Science · SOC 19-3011.01
Environmental economists face AI augmentation in modeling and reporting, but policy design and expert judgment on trade-offs stay human.
A large share of tasks is exposed; the role will change a lot.
Timeline: AI will take over routine scenario modeling within 3 years; environmental economists who specialize in novel valuation methods and policy engagement will maintain strong demand.
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$93,330 median pay
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AI job-risk card
Environmental Economists is at risk on AIFear. A large share of tasks is exposed; the role will change a lot.
AIFear.com
Our AI Fear Score for Environmental Economists is 60/100 (At risk). A large share of tasks is exposed; the role will change a lot.
60 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Writing technical reports and economic forecasts, Building and running environmental-economic models, Synthesizing research literature, Preparing data-driven policy presentations. Harder to automate: Performing dynamic integrated systems modeling, Teaching environmental economics courses, Examining long-run resource exhaustibility trade-offs, Engaging political and regulatory stakeholders.
Lean into Environmental-economic modeling, Cost-benefit analysis, Natural capital valuation, Science-policy communication. Consider roles such as Environmental policy advisor or Sustainability economics researcher or Climate finance analyst.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.