Mostly Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

61.6%

Median Score

Meaningful human contribution

High

Long-term employer demand

Low

Sustained economic opportunity

N/A

Our confidence in this score:
Low-medium

Contributing sources

AI Resilience Report forFishing and Hunting Workers

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.

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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.

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Analysis of Current AI Resilience

Fishing & Hunting Workers

Updated Quarterly • Last Update: 5/14/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Fishing & Hunting Workers jobs?

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].

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AI Adoption

How fast is AI adoption growing for Fishing & Hunting Workers?

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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More Career Info

Career: Fishing and Hunting Workers

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.

Employment & Wage Data

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

Task-Level AI Resilience Scores

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

1

96% ResilienceCore Task

Kill or stun trapped quarry, using clubs, poisons, guns, or drowning methods.

2

96% ResilienceCore Task

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.

3

96% ResilienceCore Task

Travel on foot, by vehicle, or by equipment such as boats, snowmobiles, helicopters, snowshoes, or skis to reach hunting areas.

4

96% ResilienceSupplemental

Release quarry from traps or nets and transfer to cages.

5

95% ResilienceCore Task

Scrape fat, blubber, or flesh from skin sides of pelts with knives or hand scrapers.

6

95% ResilienceSupplemental

Train dogs for hunting.

7

94% ResilienceCore Task

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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