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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
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
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 while automation is advancing — think GPS-guided tractors and harvesting robots — the technology still struggles with delicate crops, unpredictable weather, and the hands-on judgment that experienced farm workers bring every day. Robots can't yet reliably pick strawberries hidden under leaves or navigate the year-round demands of orchards the way a skilled human can, which means real people are still very much needed in the fields.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Agricultural work earns a "Mostly Resilient" label because while automation is advancing — think GPS-guided tractors and harvesting robots — the technology still struggles with delicate crops, unpredictable weather, and the hands-on judgment that experienced farm workers bring every day. Robots can't yet reliably pick strawberries hidden under leaves or navigate the year-round demands of orchards the way a skilled human can, which means real people are still very much needed in the fields.
Read full analysisAnalysis of Current AI Resilience
Agricultural Workers
Updated Quarterly • Last Update: 5/14/2026

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.

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.

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They support farming tasks by planting, harvesting, and maintaining various crops or livestock, ensuring healthy growth and production.
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

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