1、Exposure to Artificial Intelligence and Occupational Mobility:A Cross-Country AnalysisMauro Cazzaniga,Carlo Pizzinelli,Emma Rockall,Marina M.Tavares WP/24/116IMF Working Papers describe research in progress by the author(s)and are published to elicit comments and to encourage debate.The views expres

2、sed in IMF Working Papers are those of the author(s)and do not necessarily represent the views of the IMF,its Executive Board,or IMF management.2024 JUNINTERNATIONAL MONETARY FUND 2 2024 International Monetary Fund WP/24/116 IMF Working Paper Research Department Exposure to Artificial Intelligence a

3、nd Occupational Mobility:A Cross-Country Analysis Prepared by Mauro Cazzaniga,Carlo Pizzinelli,Emma Rockall,Marina M.Tavares Authorized for distribution by Florence Jaumotte June 2024 IMF Working Papers describe research in progress by the author(s)and are published to elicit comments and to encoura

4、ge debate.The views expressed in IMF Working Papers are those of the author(s)and do not necessarily represent the views of the IMF,its Executive Board,or IMF management.ABSTRACT:We document historical patterns of workers transitions across occupations and over the life-cycle for different levels of

5、 exposure and complementarity to Artificial Intelligence(AI)in Brazil and the UK.In both countries,college-educated workers frequently move from high-exposure,low-complementarity occupations(those more likely to be negatively affected by AI)to high-exposure,high-complementarity ones(those more likel

6、y to be positively affected by AI).This transition is especially common for young college-educated workers and is associated with an increase in average salaries.Young highly educated workers thus represent the demographic group for which AI-driven structural change could most expand opportunities f