Will AI replace Park Naturalists?
Estimated risk score: 46 out of 100
Moderate 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 (27 to 65).
For the occupation as a whole, from ratings of its 18 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 19-1031.03 · Life, Physical, and Social Science
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: 4 of its 18 rated tasks. In O*NET’s words.
- Prepare brochures and write newspaper articles.
- Compile and maintain official park photographic and information files.
- Provide visitor services, such as explaining regulations, answering visitor requests, needs and complaints, and providing information about the park and surrounding areas.
- Confer with park staff to determine subjects and schedules for park programs.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 3 of its 18 rated tasks. In O*NET’s words.
- Perform emergency duties to protect human life, government property, and natural features of park.
- Conduct field trips to point out scientific, historic, and natural features of parks, forests, historic sites, or other attractions.
- Perform routine maintenance on park structures.
What the job is
Plan, develop, and conduct programs to inform public of historical, natural, and scientific features of national, state, or local park.
Also called: Camp Ranger, Park Worker, Park Specialist, National Park Ranger, Park Ranger Assistant, Park Protection Ranger, Interpretive Naturalist, Park Interpretive Ranger.
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