Will AI replace Environmental Economists?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

61/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Environmental Economists?

Not entirely. Today's AI tools can take on about 61% of the typical work in this occupation, mostly: write technical documents or academic articles to communicate study results or economic forecasts. The parts that stay human include: Assess the costs and benefits of various activities, policies, or regulations that affect the environment or natural resource stocks.; Write technical documents or academic articles to communicate study results or economic forecasts.; Collect and analyze data to compare the environmental implications of economic policy or practice alternatives..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Write technical documents or academic articles to communicate study results or economic forecasts.AI already used 72%

Prepare and deliver presentations to communicate economic and environmental study results, to present policy recommendations, or to raise awareness of environmental consequences. 70%

Conduct research on economic and environmental topics, such as alternative fuel use, public and private land use, soil conservation, air and water pollution control, and endangered species protection. 68%

Collect and analyze data to compare the environmental implications of economic policy or practice alternatives. 55%

Assess the costs and benefits of various activities, policies, or regulations that affect the environment or natural resource stocks. 53%

Develop economic models, forecasts, or scenarios to predict future economic and environmental outcomes.AI already used 53%

+ 14 more tasks (44% of the week) in the full test.

Your human edge

Assess the costs and benefits of various activities, policies, or regulations that affect the environment or natural resource stocks.
Write technical documents or academic articles to communicate study results or economic forecasts.
Collect and analyze data to compare the environmental implications of economic policy or practice alternatives.

AI tools to try

ChatGPT / Claude for literature and writingAI research tools (e.g. Elicit, Consensus, Semantic Scholar)Copilot for data analysis code (Python, R)

Related roles

A 3-phase AI learning plan

Phase 1

Faster literature and writing

Literature search and summaries with AI, always checked against the papers.
Drafts of methods, reports and grant text.
Reference management and formatting.

Project

Use AI to screen 40 papers on one valuation topic into a referenced literature review and draft methods section, verifying every citation against the source and logging hours saved versus your last review.

Phase 2

AI for data analysis

Analysis code in Python or R written with AI help.
Visualisation and statistics explained step by step.
Reproducibility: version code and prompts.

Project

Rebuild one past cost-benefit or emissions analysis as an AI-assisted, version-controlled R or Python script with automated charts, and confirm results match your original numbers within 1%.

Phase 3

AI as a research method

Classification, extraction or modelling with AI on your data.
Validate against human labels or ground truth.
Ethics, data protection and disclosure of AI use.

Project

Use an AI model to extract willingness-to-pay estimates or land-use codes from 200 documents, validate against 50 hand-coded records, and report accuracy plus an AI-use disclosure note.

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