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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%).
N/A
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
Fishing and Hunting Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 3 sources.
Fishing and hunting work earns a "Mostly Resilient" label because the heart of the job — navigating rough weather, setting traps, handling animals, and making split-second judgment calls in the field — is physical, unpredictable, and genuinely hard for AI to replicate. AI tools like video-reviewing software and species-identification cameras are starting to take over the more repetitive, paperwork-style tasks, but they're designed to assist human workers, not replace them.
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
Fishing and hunting work earns a "Mostly Resilient" label because the heart of the job — navigating rough weather, setting traps, handling animals, and making split-second judgment calls in the field — is physical, unpredictable, and genuinely hard for AI to replicate. AI tools like video-reviewing software and species-identification cameras are starting to take over the more repetitive, paperwork-style tasks, but they're designed to assist human workers, not replace them.
Read full analysisAnalysis of Current AI Resilience
Fishing & Hunting Workers
Updated Quarterly • Last Update: 5/14/2026

Right now, AI in fishing and hunting is mostly augmenting (helping) workers, not replacing them. The biggest impact is on the paperwork-style parts of the job — like counting fish and reviewing video — while the hands-on outdoor work still belongs to humans. NOAA's Technology Partnerships Office reports that an AI tool called Catchvision reviews electronic monitoring video and "saves up to 80% of the time spent reviewing EM footage" [1], but it "does not replace human oversight." Trade publication National Fisherman describes a Canadian startup, OnDeck AI, working with halibut and blackcod longliners on Vision Language Models that "learn to reason, almost like a human" [2] to identify species on deck — though the founder estimates real deployment is three to five years away.
In Alaska, the Alaska Longline Fishermen's Association is using a $485,000 grant to train Archipelago's FishVue AI [3] for sablefish and halibut fleets. For hunters and trappers, Stealth Cam's 2026 trail cameras add AI-powered "false image detection" and a "Rack Alert" feature [4] that recognizes when a buck enters the frame. Anglers are getting AI help too: MPR News reports that forward-facing sonar lets anglers "spot fish, track their movement and even watch how they react to a lure" [5].

Adoption is moving quickly off the boat (in monitoring offices and trail-cam apps) but slowly on the boat or in the field. Cost pressure is a big driver — rising fuel and labor prices push fleets toward AI that can shrink expensive observer programs. But many tasks — setting traps, stunning quarry, traveling by snowmobile or boat in rough weather — are physical, unpredictable, and hard to automate.
Ethics and law also slow things down: the Oregon Department of Fish and Wildlife explains that thermal imaging devices and drones are illegal for hunting because they violate "fair chase—a foundational principle in North American hunting ethics" [6]. The takeaway for young people considering this career: AI is becoming a useful sidekick for paperwork, scouting, and counting, but the human skills that matter most here — judgment in dangerous weather, hands-on craft, knowing animal behavior, and respecting conservation ethics — are still firmly in human hands.

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They catch fish and hunt animals to provide food or materials, using gear like nets, traps, and guns, often working outdoors in various weather conditions.
Jobs (2024)
21,900
Growth (2024-34)
-4.6%
Annual Openings
2,800
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Kill or stun trapped quarry, using clubs, poisons, guns, or drowning methods.
Select, bait, and set traps, and lay poison along trails, according to species, size, habits, and environs of birds or animals and reasons for trapping them.
Travel on foot, by vehicle, or by equipment such as boats, snowmobiles, helicopters, snowshoes, or skis to reach hunting areas.
Release quarry from traps or nets and transfer to cages.
Scrape fat, blubber, or flesh from skin sides of pelts with knives or hand scrapers.
Train dogs for hunting.
Maintain engines, fishing gear, and other on-board equipment and perform minor repairs.
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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