Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Farming Supervisors:
61.8%
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%).
High
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forFirst-Line Supervisors of Farming, Fishing, and Forestry Workers
$59,330 median salary•8,500 annual openings•SOC Code: 45-1011.00
First-Line Supervisors of Farming, Fishing, and Forestry Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career holds up well against AI disruption because the core work relies on human judgment, people management, and hands-on field experience that software simply cannot replicate. AI is stepping in as a helpful assistant, taking over repetitive data tasks like scheduling sprays or sorting reports, but supervisors are still the ones making the real calls out in the field.
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This career holds up well against AI disruption because the core work relies on human judgment, people management, and hands-on field experience that software simply cannot replicate. AI is stepping in as a helpful assistant, taking over repetitive data tasks like scheduling sprays or sorting reports, but supervisors are still the ones making the real calls out in the field.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Farming Supervisors
Updated Quarterly
How is AI changing Farming Supervisors jobs?
Right now, AI is mostly augmenting First-Line Supervisors of Farming, Fishing, and Forestry Workers rather than replacing them. According to the CEO of Syngenta writing for the World Economic Forum, AI is the next major disruption in agriculture, but it needs to be combined with data and agricultural expertise to become truly useful — making precision farming more precise and digital agriculture more intelligent [1]. On real farms, the message is similar: physical AI creates a human-led, AI-assisted workforce that helps make operations economical again, and lets a single operator oversee multiple machines, according to industry leaders at Agtonomy and Kubota writing in AgFunderNews [2].
Trade publication Drovers (a Farm Journal title) notes that agriculture is facing a historic labor shortage at the same time AI is reshaping how the world operates, and some see AI as the "digital farmhand" agriculture needs to handle repetitive data tasks while humans focus on high-value animal husbandry or field work. So tasks like inspecting crops, scheduling sprays, sorting fish, or filling out reports are increasingly software-assisted — but supervisors still make the calls.
Sources
How fast is AI adoption growing for Farming Supervisors?
Adoption is speeding up because the labor crunch is severe. The American Farm Bureau Federation reports [3] that when farm jobs are posted, less than 1% are ever filled by a domestic applicant, and even fewer stay through the season, which pushes operators toward automation. Government policy is helping too: a Fortune analysis of the 2026 Farm Bill [4] explains that farmers who adopt precision agriculture as part of conservation practices will be reimbursed for 90% of the cost — well above the normal EQIP cap of 75%.
But adoption is slower than the hype suggests. A blog from the Environmental Policy Innovation Center on the Society of American Foresters conference [5] found that forest managers keep saying tools they bought are "underutilized" — the bottleneck isn't the technology, it's workforce capability. And as Euronews reported on Anthropic's 2026 labor study [6], hands-on outdoor supervisory work is among the least exposed to AI.
The takeaway for young people: the human judgment, people-management, and field experience supervisors bring are still in high demand — AI is more likely to be your assistant than your replacement.
Sources
Will AI replace Farming Supervisors?
No. We don't think AI will replace First-Line Supervisors of Farming, Fishing, and Forestry Workers, though we do expect the job to change.
That view is backed by a 61.8% AI Resilience Score for this role. Right now, AI is mostly acting as an assistant on the farm, in the forest, and on the water. Industry leaders describe a human-led, AI-assisted workforce where a single operator can oversee multiple machines, making operations more economical rather than eliminating the people in charge [2]. Precision agriculture tools are getting smarter, but they still need to be combined with real agricultural expertise to be useful [1]. Supervisors are the ones who supply that expertise.
What stays human is the judgment call: reading weather, managing crews, responding to unexpected problems in the field. Hands-on outdoor supervisory work is also among the least exposed to AI according to recent labor research [6]. Meanwhile, a severe labor shortage is pushing farms toward automation faster, but the bottleneck holding technology back is workforce capability, not the tools themselves [5]. That means experienced supervisors who can bridge field knowledge and new technology will be more valuable, not less. The job shifts, but it does not disappear.
Sources
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Latest AI news for Farming Supervisors
These articles highlight how AI is reshaping the role of First-Line Supervisors in farming, fishing, and forestry. For instance, advanced monitoring technologies and predictive analytics can enhance resource management and productivity, making supervisors more effective. However, with an AI replacement risk score of 54/100, it's crucial for students to develop skills that complement AI tools, ensuring they remain valuable in a changing job landscape. By understanding the benefits and challenges of AI, future supervisors can build resilience and adapt to innovations in their field.
Will AI Replace First-Line Supervisors of Farming, Fishing ...
www.aiexposure.org • 6/20/2026
First -Line Supervisors of Farming, Fishing, and Forestry Workers have an AI automation risk score of 54/100. Learn about risk factors, safe tasks, ...
Up to 30% of Forestry Jobs Could Be Affected by AI and ...
www.reddit.com • 6/20/2026
Up to 30% of Forestry Jobs Could Be Affected by AI and Automation ... Global forest managers must work with governments and academic institutions ... Read more
How Agriculture, Forestry and Fishing Can Reap from AI
numalis.com • 6/20/2026
This article discusses how AI impacts agricultural productivity, forestry, and fishing. We also uncover the benefits and challenges of using AI in these areas. Read more
Will AI Replace Agriculture & Forestry Jobs? 2026 Risk Analysis
www.replacedbai.com • 6/20/2026
Based on our analysis of 14 occupations, the average AI replacement risk in agriculture & forestry is 61/100. 6 jobs face high risk, while 3 jobs have low risk. Read more
First-Line Supervisors of Farming, Fishing, and Forestry Workers | AI ...
aiworkforcereport.com • 6/20/2026
AI Impact Explanation: AI will significantly transform this role through advanced monitoring technologies, predictive analytics for crop/resource management, ...
More Career Info
Career: First-Line Supervisors of Farming, Fishing, and Forestry Workers
They oversee workers in farming, fishing, and forestry, making sure tasks are done safely and efficiently while managing schedules and equipment.
Parent Careers
Employment & Wage Data
Median Wage
$59,330
Jobs (2024)
65,400
Growth (2024-34)
+2.5%
Annual Openings
8,500
Education
High school diploma or equivalent
Experience
Less than 5 years
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
Recruit, hire, and pay workers.
2
Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters.
3
Prepare reports concerning facility activities, employees' time records, and animal treatment.
4
Train workers in spawning, rearing, cultivating, and harvesting methods, and in the use of equipment.
5
Issue equipment, such as farm implements, machinery, ladders, or containers to workers, and collect equipment when work is complete.
6
Investigate complaints of animal neglect or cruelty, and follow up on complaints appearing to require prosecution.
7
Assign to workers duties such as trees to be cut, cutting sequences and specifications, or loading of trucks, railcars, or rafts.
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.
