Not assessed
unknown
sources: BLS OES (approx) · O*NET
0 sources
14 core tasks shown
Climate Change Policy Analysts High exposure: 0 of 14 core tasks show high task automation potential : exposure 50/100 (not assessed).
No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.
Score breakdown
Why this score?
Every component is stored with the score row and can be recomputed from the evidence table.
Methodology - · score - · input hash -
Strength of current models on the capabilities this job's tasks require.
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Evidence that AI is actually being used for this work.
Observed changes in postings, employment or earnings.
Quantity and source quality of the evidence behind the score.
0 evidence item(s) contribute. Calculated -.
Overview
Research and analyze policy developments related to climate change. Make climate-related recommendations for actions such as legislation, awareness campaigns, or fundraising approaches.
Employment
-
approx. BLS OES
Median wage
-
approx. BLS OES
Tasks tracked
14
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Task-level automation exposure
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 4.8/5
core task · importance 4.5/5
core task · importance 4.3/5
core task · importance 4.3/5
core task · importance 4.3/5
core task · importance 4.2/5
core task · importance 4.1/5
core task · importance 4.1/5
core task · importance 4.1/5
core task · importance 4/5
core task · importance 3.8/5
core task · importance 3.7/5
core task · importance 3.6/5
core task · importance 3.6/5
Evidence
Evidence trail
0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.
Historical trend
Exposure over time
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
No series yet
This chart fills in once the first snapshot is recorded.
Reconstruction, not measurement. 0 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
No events match this filter yet. New verified events appear here as analysis completes.
Related
Related Occupations
Occupations sharing major SOC group (19) with Climate Change Policy Analysts.
faq
Frequently Asked Questions
Common questions regarding Climate Change Policy Analysts and AI exposure.
Will AI replace Climate Change Policy Analysts?
Current AI models show an exposure score of 50/100 for Climate Change Policy Analysts. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
Which tasks in Climate Change Policy Analysts have the highest AI exposure?
The most exposed tasks for Climate Change Policy Analysts include "Provide analytical support for policy briefs related to renewable energy, energy efficiency, or climate change." (50% exposure) and "Propose new or modified policies involving use of traditional and alternative fuels, transportation of goods, and other…" (50% exposure).
What aspects of Climate Change Policy Analysts can AI not do yet?
Tasks with the lowest AI exposure for Climate Change Policy Analysts include "Prepare grant applications to obtain funding for programs related to climate change, environmental management, or susta…" (50% exposure) and "Present and defend proposals for climate change research projects." (50% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.