Will AI replace Farmers, Ranchers, and Other Agricultural Managers?
Work in Farmers, Ranchers, and Other Agricultural Managers sits in the in-between: AI reaches some of it (~37% in theory) but is only measured doing about 0% today — part human, part machine.
O*NET-SOC 11-9013
How your 19 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~37%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~37%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 19 tasks, ratedBased on real task-level AI scores — click to collapse
- Prepare reports required by state and federal laws.
- Collect and record growth, production, and environmental data.
- Determine how to allocate resources and to respond to unanticipated problems, such as insect infestation, drought, and fire.
- Determine plant growing conditions, such as greenhouses, hydroponics, or natural settings, and set planting and care schedules.
- Devise and participate in activities to improve fish hatching and growth rates, and to prevent disease in hatcheries.
- Position and regulate plant irrigation systems, and program environmental and irrigation control computers.
- Maintain financial, operational, production, or employment records for farms or ranches.
- Coordinate clerical, record-keeping, inventory, requisitioning, and marketing activities.
- Negotiate with buyers for the sale, storage, or shipment of crops or livestock.
- Analyze soil to determine types or quantities of fertilizer required for maximum crop production.
- Provide information to customers on the care of trees, shrubs, flowers, plants, and lawns.
- Analyze market conditions to determine acreage allocations.
- Manage nurseries that grow horticultural plants for sale to trade or retail customers, for display or exhibition, or for research.
- Direct and monitor trapping and spawning of fish, egg incubation, and fry rearing, applying knowledge of management and fish culturing techniques.
- Direct and monitor the transfer of mature fish to lakes, ponds, streams, or commercial tanks.
- Inspect facilities and equipment for signs of disrepair, and perform necessary maintenance work.
- Direct the breeding or raising of stock, such as cattle, poultry, or honeybees, using recognized breeding practices to ensure stock improvement.
- Coordinate the selection and maintenance of brood stock.
- Supervise the construction of farm or ranch structures, such as buildings, fences, drainage systems, wells, or roads.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.