Global Automation Atlas
arXiv:2605.17086v2 Announce Type: replace-cross Abstract: Automation can displace or complement labour, but this need not be constant across economies. Existing exposure measures typically assign fixed scores to tasks or occupations and capture cross-country variation through employment structure. Here we show that feasible automation depends jointly on task content and country-level conditions. We use a large language model to classify 18,797 work tasks in 124 economies by exposure, labour marg
Record details
Published: 22 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Jobs & economy
Retrieved: 22 July 2026
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ethics.ai (22 July 2026), “Global Automation Atlas,” evidence record 12293, https://ethics.ai/record/12293 (originally published by arXiv cs.CY).
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