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AutomationAtlas
What work tasks can AI assist with — and where in the world?
An open atlas of automation exposure across 124 countries, 23,851 tasks, and 6,275 skills. Based on task-level measurement, not aggregate predictions.
World View preview
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Three ways in.
Pick a starting point. Each takes you to a different depth — broad comparison, single country, or guided narrative.
What this atlas measures
Task exposure — not adoption, displacement, or wages.
We evaluated 23,851 real work tasks against what current AI systems can assist with. For each task, we asked: can an AI system plausibly handle or support this activity?
The result is a country-level map of which tasks are most amenable to AI assistance — and how that varies across income levels, regions, and trade-linked industries.
The atlas measures exposure at the task level. It does not predict whether automation will actually happen, or what effect it will have on employment or wages.
124
countries in the main panel
23,851
work tasks evaluated
6,275
skills mapped to tasks
4
exposure levels (1 = low, 4 = high)
Case studies
Country diagnostics in plain language.
Each case study packages the same public data into a readable country narrative — suitable for policymakers, researchers, and general readers.
