Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Agricultural Managers:
57.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forFarmers, Ranchers, and Other Agricultural Managers
$87,980 median salary•85,500 annual openings•SOC Code: 11-9013.00
Farmers, Ranchers, and Other Agricultural Managers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Farming is labeled "Mostly Resilient" because while AI is taking over many routine monitoring tasks (like tracking irrigation or spotting weeds), the hands-on judgment, animal care, and physical problem-solving at the heart of this work still need a real human on the ground. Think of AI as a very smart assistant that helps farmers make better decisions, not a replacement for the farmer making the final call.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
Farming is labeled "Mostly Resilient" because while AI is taking over many routine monitoring tasks (like tracking irrigation or spotting weeds), the hands-on judgment, animal care, and physical problem-solving at the heart of this work still need a real human on the ground. Think of AI as a very smart assistant that helps farmers make better decisions, not a replacement for the farmer making the final call.
Read full analysisAnalysis of Current AI Resilience
Agricultural Managers
Updated Quarterly
How is AI changing Agricultural Managers jobs?
Good news first: AI in farming today is mostly used to help farmers, not replace them. The big idea is what some call "agricultural intelligence" — combining sensors, satellite data, and AI to make smarter decisions about planting, watering, and harvesting. The Syngenta CEO writing for the World Economic Forum describes this as making precision farming more precise, making digital agriculture more intelligent, and making plant breeding and molecule discovery dramatically faster, as explained at the World Economic Forum [1] [1].
Many monitoring tasks — like watching irrigation, spotting weeds, or applying fertilizer — are now done by software on a tractor or by drones. Inside Climate News reports [2] that a modern John Deere is essentially a "super-sophisticated, million-dollar computer on wheels" linked to satellites and machine learning, and that the global digital farming market was worth nearly $30 billion in 2025 and is projected to reach over $84 billion within eight years. The American Farm Bureau Federation just named FarmMind, an AI-powered "virtual agronomist" [3], its 2026 Innovation Challenge winner — a sign that managerial tasks like recordkeeping and supply purchasing are being augmented by chatbots, not just hardware.
New "physical AI" systems let one operator supervise several autonomous machines at once [4], according to executives from Agtonomy and Kubota writing in AgFunder News.
Sources
How fast is AI adoption growing for Agricultural Managers?
Adoption is speeding up because farmers are under real pressure. ASU News notes [5] that startups like Padma AgRobotics are building weeding, spraying, and harvesting robots specifically because rising labor costs are squeezing growers. The Farm Bureau winners point out [3] that the goal is making "advanced AI technologies and automation technologies accessible, useful, and easy to use" for everyday farmers.
But adoption is also slow in places. The World Economic Forum warns [1] of a growing digital divide: many farmers operate on thin margins, upfront costs are a big hurdle, and patchy rural broadband makes AI tools hard to use. There are social and ethical concerns, too.
Inside Climate News describes [2] a debate over whether Big Tech partnerships with Big Ag could shift decision-making away from individual farmers and toward corporate algorithms, and notes that environmental sustainability claims for precision ag are "not fully tested nor supported by evidence." So while autonomous tractors and AI advisors are spreading fast on large operations, the hands-on judgment, animal care, and structural repair work that family farms depend on still need humans. If you're curious about this career, learning data tools alongside traditional ag skills is a smart bet — the farmers thriving in 2026 are the ones who can do both.
Sources
Will AI replace Agricultural Managers?
No. We don't think AI will replace Farmers, Ranchers, and Other Agricultural Managers, though we do expect the job to change.
That view is backed by our 57.9% AI Resilience Score. What's shifting fast is the monitoring and data side of farming. Modern equipment is essentially a sophisticated computer linked to satellites and machine learning [2], and AI tools now handle irrigation tracking, weed detection, and fertilizer application that farmers once managed manually. One operator can even supervise several autonomous machines at once [4]. These are real changes, not distant predictions.
But the job isn't going away. Farming involves constant physical judgment, animal care, weather adaptation, and structural problem-solving that algorithms can't replicate on their own. The hands-on work that family farms depend on still needs humans. And while the global digital farming market is growing quickly [2], adoption is uneven. Many farmers face high upfront costs and unreliable rural broadband, which slows how fast these tools actually spread [1].
The smartest path forward is learning data tools alongside traditional agricultural skills. The farmers thriving right now are the ones who can do both, using AI as a better assistant rather than treating it as a threat.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Agricultural Managers
These articles highlight the transformative role of AI in agriculture, presenting opportunities for farmers and ranchers. For instance, John Deere’s AI innovations can enhance efficiency in farming operations, while Florida's push for a rural renaissance shows how tech integration can revitalize communities. Understanding potential job impacts, as discussed in the AgCareers article, prepares students to navigate a changing landscape. Embracing AI can lead to resilience and innovation in agricultural management, ensuring that future professionals thrive in an evolving industry.
Inside the OpenAI project where freelancers train ChatGPT on everything from farming to commercial flying
www.businessinsider.com • 3/31/2026
Handshake AI contractors from niche industries were directed to create tasks that reflect real work, like animal husbandry.
US Dept Of Ag Grants & Loans: Sustainable Funding
farmonaut.com • 10/27/2025
Explore how agriculture grants and dept of agriculture loans drive sustainable practices, rural innovation, and resilience for farmers.
AgCareers: Will AI Replace Jobs in the Agricultural Industry?
www.morningagclips.com • 5/22/2025
Some workers may feel threatened by AI, concerned they lack knowledge, can fall behind, or, in the worst-case scenario, lose their jobs.
John Deere transforms agriculture with AI
openai.com • 5/6/2025
We spoke with Justin Rose about AI transforming agriculture, its impact on traditional customer success teams, and insights from its AI deployment at John...
J. Scott Angle: The role of AI in Florida’s ‘rural renaissance’
floridapolitics.com • 2/19/2025
Florida is on its way to becoming the Silicon Valley of Agriculture.
More Career Info
Career: Farmers, Ranchers, and Other Agricultural Managers
They grow crops and raise animals by planning, planting, and taking care of farms or ranches to produce food and other products.
Parent Careers
Employment & Wage Data
Median Wage
$87,980
Jobs (2024)
836,100
Growth (2024-34)
-1.3%
Annual Openings
85,500
Education
High school diploma or equivalent
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Negotiate contracts such as those for land leases or tree purchases.
2
Grow fish and shellfish as cash crops or for release into freshwater or saltwater.
3
Monitor pasture or grazing land use to ensure that livestock are properly fed or that conservation methods, such as rotational grazing, are used.
4
Supervise and train aquaculture and fish hatchery support workers.
5
Operate and maintain cultivating and harvesting equipment.
6
Inspect farm or ranch structures, such as buildings, fences, or roads, ordering repair or maintenance activities, as needed.
7
Manage nurseries that grow horticultural plants for sale to trade or retail customers, for display or exhibition, or for research.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
