Farming already uses satellite guidance, sensors and data on soil and weather. AI tools add forecasts, disease spotting and help with paperwork. But running a farm means daily decisions about land, animals, money and risk, made by the person who carries them.
The short answer: current evidence does not point to AI replacing farmers. The ILO's 2025 index rates crop, vegetable and livestock producers as not exposed to generative AI. The US Bureau of Labor Statistics projects a 3 percent decline for farmers, ranchers and other agricultural managers from 2025 to 2035, but explains it with consolidation into fewer, larger farms and slim margins on small farms, not AI. It still expects about 70,800 openings a year. Projections are estimates, not guarantees.
How exposed farmers are
The International Labour Organization scores occupations' tasks from 0 (cannot be automated with generative AI) to 1 (could be done without a human operator), and groups them into gradients from 1 to 4, with 4 the most exposed; below them sit minimal exposure and not exposed (ILO Working Paper 140, 2025).
| Occupation (ISCO-08) | ILO category | Mean task score (0 to 1) |
|---|---|---|
| Agricultural and Forestry Production Managers | Minimal exposure | 0.27 |
| Mixed Crop and Animal Producers | Not exposed | 0.19 |
| Field Crop and Vegetable Growers | Not exposed | 0.18 |
| Livestock and Dairy Producers | Not exposed | 0.17 |
The ILO index measures generative AI, not farm machinery or robots.
What the BLS projects
| Occupation | Projected change 2025 to 2035 | Openings a year |
|---|---|---|
| Farmers, ranchers and other agricultural managers | Decline 3% | About 70,800 |
The BLS says increased efficiencies in crop production have led to consolidation and fewer, but larger, farms, and that many small farms operate with slim profit margins.
Where AI is helping on farms
- Weather, yield and market forecasts.
- Spotting crop disease or animal health issues from images or sensors.
- Planning planting, irrigation and inputs.
- Records, applications and tax paperwork.
What stays with the farmer
- Decisions: weighing market conditions, disease, soil and available programs for crops or livestock.
- Running the operation: supervising planting, harvest and herding, and maintaining equipment.
- Buying and selling: choosing supplies and selling crops, livestock and dairy products.
- Checking: forecasts and AI advice can be confidently wrong, which NIST calls confabulation (NIST AI 600-1). See checking AI output.
How the job is changing
Farm work increasingly involves data and software alongside machinery and animals. Farmers who use these tools to manage risk and costs, and who check their output against what they see in the field, are better placed. This page describes the job market and is not financial advice.
See also will AI replace scientists?, will AI replace logistics jobs?, will AI replace truck drivers? and jobs safe from AI
Pay and how to get in
The US Bureau of Labor Statistics puts the median annual pay for farmers ranchers and other agricultural managers at $89,900 in May 2025, against $50,980 for all workers. The typical education needed to enter is: high school diploma or equivalent. See how this job compares in AI exposure by pay and AI exposure by education level.
Questions and answers
Will AI replace farmers?
Not on current evidence. The ILO rates crop and livestock producers not exposed to generative AI. The BLS projects a 3 percent decline to 2035, but links it to farm consolidation and margins.
Why is farmer employment projected to decline?
The BLS says efficiencies in crop production have led to fewer, larger farms, and many small farms have slim profit margins.
How is AI used in farming?
For forecasts, spotting crop and animal health issues, planning inputs and handling records and paperwork.
What farm work stays human?
Decisions about crops and livestock, running the operation, buying and selling, and checking AI advice against the field.