{
  "id": 12293,
  "url": "https://arxiv.org/abs/2605.17086",
  "title": "Global Automation Atlas",
  "summary": "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",
  "authors": "Prashant Garg, Tommaso Crosta, Jasmin Baier",
  "category": "research",
  "topics": "jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-22T04:00:00.000Z",
  "fetched_at": "2026-07-22T05:10:49.469Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/12293",
  "original_url": "https://arxiv.org/abs/2605.17086",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}