Displaced or augmented? How does Artificial Intelligence Affect Our Jobs: Evidence from LinkedIn
COM2 Level 4
Executive Classroom, COM2-04-02
Examiners: Assistant Professors Um Sungyong and Qiao Dandan
Abstract:
With the rapid advances of artificial intelligence (AI), increasingly more job tasks can be automated by AI. Despite the hype of AI in news media, we know little about the extent to which AI may hurt or benefit different occupations of professionals. Almost all existing literature focused on creating one AI automation score for each occupation with the focus on how likely AI may replace human beings in that job role. However, the effects of AI on each job is multi-dimensional. For example, AI may automate non-critical tasks for many job roles, indirectly increasing the productivity and value creation of that kind of jobs. In this study, we develop a novel method to estimate the AI automation scores for core and supplemental work activities of all major occupations. Then we analyze how employees' prior work experience characteristics may lead to different results: being augmented or displaced by AI. This study identified several impactful human capital characteristics. Particularly, skills accumulated from prior work experiences and excellent educational background can reduce the risks of being replaced by AI. In addition, our results show that professionals with major in computing, law, and medicine are more likely to be augmented by AI since only their supplemental work activities may be automated.