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AI exposure report
Will AI replace Park Naturalists?
Some of your tasks will be automated. People who use AI will have the edge.
Task exposure to today's AI
Moderate exposure
This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.
Get your personal scoreWill AI replace Park Naturalists?
Not entirely. Today's AI tools can take on about 40% of the typical work in this occupation, mostly: plan and organize public events at the park. The parts that stay human include: Conduct field trips to point out scientific, historic, and natural features of parks, forests, historic sites, or other attractions.; 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..
People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.
Which tasks AI can take on
The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.
+ 14 more tasks (34% of the week) in the full test.
Your human edge
- Conduct field trips to point out scientific, historic, and natural features of parks, forests, historic sites, or other attractions.
- 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.
AI tools to try
ChatGPT / Claude for literature and writingAI research tools (e.g. Elicit, Consensus, Semantic Scholar)Copilot for data analysis code (Python, R)Related roles
A 3-phase AI learning plan
Phase 1
Faster literature and writing
- Literature search and summaries with AI, always checked against the papers.
- Drafts of methods, reports and grant text.
- Reference management and formatting.
Project
Use AI to summarize 15 recent papers on your park's keystone species, verify each claim against the source, and draft a 20-minute interpretive talk plus a cited handout.Phase 2
AI for data analysis
- Analysis code in Python or R written with AI help.
- Visualisation and statistics explained step by step.
- Reproducibility: version code and prompts.
Project
Build an R or Python script with AI help to analyze three years of visitor-center attendance and program sign-ups, producing 5 charts and a seasonal staffing recommendation.Phase 3
AI as a research method
- Classification, extraction or modelling with AI on your data.
- Validate against human labels or ground truth.
- Ethics, data protection and disclosure of AI use.
Project
Use AI to classify 300 visitor comment cards and trail-camera or bird-count records into themes or species, validate against 50 of your own labels, and report accuracy and AI use.