Will AI replace Geographers?

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

Task exposure to today's AI

49/100

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 Geographers?

Not entirely. Today's AI tools can take on about 49% of the typical work in this occupation, mostly: write and present reports of research findings. The parts that stay human include: Gather and compile geographic data from sources such as censuses, field observations, satellite imagery, aerial photographs, and existing maps.; Create and modify maps, graphs, or diagrams, using geographical information software and related equipment, and principles of cartography, such as coordinate systems, longitude, latitude, elevation, topography, and map scales.; Analyze geographic distributions of physical and cultural phenomena on local, regional, continental, or global scales..

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

Write and present reports of research findings.AI already used 72%

Study the economic, political, and cultural characteristics of a specific region's population. 57%

Create and modify maps, graphs, or diagrams, using geographical information software and related equipment, and principles of cartography, such as coordinate systems, longitude, latitude, elevation, topography, and map scales. 55%

Analyze geographic distributions of physical and cultural phenomena on local, regional, continental, or global scales. 53%

Provide geographical information systems support to the private and public sectors. 50%

Gather and compile geographic data from sources such as censuses, field observations, satellite imagery, aerial photographs, and existing maps. 35%

+ 6 more tasks (25% of the week) in the full test.

Your human edge

Gather and compile geographic data from sources such as censuses, field observations, satellite imagery, aerial photographs, and existing maps.
Create and modify maps, graphs, or diagrams, using geographical information software and related equipment, and principles of cartography, such as coordinate systems, longitude, latitude, elevation, topography, and map scales.
Analyze geographic distributions of physical and cultural phenomena on local, regional, continental, or global scales.

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 one study region's land-use change into a referenced 5-page literature review and methods draft, verifying every citation against the source.

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 cleans census and satellite data into a choropleth and hot-spot map, versioned in Git with prompts logged, and compare runtime to your manual GIS 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 model to classify land cover from 200 aerial image tiles, validate against 50 hand-labelled ground-truth tiles, report accuracy, and document AI use and data handling.

Take the free 11-question test