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AI exposure report

Will AI replace Geoscientists, Except Hydrologists and Geographers?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

40/100

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 score

Will AI replace Geoscientists, Except Hydrologists and Geographers?

Not entirely. Today's AI tools can take on about 40% of the typical work in this occupation, mostly: communicate geological findings by writing research papers, participating in conferences, or teaching geological science at universities. The parts that stay human include: Analyze and interpret geological, geochemical, or geophysical information from sources, such as survey data, well logs, bore holes, or aerial photos.; Analyze and interpret geological data, using computer software.; Plan or conduct geological, geochemical, or geophysical field studies or surveys, sample collection, or drilling and testing programs used to collect data for research or application..

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
Communicate geological findings by writing research papers, participating in conferences, or teaching geological science at universities. 65%
Prepare geological maps, cross-sectional diagrams, charts, or reports concerning mineral extraction, land use, or resource management, using results of fieldwork or laboratory research. 55%
Analyze and interpret geological data, using computer software. 35%
Analyze and interpret geological, geochemical, or geophysical information from sources, such as survey data, well logs, bore holes, or aerial photos. 30%
Plan or conduct geological, geochemical, or geophysical field studies or surveys, sample collection, or drilling and testing programs used to collect data for research or application. 17%
Investigate the composition, structure, or history of the Earth's crust through the collection, examination, measurement, or classification of soils, minerals, rocks, or fossil remains. 15%

+ 26 more tasks (43% of the week) in the full test.

Your human edge

  • Analyze and interpret geological, geochemical, or geophysical information from sources, such as survey data, well logs, bore holes, or aerial photos.
  • Analyze and interpret geological data, using computer software.
  • Plan or conduct geological, geochemical, or geophysical field studies or surveys, sample collection, or drilling and testing programs used to collect data for research or application.

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 on a basin or ore district you work in, verify every claim against the source, and draft a 5-page literature review plus formatted reference list in under 10 hours.

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-assisted Python or R script that loads 50 well logs or geochemical assays, plots cross-sections and runs summary statistics, versioned in Git with prompts logged; compare runtime to your manual workflow.

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 classifier on your own core photos or thin-section images to label lithology, validate it against 200 geologist-assigned labels, and report accuracy plus an AI-use disclosure statement.
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