Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Agricultural Managers:

56.0%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient agricultural management is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For agricultural managers, seven of eight sources had data, with Anthropic missing. AI exposure was split: Microsoft and OpenAI Signals rated human contribution as high, while our AI Resilience Model rated it low, keeping confidence at medium. Strong wage signals helped, but low adaptive capacity pulled the score down, landing this career at "Mostly Resilient."

AI Resilience Report forFarmers, Ranchers, and Other Agricultural Managers

$89,900 median salary70,800 annual openingsSOC 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 7 sources.

Farming and ranching earn a "Mostly Resilient" label because AI is stepping in as a helpful tool rather than a replacement for the real expertise farmers bring to the job. Tasks like soil analysis, tracking crop growth, and monitoring livestock are getting a serious upgrade from AI (think smarter sprayers and GPS cattle collars), but the judgment calls, like deciding when to breed animals, how to manage land through a tough season, or building relationships with neighbors and buyers, still need a human in charge.

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This role is mostly resilient

Farming and ranching earn a "Mostly Resilient" label because AI is stepping in as a helpful tool rather than a replacement for the real expertise farmers bring to the job. Tasks like soil analysis, tracking crop growth, and monitoring livestock are getting a serious upgrade from AI (think smarter sprayers and GPS cattle collars), but the judgment calls, like deciding when to breed animals, how to manage land through a tough season, or building relationships with neighbors and buyers, still need a human in charge.

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Analysis of Current AI Resilience

Agricultural Managers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Agricultural Managers jobs?

Good news first: AI in farming is mostly showing up as a helpful sidekick, not a replacement for the people who work the land. American Farm Bureau President Zippy Duvall notes [1] that farmers are seeing AI roll through fields and help make decisions in real time, and points to Florida researchers whose AI-powered sprayers can distinguish weeds from tomato plants in real time and reduce herbicide use by 70% while lowering expenses for growers. That maps directly to your role's data-heavy core tasks — soil analysis, recording growth and environmental data, and keeping farm records — where AI is already doing a lot of the boring parts.

In ranching, tools like Halter use GPS collars and an app to move cattle with sound cues; a Kansas rancher told Fortune [2] the tech freed up nearly six hours per day compared to riding fences manually. The World Economic Forum frames this [3] as revolutionizing how we farm the land we already have by fusing agronomic expertise with data and AI, which is augmentation — not replacement — of judgment calls like breeding decisions or supervising construction.

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AI Adoption

How fast is AI adoption growing for Agricultural Managers?

Adoption is happening fast where the payoff is obvious. A MorganMyers survey found [4] that 48% of farmers use AI weekly or more, 83% say AI has delivered value for their operation, and 63% of farm retailers describe AI as promising but unproven. But farmers are famously careful spenders: Progressive Farmer's 2026 subscriber survey shows [5] nearly half describe themselves as "fast followers" who wait for proven results, and 62% say return on investment is the most important factor.

Cost is real — Halter starts at $9.90 per cow per month [2], which adds up as some ranches house more than 1,000 cows — and rural broadband gaps slow things further. Still, chronic labor shortages and climate pressure are pushing adoption forward: Bank of America found [6] over half of the world's farmers have adopted, or were willing to adopt, precision agriculture or AI-enabled technology. The upshot for young people curious about this career: hands-on skills like animal husbandry, land stewardship, and knowing your neighbors still matter enormously — AI just gives you sharper tools to use them.

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Will AI replace Agricultural Managers?

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 a 56.0% AI Resilience Score, which puts this career in somewhat better shape than most. The tools showing up on farms right now are helpers, not replacements. AI-powered sprayers can tell weeds from tomato plants and cut herbicide use by 70% [1], and GPS collar systems like Halter have freed up nearly six hours a day for some ranchers compared to riding fences manually [2]. The World Economic Forum frames this as fusing agronomic expertise with data, not swapping out the farmer [3].

What stays human is the judgment layer: breeding decisions, reading the land, managing unpredictable weather, and knowing your community. Those things require experience and trust that no algorithm has yet. Adoption is real but uneven. Nearly half of farmers describe themselves as cautious "fast followers" who wait for proven results [5], and cost and rural broadband gaps slow things further.

The honest picture is a career that rewards people who learn to work alongside these tools. The farmers and ranchers who stay curious and build both land skills and data literacy will be the ones who thrive.

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Latest AI news for Agricultural Managers

These articles highlight the transformative role of AI in agriculture, emphasizing its potential to enhance productivity and decision-making for farmers and ranchers. For instance, the Business Insider piece discusses how freelancers are training AI on practical farming tasks, which can lead to more efficient animal husbandry practices. Meanwhile, the BBC article underscores how AI adoption is crucial for addressing global food needs. Embracing AI can empower agricultural managers to improve yields and sustainability, fostering resilience in their careers as technology continues to evolve.

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.

Employment & Wage Data

Median Wage

$89,900

Jobs (2025)

788,700

Growth (2025-35)

-3.4%

Annual Openings

70,800

Education

High school diploma or equivalent

Experience

5 years or more

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

90% ResilienceCore Task

Direct and monitor the transfer of mature fish to lakes, ponds, streams, or commercial tanks.

2

90% ResilienceCore Task

Supervise the construction of farm or ranch structures, such as buildings, fences, drainage systems, wells, or roads.

3

88% ResilienceCore Task

Manage nurseries that grow horticultural plants for sale to trade or retail customers, for display or exhibition, or for research.

4

88% ResilienceCore Task

Direct the breeding or raising of stock, such as cattle, poultry, or honeybees, using recognized breeding practices to ensure stock improvement.

5

86% ResilienceCore Task

Direct and monitor trapping and spawning of fish, egg incubation, and fry rearing, applying knowledge of management and fish culturing techniques.

6

85% ResilienceCore Task

Inspect facilities and equipment for signs of disrepair, and perform necessary maintenance work.

7

85% ResilienceSupplemental

Hire, supervise, and train support workers.

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.

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