Community Sentiment
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AI Automation Index
Will AI Replace Farm Equipment Mechanics and Service Technicians?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Farm Equipment Mechanics and Service Technicians. Run the upskilling simulator.
AI Vulnerability
54%
risk score
Median Salary
$56,550 / year
Growth Demand
Medium
Constituent Task Mix
We parsed O*NET's 14 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 14%
Medium Automation Risk (Cognitive/Technical) 79%
Low Automation Risk (Strategy/Leadership) 7%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Reassemble machines and equipment following repair, testing operation and making adjustments, as necessary.
Semi-structured task combining routine and non-routine responsibilities.
Maintain, repair, and overhaul farm machinery and vehicles, such as tractors, harvesters, and irrigation systems.
Semi-structured task combining routine and non-routine responsibilities.
Examine and listen to equipment, read inspection reports, and confer with customers to locate and diagnose malfunctions.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Record details of repairs made and parts used.
Routine cognitive or manual task with high vulnerability to automation.
Dismantle defective machines for repair, using hand tools.
Semi-structured task combining routine and non-routine responsibilities.
Clean and lubricate parts.
Semi-structured task combining routine and non-routine responsibilities.
Repair or replace defective parts, using hand tools, milling and woodworking machines, lathes, welding equipment, grinders, or saws.
Semi-structured task combining routine and non-routine responsibilities.
Test and replace electrical components and wiring, using test meters, soldering equipment, and hand tools.
Semi-structured task combining routine and non-routine responsibilities.
Tune or overhaul engines.
Semi-structured task combining routine and non-routine responsibilities.
Drive trucks to haul tools and equipment for on-site repair of large machinery.
Semi-structured task combining routine and non-routine responsibilities.
Fabricate new metal parts, using drill presses, engine lathes, and other machine tools.
Semi-structured task combining routine and non-routine responsibilities.
Repair bent or torn sheet metal.
Semi-structured task combining routine and non-routine responsibilities.
Calculate bills according to record of repairs made, labor time, and parts used.
Routine cognitive or manual task with high vulnerability to automation.
Install and repair agricultural irrigation, plumbing, and sprinkler systems.
Semi-structured task combining routine and non-routine responsibilities.
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<script src="https://giniloh.com/embed.js" async></script> O*NET Methodology
O*NET Data Source
This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.
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