Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Fishing & Hunting Workers:

53.0%

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 five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. 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, five of eight sources had data. The AI exposure sources largely agreed: AI Resilience Model, Microsoft, and OpenAI Signals all rated human contribution high, with Will Robots Take My Job slightly lower. However, weak employer demand from BLS Opportunity Score and missing economic data kept confidence at low-medium, landing this role at "Mostly Resilient."

AI Resilience Report forFishing and Hunting Workers

N/A median salary3,300 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 5 sources.

Fishing and hunting work earns a "Mostly Resilient" label because the core of the job, things like steering a boat through rough weather, reading animal signs, hauling nets, and making quick safety calls, requires physical skill and real-world judgment that AI simply cannot replicate. AI tools are stepping in as helpful teammates rather than replacements, boosting things like catch monitoring, supply chain tracking, and wildlife data analysis, but a computer cannot bait a trap or navigate a remote waterway for you.

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This role is mostly resilient

Fishing and hunting work earns a "Mostly Resilient" label because the core of the job, things like steering a boat through rough weather, reading animal signs, hauling nets, and making quick safety calls, requires physical skill and real-world judgment that AI simply cannot replicate. AI tools are stepping in as helpful teammates rather than replacements, boosting things like catch monitoring, supply chain tracking, and wildlife data analysis, but a computer cannot bait a trap or navigate a remote waterway for you.

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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 workers rather than replacing them. On commercial boats, one of the biggest changes is AI-assisted monitoring: a NOAA-funded company built software called Catchvision that reviews the huge amount of video from onboard cameras, saving up to 80% of the time spent reviewing electronic monitoring footage while counting fish and identifying species. Fishermen are also being pitched AI as a way to boost their income — new platforms use smartphone apps, biometric scanners, and AI to track seafood through the supply chain, verify sustainability, and share premium prices with the people who caught the fish.

Meanwhile, groups like Global Fishing Watch are using satellite imagery to process roughly 2 million square kilometers of ocean per day [1], spotting illegal fishing that affects legal fishers' livelihoods.

For hunters and trappers, AI is showing up in gear more than in the field itself. Peer-reviewed research describes how camera traps, acoustic sensors, drones and open-source AI platforms are being deployed to detect and disrupt illegal wildlife harvest [2], and university researchers report that AI now cuts wildlife tracking analysis from months down to days [3]. The physical work — steering a boat in a storm, reading animal signs, baiting a trap, hauling nets — still depends heavily on human judgment and hands-on skill.

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AI Adoption

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

Adoption is likely to stay gradual. The U.S. Bureau of Labor Statistics notes that AI is expected to primarily affect occupations whose core tasks can be most easily replicated by generative AI [4] — and most fishing/hunting tasks (weather judgment, gear repair, physically reaching remote areas) don't fit that description. Boats are expensive, margins are tight, and adding cameras or AI software has to pay for itself, which is why federally subsidized pilots like the NOAA SBIR program that helped bring Catchvision to market [5] matter so much.

Regulation is another accelerator: fishery managers want cheaper, more accurate catch data, so AI-assisted monitoring gets pushed forward.

For hunting, adoption faces cultural pushback. A 2026 industry piece notes that state agencies have already banned or restricted real-time cellular trail cameras during hunting season, with more expected in 2027 [6], reflecting "fair chase" ethics that limit how far AI can go. The good news for young people curious about this career: skills like reading the water, handling equipment, respecting wildlife, and making split-second safety calls remain deeply human — AI is becoming a helpful teammate on deck and in the field, not a replacement for the person doing the work.

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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.

Our 53.0% AI Resilience Score reflects a career that holds up well against automation, and the reasoning is pretty straightforward: most of what these workers actually do is hard to replicate. Steering a boat through rough weather, reading animal signs, hauling nets, and making split-second safety calls are deeply physical and situational skills. The Bureau of Labor Statistics notes that AI most easily affects jobs whose core tasks can be replicated by generative AI [4], and fishing and hunting tasks largely don't fit that description.

What AI is doing right now is more like adding a capable deckhand than replacing the captain. Software like Catchvision, developed with federal support, cuts the time spent reviewing onboard monitoring footage significantly [5]. Global Fishing Watch processes roughly 2 million square kilometers of ocean per day to flag illegal fishing that hurts legal workers [1]. In hunting, AI tools are helping with wildlife tracking analysis, but cultural guardrails matter too: many states have already banned real-time AI-assisted trail cameras during hunting season [6].

The job market picture is worth noting honestly. Long-term employer demand scores low, so this field has real headwinds beyond AI. Still, the human core of the work remains intact.

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Latest AI news for Fishing & Hunting Workers

These articles highlight the unique resilience of Fishing and Hunting Workers in the face of AI advancements. While some tasks, like checking catch measurements, may become automated, the core of fieldwork remains largely safe from AI for over 15 years. For instance, one article notes that fishing and hunting workers face only a 27/100 risk of automation, indicating a stable job outlook. Understanding how to leverage technology without losing the human touch is key for future professionals in this field.

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 (2025)

28,200

Growth (2025-35)

-4.2%

Annual Openings

3,300

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

95% ResilienceCore Task

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

2

95% ResilienceSupplemental

Skin quarry, using knives, and stretch pelts on frames to be cured.

3

95% ResilienceSupplemental

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

4

94% ResilienceSupplemental

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

5

93% 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.

6

93% ResilienceSupplemental

Maintain and repair trapping equipment.

7

92% 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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