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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 Farmworkers and Laborers, Crop, Nursery, and Greenhouse: 27 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
27 of 27 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
265,500 people hold this job — size, not growth
Projected 2025–35
72,500 openings a year · BLS line item
BLS OEWS publishes 51 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$21,960 – $55,180
Highest medians
Lowest medians
State figures come from the 45-2092 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.
27 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
3 tasks
5 tasks
19 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 →Record information about crops, such as pesticide use, yields, or costs.
data analysis — Maintain operational records in structured systems
Direct and monitor the work of casual and seasonal help during planting and harvesting.
interpersonal — Directing field employees is on-site human supervision
Participate in the inspection, grading, sorting, storage, and post-harvest treatment of crops.
physical manipulation — Agricultural material sorting is hands-on field work
Harvest plants, and transplant or pot and label them.
physical manipulation — Marking forestry products is manual field work
Repair and maintain farm vehicles, implements, and mechanical equipment.
physical manipulation — Hands-on repair of field equipment in unstructured settings
Harvest fruits and vegetables by hand.
physical manipulation — Harvesting requires dexterous field manipulation
Set up and operate irrigation equipment.
physical manipulation — Irrigation system operation involves field hardware
Inform farmers or farm managers of crop progress.
interpersonal — Live managerial conferral; AI can draft but not decide
Identify plants, pests, and weeds to determine the selection and application of pesticides and fertilizers.
physical manipulation — Examining live organisms needs hands-on lab work
Operate tractors, tractor-drawn machinery, and self-propelled machinery to plow, harrow and fertilize soil, or to plant, cultivate, spray and harvest crops.
situated mobility — Farming equipment operation in unstructured fields
Load agricultural products into trucks, and drive trucks to market or storage facilities.
physical manipulation — Manual loading of agricultural products
Clean work areas, and maintain grounds and landscaping.
physical manipulation — Equipment and facility cleaning is hands-on
Sell and deliver plants and flowers to customers.
interpersonal — Relationship-driven sales of physical agricultural products
Regulate greenhouse conditions, and indoor and outdoor irrigation systems.
physical manipulation — Irrigation system operation involves field hardware
Feel plants' leaves and note their coloring to detect the presence of insects or disease.
visual inspection — Crop quality needs physical inspection and sensory judgment
Provide information and advice to the public regarding the selection, purchase, and care of products.
decision support — General guidance good; site-specific judgment needs human
Maintain and repair irrigation and climate control systems.
physical manipulation — Irrigation system operation involves field hardware
Dig, cut, and transplant seedlings, cuttings, trees, and shrubs.
physical manipulation — Chainsaw work in unpredictable forest terrain
Record information about plants and plant growth.
data analysis — Maintain operational records in structured systems
Maintain inventory, ordering materials as required.
data analysis — Materials inventory records and forecasting automatable
Dig, rake, and screen soil, filling cold frames and hot beds in preparation for planting.
physical manipulation — Land preparation requires heavy physical work
Inspect plants and bud ties to assess quality.
visual inspection — Crop quality needs physical inspection and sensory judgment
Move containerized shrubs, plants, and trees, using wheelbarrows or tractors.
physical manipulation — Physical transport of animals, crops, equipment
Tie and bunch flowers, plants, shrubs, and trees, wrap their roots, and pack them into boxes to fill orders.
physical manipulation — Packaging agricultural products is manual handling
Haul and spread topsoil, fertilizer, peat moss, and other materials to condition soil, using wheelbarrows or carts and shovels.
physical manipulation — Land preparation requires heavy physical work
Repair farm buildings, fences, and other structures.
physical manipulation — Agricultural building is hands-on outdoor construction
Plant, spray, weed, fertilize, water, and prune plants, shrubs, and trees, using gardening tools.
physical manipulation — Manual agricultural labor in unstructured fields
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<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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