Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They protect wildlife and natural areas by enforcing laws, checking hunting and fishing licenses, and ensuring people follow rules in parks and forests.
Summary
The career of a Fish and Game Warden is considered "Stable" because it relies heavily on human skills like judgment, communication, and legal authority, which are difficult for AI to replace. While AI tools like drones and image recognition help with tasks like wildlife monitoring, the core responsibilities such as talking to visitors and enforcing laws still need a human touch.
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Learn more about how you can thrive in this position
Summary
The career of a Fish and Game Warden is considered "Stable" because it relies heavily on human skills like judgment, communication, and legal authority, which are difficult for AI to replace. While AI tools like drones and image recognition help with tasks like wildlife monitoring, the core responsibilities such as talking to visitors and enforcing laws still need a human touch.
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AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Fish and Game Wardens
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Fish and game wardens use a mix of human skill and new tech today. For example, wardens often use drones and cameras to help survey wildlife and find people. Texas game wardens now fly drones with thermal cameras during search-and-rescue calls, which helps them locate lost hikers or suspects faster [1] [2].
AI software can also speed up counting animals: conservationists use “camera traps” and AI image recognition to identify and tally species from photos [3]. Even hunter-harvest tracking is going digital – some agencies and apps let hunters log their bag counts online in real time [4]. These tools augment wardens’ work, making data collection and searches easier.
However, many core duties remain human-led. O*NET reports only about 21% of warden tasks are highly automated while roughly 31% have almost no automation [5]. Tasks like talking to visitors or giving school presentations, as well as enforcing laws and making arrests, still need people’s judgment, communication skills, and legal authority.
No robot is giving safety talks or issuing citations today. In short, AI systems today help with data and surveillance, but game wardens still do the heart of their job in person.

AI Adoption
Warden agencies take a careful approach to AI. Some useful tools exist, but they can be expensive or unproven. For example, researchers are developing drones with onboard AI cameras to spot illegal fishing boats at sea [6], but adapting such tech for game laws requires more testing.
In general, AI projects in government (including parks and wildlife services) often stay in small pilots because of costs and data challenges [7] [7]. Budget limits and the need for training mean change is slow. Public trust is also a key factor – citizens place high confidence in law enforcement roles, so agencies use AI only if it meets strict rules and privacy concerns [7].
On the other hand, using AI for support tasks (like analyzing wildlife photos or mapping cameras) can free up wardens for what machines can’t do. If technology makes wardens’ jobs safer or more efficient, it will likely be adopted step by step. In summary, AI in wildlife enforcement is still emerging.
Wardens’ human skills in leadership, communication and judgment will remain vital, while smart tools quietly help where they can [7] [7].

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Median Wage
$68,180
Jobs (2024)
7,000
Growth (2024-34)
-6.0%
Annual Openings
500
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Arrange for disposition of fish or game illegally taken or possessed.
Participate in firefighting efforts.
Protect and preserve native wildlife, plants, or ecosystems.
Serve warrants and make arrests.
Participate in search-and-rescue operations.
Patrol assigned areas by car, boat, airplane, horse, or on foot to enforce game, fish, or boating laws or to manage wildlife programs, lakes, or land.
Promote or provide hunter or trapper safety training.
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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