Labour market exposure to AI across countries

This IMF Working Paper based on worker level micro-data from a handful of Advanced Economies (AEs) and Emerging Markets (EMs) indicates that women and highly educated workers face greater occupational exposure to AI across contexts. Workers in the upper end of earnings distribution are more likely to be in occupations with high AI exposure, but also high potential complementarity i.e. lower risks of job displacement.

Although the research did not identify a straightforward association between age and AI exposure: 

“One general observation is that the youngest workers tend to have lower AI exposure than prime-age workers. Moreover, conditional on being in high-exposure occupations, younger workers are also less likely to be in jobs with high complementarity, and thus are more susceptible to potential negative impacts stemming from widespread AI adoption.

Source: International Monetary Fund, Labor Market Exposure to AI: Cross-country Differences and Distributional Implications