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AI exposure report
Will AI replace Anthropologists and Archeologists?
Some of your tasks will be automated. People who use AI will have the edge.
Task exposure to today's AI
Moderate 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 Anthropologists and Archeologists?
Not entirely. Today's AI tools can take on about 47% of the typical work in this occupation, mostly: write about and present research findings for a variety of specialized and general audiences. The parts that stay human include: Research, survey, or assess sites of past societies and cultures in search of answers to specific research questions.; Write about and present research findings for a variety of specialized and general audiences.; Teach or mentor undergraduate and graduate students in anthropology or archeology..
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.
+ 24 more tasks (55% of the week) in the full test.
Your human edge
- Research, survey, or assess sites of past societies and cultures in search of answers to specific research questions.
- Write about and present research findings for a variety of specialized and general audiences.
- Teach or mentor undergraduate and graduate students in anthropology or archeology.
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 for one site's literature review, verify every claim and citation against the originals, 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 artifact or survey dataset analysis as an AI-assisted, version-controlled R or Python script with plots and stats, and compare results to your original figures.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
Train or prompt an AI model to classify 200 potsherd or lithic photos, validate against your own expert labels, report accuracy, and draft an AI-use disclosure statement.