, repair judgment human
Record details of repairs made and parts used.
text generation — Log maintenance and repair records from data
Dismantle defective machines for repair, using hand tools.
physical manipulation — Disassembly requires hands-on tool use
Clean and lubricate parts.
physical manipulation — Physical lubrication task requiring hands and access
Repair or replace defective parts, using hand tools, milling and woodworking machines, lathes, welding equipment, grinders, or saws.
physical manipulation — Manual replacement of mechanical parts
Test and replace electrical components and wiring, using test meters, soldering equipment, and hand tools.
physical manipulation — Electrical probing and meter work by hand
Tune or overhaul engines.
physical manipulation — Hands-on vehicle component adjustment
Drive trucks to haul tools and equipment for on-site repair of large machinery.
physical manipulation — Operating heavy equipment by hand in field
Fabricate new metal parts, using drill presses, engine lathes, and other machine tools.
physical manipulation — Part fabrication requires physical machining and handling
Repair bent or torn sheet metal.
physical manipulation — Structural repair is hands-on physical work
Calculate bills according to record of repairs made, labor time, and parts used.
data analysis — Cost calculation from structured inputs
Install and repair agricultural irrigation, plumbing, and sprinkler systems.
physical manipulation — Pipe leak repair requires hands-on manipulation
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<div class="giniloh-calculator-embed" data-calculator="farm-equipment-mechanics-and-service-technicians"></div>
<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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