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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Climate Change Policy Analysts are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Climate Change Policy Analysts are labeled "Mostly Resilient" because while AI is taking over the time-consuming data work — like crunching numbers and running risk assessments — the heart of this job still requires real human skills that AI simply can't replicate. Building trust with communities, presenting ideas at public meetings, and navigating the messy political realities of getting climate policies actually adopted are things no algorithm can do for you.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Climate Change Policy Analysts are labeled "Mostly Resilient" because while AI is taking over the time-consuming data work — like crunching numbers and running risk assessments — the heart of this job still requires real human skills that AI simply can't replicate. Building trust with communities, presenting ideas at public meetings, and navigating the messy political realities of getting climate policies actually adopted are things no algorithm can do for you.
Read full analysisAnalysis of Current AI Resilience
Climate Policy Analyst
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting climate policy analysts rather than replacing them, especially for the heavy "data crunching" parts of the job. According to a 2026 careers overview, AI systems are beginning to automate data collection and risk assessments in energy policy roles [1], shifting analysts toward higher-level framework design. Trade groups are also experimenting: the International Emissions Trading Association says the carbon market is on the brink of a digital transformation built on digitalisation, standardisation and Artificial Intelligence (AI) [2] as core enablers.
A March 2026 paper in npj Climate Action even proposes using large language models as "cultural world models" to simulate public responses before implementation [3] — basically letting AI stress-test a climate policy before it goes public. Research bodies like the Climate Policy Initiative are publishing data portals that track climate commitments made by 170 major public development banks [4], giving analysts AI-ready datasets instead of replacing their judgment.

Adoption will probably be steady but cautious. On the "fast" side, generative tools are cheap and widely available, and tech companies' surging power demand has made climate analysis a top boardroom topic — Google's emissions jumped nearly 50% while Amazon's rose 33% and Microsoft's more than 23% [5], creating urgent demand for analysts who can model these tradeoffs. On the "slow" side, AI governance has primarily been hands off, with "let it rip" the general attitude among most federal policymakers [6], which makes public-sector analysts wary of trusting unverified AI outputs.
The good news for students: the human tasks with the lowest automation scores — presenting at public meetings, promoting initiatives, and building trust with communities — are exactly the skills AI struggles with. UNESCO emphasizes that responsible AI governance must align with human rights and sustainability principles [7], meaning ethics-savvy humans will stay at the center of climate policy for years to come.

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They study environmental data and create plans to reduce climate change effects, helping governments and organizations make eco-friendly decisions.
Median Wage
$80,060
Jobs (2024)
90,300
Growth (2024-34)
+4.4%
Annual Openings
8,500
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Promote initiatives to mitigate climate change with government or environmental groups.
Present climate-related information at public interest, governmental, or other meetings.
Research policies, practices, or procedures for climate or environmental management.
Analyze and distill climate-related research findings to inform legislators, regulatory agencies, or other stakeholders.
Review existing policies or legislation to identify environmental impacts.
Prepare grant applications to obtain funding for programs related to climate change, environmental management, or sustainability.
Gather and review climate-related studies from government agencies, research laboratories, and other organizations.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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