The Impact of Job Exposure to Artificial Intelligence on the Korean Labor Market in 2020
By Yeseul Lee & Hyeonjun Hwang This study examines the impact of artificial intelligence exposure on wage and employment outcomes in the Korean labor market in 2020. We propose the Artificial Intelligence Exposure Score (AIES) by integrating 27,921 Korean AI patents from 2011 and 2020 with O*NET task descriptions through Sentence-BERT natural language processing techniques. This approach creates occupation-level exposure measures that reflect Korea-specific innovation patterns. Using data from the Korean Labor and Income Panel Study (KLIPS), we estimate log-linear...
