Will climate change policy analysts be replaced by AI?
Updated
Climate change policy analysts score 58 out of 100 for AI exposure. AI helps with 72% of their task time, and they stay in charge. AI can do another 15%. 13% needs a person.
- 15% AI can do it
- 72% AI helps
- 13% Needs a person
High exposure
Higher than 88% of the 923 jobs we scored.
Task by task
We graded 14 tasks, most exposed first. AI can do 2 of them, helps with 10 and leaves 2 to people.
| Task | AI exposure |
|---|---|
| Gather and review climate-related studies from government agencies, research laboratories, and other organizations. Literature search and screening are highly automatable with verification. | 72% AI can do it |
| Analyze and distill climate-related research findings to inform legislators, regulatory agencies, or other stakeholders. Summarizing research into stakeholder briefs is core LLM work. | 70% AI can do it |
| Write reports or academic papers to communicate findings of climate-related studies. Drafting papers from findings is strong AI work; authors stay accountable. | 70% AI helps |
| Prepare study reports, memoranda, briefs, testimonies, or other written materials to inform government or environmental groups on environmental issues, such as climate change. Drafting reports is strong; testimony needs accountable human approval. | 68% AI helps |
| Research policies, practices, or procedures for climate or environmental management. Desk research suits AI; verification keeps human in charge. | 68% AI helps |
| Provide analytical support for policy briefs related to renewable energy, energy efficiency, or climate change. Drafting and data summaries are AI strengths; expert review needed. | 60% AI helps |
| Review existing policies or legislation to identify environmental impacts. Document review for impacts suits AI with expert checks. | 60% AI helps |
| Prepare grant applications to obtain funding for programs related to climate change, environmental management, or sustainability. Grant drafting suits AI; funder fit and relationships stay human. | 60% AI helps |
| Develop, or contribute to the development of, educational or outreach programs on the environment or climate change. Curriculum and outreach drafts suit AI; delivery stays human. | 55% AI helps |
| Propose new or modified policies involving use of traditional and alternative fuels, transportation of goods, and other factors relating to climate and climate change. Policy design hinges on politics and stakeholder tradeoffs. | 40% AI helps |
Show the other 4 tasks
| Task | AI exposure |
|---|---|
| Make legislative recommendations related to climate change or environmental management, based on climate change policies, principles, programs, practices, and processes. Recommendations need political judgment and legal context. | 38% AI helps |
| Present climate-related information at public interest, governmental, or other meetings. Slides and talking points are AI; live delivery stays human. | 25% AI helps |
| Promote initiatives to mitigate climate change with government or environmental groups. Relationship building and advocacy depend on in-person trust. | 18% Needs a person |
| Present and defend proposals for climate change research projects. Live defense of proposals relies on expert human judgment. | 18% Needs a person |
How climate change policy analysts compare
All jobs (923)
Life, physical and social science (60)
Pay and outlook in the US
- Median pay
- $82,220 a year, May 2025
- Projected change in jobs
- +6.1% from 2024 to 2034
Skills to build
- Screen climate studies and verify citations before drafting
- Draft legislative recommendations in Microsoft Word
- Map emissions and policy data in ESRI ArcGIS software
- Run policy data checks in Python, R or SAS
- Present and defend proposals in live stakeholder meetings
- Build stakeholder decks in Microsoft PowerPoint
Safer roles nearby
5 related jobs with lower scores.
Questions about climate change policy analysts and AI
Will AI replace climate change policy analysts?
Climate change policy analysts score 58 out of 100 for AI exposure. AI helps with 72% of their task time, and they stay in charge. AI can do another 15%. 13% needs a person.
Will climate change policy analysts be replaced?
Partly. About 5 in 10 working hours go to tasks AI can already do, mostly gathering and screening climate studies and distilling findings into stakeholder briefs. What stays with people is advocacy, live defense of proposals and legislative recommendations that need political judgment.
Which climate policy tasks is AI taking over?
Literature search and briefing are the most exposed. Gathering and reviewing climate studies scores 72 on exposure, and distilling findings for legislators scores 70. AI can screen sources and draft summaries quickly, but the analyst still checks every citation before it reaches a regulator.
Which climate policy tasks stay human?
Promoting mitigation initiatives with government and environmental groups scores 18 on exposure, the lowest in the job. Relationship building depends on in-person trust. Presenting and defending research proposals also scores 18, because a live defense needs expert judgment from a person in the room.
How can climate change policy analysts stay valuable?
Verify every AI-drafted summary against the primary study before it enters a brief. Take responsibility for the legislative recommendations in Microsoft Word, tying each one to a named statute or regulation. Build geospatial evidence in ESRI ArcGIS software, run data checks in Python or R, and rehearse live testimony with stakeholders.
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