Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Agricultural Workers:
55.3%
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.
High
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%).
Low
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
AI Resilience Report forAgricultural Workers, All Other
$40,390 median salary•1,500 annual openings•SOC Code: 45-2099.00
Agricultural Workers, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 4 sources.
Agricultural work earns a "Mostly Resilient" label because the physical, hands-on nature of farming (especially with delicate crops like strawberries, apples, and grapes) is genuinely hard for robots to master, and automation is still expensive and imperfect enough that human workers remain essential. AI is stepping in more as a helper than a replacement, powering tools like virtual agronomist assistants and precision sensors that support farmers' decisions rather than cutting people out of the picture.
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This role is mostly resilient
Agricultural work earns a "Mostly Resilient" label because the physical, hands-on nature of farming (especially with delicate crops like strawberries, apples, and grapes) is genuinely hard for robots to master, and automation is still expensive and imperfect enough that human workers remain essential. AI is stepping in more as a helper than a replacement, powering tools like virtual agronomist assistants and precision sensors that support farmers' decisions rather than cutting people out of the picture.
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Analysis of Current AI Resilience
Agricultural Workers
Updated Quarterly

How is AI changing Agricultural Workers jobs?
If you're a young person thinking about farm work, here's the honest picture: AI and robots are starting to help with farm jobs, but they're not replacing people overnight. Researchers at Washington State University have created a soft, inflatable robot arm to pick apples, and developed a system that uses AI vision to locate strawberries hidden under leaves and guide puffs of air to clear a path for the picker. While harvesting robots still have a ways to go before they are ready for routine use, the systems are being refined.
Automation is already widespread in field crops like wheat and grain, with GPS-guided tractors that till and harvest with little human interaction, but orchards growing apples, cherries, and grapes still have year-round labor demands. On the augmentation side, the American Farm Bureau Federation just named an AI startup called FarmMind [1] its 2026 Ag Innovation Challenge winner — the first to bring AI to the fields, building a "virtual agronomist" assistant on an all-in-one agricultural management platform. The World Economic Forum similarly highlights [2] AI-driven "agricultural intelligence" as a way to support — not erase — human decision-making on farms.
Sources

How fast is AI adoption growing for Agricultural Workers?
Adoption is being pushed forward fast by a serious worker shortage. Southern Ag Today reports [3] that foreign workers represent around two-thirds of farm labor, undocumented workers make up about 40% of hired crop laborers, and specialty crops in the Southeast and West Coast remain heavily reliant on this workforce even as immigration enforcement tightens. That economic pressure makes AI attractive: a farmdoc daily analysis from the University of Illinois [4] explains that once installed, digital systems and automated machinery can operate with lower, more predictable costs than human labor, but rather than simply eliminating workers, precision agriculture shifts demand from manual tasks toward technical and analytical work managing sensors, robots, and data platforms.
Adoption can still be slow, though, because robots struggle with delicate crops and weather, and the upfront costs are high. As Farm Progress notes [5], AI is increasingly framed as a "fourth agricultural revolution" that works alongside farmers. The hopeful takeaway: human skills like judgment, hands-on problem-solving with living plants and animals, and operating and repairing new tech remain genuinely valuable — and new careers in ag-tech are opening up right next to the traditional ones.
Sources

Will AI replace Agricultural Workers?
No. We don't think AI will replace Agricultural Workers, All Other, though we do expect the job to change.
Our 55.3% AI Resilience Score reflects a career that is holding up reasonably well, even as technology moves fast. Robots are being developed to pick apples and locate strawberries hidden under leaves, and GPS-guided tractors already handle much of the field crop work with minimal human input. But harvesting robots still struggle with delicate crops and unpredictable weather, and the upfront costs remain high. Orchards and specialty crops still depend heavily on human hands and judgment.
The bigger shift is toward augmentation. AI tools like FarmMind's "virtual agronomist" platform are being built to support farmers, not erase them [1]. Precision agriculture is moving demand away from purely manual tasks and toward operating sensors, managing data, and maintaining new machinery [4]. That means the job evolves more than it disappears.
The honest concern is on the demand side. A serious labor shortage is accelerating automation investment [3], and long-term job openings in this category are not strong. Still, the work itself, reading living plants, solving problems in the field, and adapting to conditions no algorithm fully predicts, stays genuinely human for now. Leaning into the technical side of modern farming is the smartest move for anyone entering this field.
Sources

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Latest AI news for Agricultural Workers
These articles highlight the transformative potential of AI in agriculture, emphasizing resilience and sustainability for "Agricultural Workers, All Other" careers. For instance, the OECD article discusses how AI can enhance food security and address challenges faced by workers. Meanwhile, insights from NC State University illustrate practical applications of AI that can streamline tasks and improve efficiency for producers. As labor costs rise, MIT’s coverage shows AI's role in farming, suggesting that embracing these technologies can lead to new opportunities and a more secure future in agriculture.

AI for inclusive and resilient agri-food systems: Potential ways forward
oecd.ai • 6/6/2026
AI can strengthen food security, resilience and sustainability in agriculture. Explore key challenges and opportunities for agri-food...

Every automation wave in history created more jobs than it destroyed. Will AI be different?
qz.com • 4/20/2026
The pattern has held for mechanized farms, electrified factories, and computerized offices. AI tests its core assumption in new ways.

As labor costs rise, AI is learning to farm
climate.mit.edu • 6/11/2025
This story by MIT Environmental Solutions Journalism Fellow Karina Atkins was originally published in the Chicago Tribune, where it appears...

Is Artificial Intelligence the future of farming? Exploring opportunities and challenges in Sub-Saharan Africa
blogs.worldbank.org • 3/12/2025
AI now plays a crucial role in addressing the region's most pressing challenges: food insecurity, environmental degradation, and economic inequality.

N.C. PSI Advances AI for Agriculture
cals.ncsu.edu • 6/13/2024
At NC State University, the N.C. Plant Sciences Initiative is leading efforts aimed at helping producers put artificial intelligence to work...
More Career Info
Career: Agricultural Workers, All Other
They support farming tasks by planting, harvesting, and maintaining various crops or livestock, ensuring healthy growth and production.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$40,390
Jobs (2024)
10,100
Growth (2024-34)
+2.3%
Annual Openings
1,500
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
