AI Automation Index

Will AI Replace Agricultural Equipment Operators?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Agricultural Equipment Operators. Run the upskilling simulator.

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• Developed & audited by Gini Loh

AI Vulnerability

38% risk score

Median Salary

$41,730 / year

Growth Demand

Medium

Constituent Task Mix

We parsed O*NET's 17 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 6%
Medium Automation Risk (Cognitive/Technical) 65%
Low Automation Risk (Strategy/Leadership) 29%

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constituent Tasks

Load and unload crops or containers of materials, manually or using conveyors, handtrucks, forklifts, or transfer augers.

Semi-structured task combining routine and non-routine responsibilities.

Mix specified materials or chemicals, and dump solutions, powders, or seeds into planter or sprayer machinery.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Spray fertilizer or pesticide solutions to control insects, fungus and weed growth, and diseases, using hand sprayers.

Semi-structured task combining routine and non-routine responsibilities.

Observe and listen to machinery operation to detect equipment malfunctions.

Semi-structured task combining routine and non-routine responsibilities.

Manipulate controls to set, activate, and adjust mechanisms on machinery.

Semi-structured task combining routine and non-routine responsibilities.

Operate or tend equipment used in agricultural production, such as tractors, combines, and irrigation equipment.

Semi-structured task combining routine and non-routine responsibilities.

Adjust, repair, and service farm machinery and notify supervisors when machinery malfunctions.

Semi-structured task combining routine and non-routine responsibilities.

Attach farm implements such as plows, discs, sprayers, or harvesters to tractors, using bolts and hand tools.

Semi-structured task combining routine and non-routine responsibilities.

Load hoppers, containers, or conveyors to feed machines with products, using forklifts, transfer augers, suction gates, shovels, or pitchforks.

Semi-structured task combining routine and non-routine responsibilities.

Direct and monitor the activities of work crews engaged in planting, weeding, or harvesting activities.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Operate towed machines such as seed drills or manure spreaders to plant, fertilize, dust, and spray crops.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Weigh crop-filled containers, and record weights and other identifying information.

Routine cognitive or manual task with high vulnerability to automation.

Walk beside or ride on planting machines while inserting plants in planter mechanisms at specified intervals.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Drive trucks to haul crops, supplies, tools, or farm workers.

Semi-structured task combining routine and non-routine responsibilities.

Guide products on conveyors to regulate flow through machines, and to discard diseased or rotten products.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Position boxes or attach bags at discharge ends of machinery to catch products, removing and closing full containers.

Semi-structured task combining routine and non-routine responsibilities.

Irrigate soil, using portable pipes or ditch systems, and maintain ditches or pipes and pumps.

Semi-structured task combining routine and non-routine responsibilities.

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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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