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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: 4/23/2026
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%).
High
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
Fish and Game Wardens are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
The career of Fish and Game Wardens is labeled as "Mostly Resilient" because many of their core duties, such as teaching visitors about nature and enforcing wildlife laws, rely heavily on human judgment and personal interaction—skills that AI can't replace. While technology like drones and AI tools can help with tasks such as wildlife monitoring, they primarily assist rather than replace wardens.
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Learn more about how you can thrive in this position
This role is mostly resilient
The career of Fish and Game Wardens is labeled as "Mostly Resilient" because many of their core duties, such as teaching visitors about nature and enforcing wildlife laws, rely heavily on human judgment and personal interaction—skills that AI can't replace. While technology like drones and AI tools can help with tasks such as wildlife monitoring, they primarily assist rather than replace wardens.
Read full analysisAnalysis of Current AI Resilience
Fish and Game Wardens
Updated Quarterly • Last Update: 2/17/2026

Fish and game wardens still do most of their work in person. In the field, tasks like counting wildlife are increasingly “augmented” with tech but not fully done by robots. For example, researchers use drones and machine learning to survey wild animals: high-flying drones take pictures in remote areas, and AI software can automatically spot and count animals in the images [1] [1].
In practice, Texas game wardens even fly thermal-camera drones to quickly find lost hikers in difficult terrain [2] [3]. These tools save time and let wardens cover more ground safely.
Still, many core duties have no AI replacement. Telling visitors about rules or advising on nature walks, and writing hunting regulations or handling illegal game, remain human jobs. The U.S. Department of Labor’s O*NET notes that wardens “provide advice or information to park or reserve visitors” and make wildlife policy recommendations [4].
We found no examples of AI doing these. This is likely because those activities need personal judgment, teaching skills, and knowledge of local conditions – things computers aren’t good at. In other words, current tech can help with data collection (like monitoring counts or habitat), but “people skills” tasks are still done by humans.

Whether AI takes off in this field depends on costs, need, and acceptance. The good news is that drones, sensors and AI tools are becoming more available. Some agencies are already experimenting: Kenya’s wildlife service has begun “modernizing surveillance using AI-enabled systems, drones and satellite-linked patrol tools” [5], and conservation projects elsewhere use cameras with deep‐learning software to alert rangers.
These investments happen partly because many parks face labor shortages – one report notes only ~300,000 rangers patrol the world, far below the millions needed [6]. If human teams are thin, technology is tempting.
On the other hand, equipment and training can be expensive. For example, Texas now has about 75 active drones for game wardens, but nearly 90% of them were bought with outside donations [2]. Many agencies rely on limited budgets or grants.
Ethical and legal concerns also play a role: drones used over public lands have to meet aviation rules, and communities may worry about privacy or fairness if AI is used incorrectly. In practice, we see technology growing steadily to assist wardens – cutting chart-checking time and expanding search abilities – but not replacing them. The human skills of judgement, teaching visitors, and coordinating law enforcement remain valuable [2] [6].
Overall, AI can help wardens work smarter (for example by automating routine counting), but it will likely supplement rather than replace the people doing the job.

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They protect wildlife and natural areas by enforcing laws, checking hunting and fishing licenses, and ensuring people follow rules in parks and forests.
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
Participate in search-and-rescue operations.
Protect and preserve native wildlife, plants, or ecosystems.
Arrange for disposition of fish or game illegally taken or possessed.
Seize equipment used in fish and game law violations.
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.
Participate in firefighting efforts.
Provide assistance to other local law enforcement agencies as required.
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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