Will AI replace Fish and Game Wardens?
Estimated risk score: 34 out of 100
Lower replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (15 to 53).
For the occupation as a whole, from ratings of its 24 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 33-3031.00 · Protective Service
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 24 rated tasks. In O*NET’s words.
- Issue warnings or citations and file reports as necessary.
- Issue licenses, permits, or other documentation.
- Address schools, civic groups, sporting clubs, or the media to disseminate information concerning wildlife conservation and regulations.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 13 of its 24 rated tasks; the first 6 are shown. In O*NET’s words.
- 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.
- Seize equipment used in fish and game law violations.
- Serve warrants and make arrests.
- Arrange for disposition of fish or game illegally taken or possessed.
- Inspect commercial operations relating to fish or wildlife, recreation, or protected areas.
What the job is
Patrol assigned area to prevent fish and game law violations. Investigate reports of damage to crops or property by wildlife. Compile biological data.
Also called: Game Warden, Wildlife Officer, State Game Warden, Warden, Game Agent, Park Guard, Fish Warden, Park Warden.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate