Will AI replace Park Naturalists?
AI reaches a large part of this job’s work.
46/100
High exposure
More exposed to AI than 73% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 82% of the work
What the job involves
Plan, develop, and conduct programs to inform public of historical, natural, and scientific features of national, state, or local park.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(15)
- Provide visitor services, such as explaining regulations, answering visitor requests, needs and complaints, and providing information about the park and surrounding areas.
- Prepare and present illustrated lectures and interpretive talks about park features.
- Assist with operations of general facilities, such as visitor centers.
- Develop environmental educational programs and curricula for schools.
- Plan and organize public events at the park.
and 10 more
Out of reach(3)
- Conduct field trips to point out scientific, historic, and natural features of parks, forests, historic sites, or other attractions.
- Confer with park staff to determine subjects and schedules for park programs.
- Perform routine maintenance on park structures.
Also called
Environmental Educator · Naturalist · Park Guide · Park Ranger · Environmental Education Specialist · Interpretive Naturalist · Interpretive Park Ranger · Natural Resource Educator
Related jobs
- Range Managers42/100
- Tour Guides and Escorts37/100
- Fish and Game Wardens15/100
- Recreation Workers25/100
- Forest and Conservation Technicians34/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics