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AI exposure report
Will AI replace Industrial Ecologists?
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
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 scoreWill AI replace Industrial Ecologists?
Not entirely. Today's AI tools can take on about 59% of the typical work in this occupation, mostly: prepare technical and research reports, such as environmental impact reports, and communicate the results to individuals in industry, government, or the general public. The parts that stay human include: Identify or develop strategies or methods to minimize the environmental impact of industrial production processes.; Examine local, regional, or global use and flow of materials or energy in industrial production processes.; Review industrial practices, such as the methods and materials used in construction or production, to identify potential liabilities and environmental hazards..
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.
+ 32 more tasks (64% of the week) in the full test.
Your human edge
- Identify or develop strategies or methods to minimize the environmental impact of industrial production processes.
- Examine local, regional, or global use and flow of materials or energy in industrial production processes.
- Review industrial practices, such as the methods and materials used in construction or production, to identify potential liabilities and environmental hazards.
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 and summarise 40 LCA papers for one industrial process, verify every claim against the source PDFs, and draft a 10-page literature review with formatted references in under 3 days.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 a past material flow analysis as a version-controlled Python or R script written with AI help, including Sankey plots and uncertainty stats, and compare results and hours against your spreadsheet.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 emission factors and process data from 100 public facility reports, validate against 20 hand-coded records, and document accuracy, data handling and AI disclosure in a short method note.