Mostly Resilient

Last Update: 6/19/2026

AI Resilience Score for Fishing & Hunting Workers:

52.6%

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

Methodology and Scoring Rationale

To score how resilient fishing and hunting work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For fishing and hunting workers, four of the seven sources had data, which is why confidence sits at low-medium. The sources that did weigh in mostly agreed: AI Resilience Model and Microsoft both rated AI exposure low, with Will Robots Take My Job slightly higher. Strong human contribution lifts the score, but weak employer demand pulls it back, landing this career at "Mostly Resilient."

AI Resilience Report forFishing and Hunting Workers

N/A median salary2,800 annual openingsSOC Code: 45-3031.00

Fishing and Hunting Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 4 sources.

Fishing and hunting work is labeled "Mostly Resilient" because the heart of the job, setting traps, navigating rough water, reading animal behavior, and making split-second calls in dangerous conditions, is physical, unpredictable, and deeply human in ways that AI simply cannot replicate yet. AI is stepping in as a helpful assistant for the more routine, desk-side tasks (like reviewing hours of monitoring footage or spotting species on deck), saving workers significant time without actually taking over their roles.

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This role is mostly resilient

Fishing and hunting work is labeled "Mostly Resilient" because the heart of the job, setting traps, navigating rough water, reading animal behavior, and making split-second calls in dangerous conditions, is physical, unpredictable, and deeply human in ways that AI simply cannot replicate yet. AI is stepping in as a helpful assistant for the more routine, desk-side tasks (like reviewing hours of monitoring footage or spotting species on deck), saving workers significant time without actually taking over their roles.

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Analysis of Current AI Resilience

Fishing & Hunting Workers

Updated Quarterly

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.

Sources

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Will AI replace Fishing & Hunting Workers?

Will AI replace Fishing & Hunting Workers?

No. We don't think AI will replace Fishing and Hunting Workers, though we do expect the job to change.

That view is backed by our 52.6% AI Resilience Score. Right now, AI is mostly handling the paperwork side of things. Tools like Catchvision save up to 80% of the time spent reviewing electronic monitoring footage, but they do not replace human oversight [1]. Forward-facing sonar lets anglers track fish movement and watch how they react to a lure [5], and trail cameras now flag bucks automatically [4]. These are useful upgrades, not replacements.

The core of this work stays human for a few reasons. Setting traps, working in rough weather, reading animal behavior, and making judgment calls in the field are physical and unpredictable in ways AI cannot easily handle. Ethics and law slow automation further: thermal imaging and drones are banned for hunting in some states because they violate fair chase principles [6].

The honest caveat is that long-term employer demand for this field is weak, so job security is a real concern regardless of AI. The path forward is learning to work alongside these tools while building the hands-on, outdoor skills that no algorithm can replicate.

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Latest AI news for Fishing & Hunting Workers

These articles highlight how AI is transforming careers in fishing and hunting. For instance, the "AI & Fishing/Hunting Workers: Impact Timeline & Risk" article predicts that by 2037, 20% of tasks in this field could be automated, prompting workers to adapt and focus on more specialized skills. Similarly, the "SBIR Success Story" showcases how AI innovations are already improving efficiency and reducing costs in commercial fishing. Embracing AI can empower future workers to enhance their roles and stay resilient in a changing job landscape.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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