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AI exposure report
Will AI replace 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
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 Economists?
Not entirely. Today's AI tools can take on about 51% of the typical work in this occupation, mostly: conduct research on economic issues, and disseminate research findings through technical reports or scientific articles in journals. The parts that stay human include: Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.; Study economic and statistical data in area of specialization, such as finance, labor, or agriculture.; Provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers..
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.
+ 8 more tasks (25% of the week) in the full test.
Your human edge
- Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.
- Study economic and statistical data in area of specialization, such as finance, labor, or agriculture.
- Provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers.
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 summarise 30 papers on one economic question into an annotated literature review, verify every claim and citation against the source, and log hours saved versus your usual pace.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 forecasting or panel-regression analysis as an AI-assisted, version-controlled R or Python script with saved prompts, and compare runtime and results to the original.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 LLM to classify 500 firm filings or job postings into economic categories, validate against 100 hand-coded labels, and report accuracy plus an AI-use disclosure note.