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Abstract

Essay 1 investigates the aggregate employment and wage effects of AI and robotics, using patent data to measure technological progress in these fields. The study finds that robot exposure reduces low-skill employment but increases medium- and high-skill employment, while AI exposure has negative effects on employment but positive effects on wages.

Essay 2 focuses on how AI and robotics change the task content of occupations and the resulting effects on worker careers. It finds that robot exposure decreases the share of routine manual tasks, while AI exposure shifts tasks from non-routine to routine. AI also increases job-switching and reduces employment stability.

Essay 3 explores the effects of digital technologies on job quality and employer-provided training. The results show that advanced technologies like AI improve working conditions and training participation, while basic digital technologies have the opposite effect. It also highlights the role of firms in mitigating the negative effects of technological exposure through training and personnel management.