Global Automation Atlas releases first large-scale dataset on task-level automation exposure across 124 countries
The Global Automation Atlas delivers the first large-scale dataset on task-level automation exposure. It covers 18,797 tasks across 124 countries and produces 2.33 million country-task pairs. Hosted at automationatlas.org, the resource features an interactive world map, filters for occupations and industries, and breakdowns by substitution, augmentation, or combined exposure, plus tabs for the paper, methods, and downloadable data.
#1777Alex Imas@ALEXOLEGIMASThis is great work and much needed. There is a healthy debate about the implications of AI for society and the economy, but so much of it (both explicitly and implicitly) is focused on essentially the US and China.
The implications of AI may be quite different for developing and middle income countries. We need more research like this to understand those implications.
Prashant Garg@Prashant_Garg_We know surprisingly little about how automation will unfold outside rich countries. So we built the Global Automation Atlas: 18,000 tasks, 124 countries, and 2.3 million task-country comparisons.
