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AI exposure report
Will AI replace Geological Technicians, Except Hydrologic Technicians?
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 Geological Technicians, Except Hydrologic Technicians?
Not entirely. Today's AI tools can take on about 33% of the typical work in this occupation, mostly: compile, log, or record testing or operational data for review and further analysis. The parts that stay human include: Test and analyze samples to determine their content and characteristics, using laboratory apparatus or testing equipment.; Collect or prepare solid or fluid samples for analysis.; Participate in geological, geophysical, geochemical, hydrographic, or oceanographic surveys, prospecting field trips, exploratory drilling, well logging, or underground mine survey programs..
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.
+ 23 more tasks (49% of the week) in the full test.
Your human edge
- Test and analyze samples to determine their content and characteristics, using laboratory apparatus or testing equipment.
- Collect or prepare solid or fluid samples for analysis.
- Participate in geological, geophysical, geochemical, hydrographic, or oceanographic surveys, prospecting field trips, exploratory drilling, well logging, or underground mine survey programs.
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 20 papers and regional survey reports on one target formation, verify every claim against the source, and draft a formatted 5-page literature and methods section.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
Build an AI-written Python or R script that ingests a year of core assay and well log data, produces QA plots and downhole statistics, and version it in a repo with your prompts.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 an AI model to classify lithology or mineral alteration from 500 logged core photos or XRF scans, and report accuracy against your own hand-logged labels plus an AI-use disclosure.