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AI exposure report
Will AI replace Climate Change Policy Analysts?
Many of your tasks are within reach of AI. The role will change, so it pays to act now.
Task exposure to today's AI
High 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 Climate Change Policy Analysts?
Not entirely. Today's AI tools can take on about 60% of the typical work in this occupation, mostly: research policies, practices, or procedures for climate or environmental management. The parts that stay human include: Provide analytical support for policy briefs related to renewable energy, energy efficiency, or climate change.; Promote initiatives to mitigate climate change with government or environmental groups.; Gather and review climate-related studies from government agencies, research laboratories, and other organizations..
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.
+ 8 more tasks (40% of the week) in the full test.
Your human edge
- Provide analytical support for policy briefs related to renewable energy, energy efficiency, or climate change.
- Promote initiatives to mitigate climate change with government or environmental groups.
- Gather and review climate-related studies from government agencies, research laboratories, and other organizations.
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 20 public climate studies into a 4-page policy brief with formatted citations, verifying every claim against the source and logging hours saved versus your usual pace.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 AI-assisted Python or R script that charts your jurisdiction's emissions inventory and reproduces three key statistics, storing code and prompts in a versioned repo.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 200 public comments or bill sections by climate impact type, validate against 50 of your own hand labels, and report accuracy plus an AI-use disclosure note.