Will AI replace Environmental Economists?
Estimated risk score: 59 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (40 to 78).
For the occupation as a whole, from ratings of its 20 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 19-3011.01 · Life, Physical, and Social Science
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 4 of its 20 rated tasks. In O*NET’s words.
- Perform complex, dynamic, and integrated mathematical modeling of ecological, environmental, or economic systems.
- Write technical documents or academic articles to communicate study results or economic forecasts.
- Write research proposals and grant applications to obtain private or public funding for environmental and economic studies.
- Write social, legal, or economic impact statements to inform decision makers for natural resource policies, standards, or programs.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 20 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Conduct economic analysis related to environmental protection and use of the natural environment, such as water, air, land, and renewable energy resources. Evaluate and quantify benefits, costs, incentives, and impacts of alternative options using economic principles and statistical techniques.
Also called: Resource Economist, Natural Resource Economist, Energy Economist, Ecological Economist, Marine Resource Economist, Environmental Protection Economist, Environment and Natural Resources Economics Researcher.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate