Oschinski, M., Spielman, Ch. and S. Subbu-Rathinam (2025). AI and the future of work for economists: rethinking economics education This paper examines skills requirements for jobs most commonly pursued by U.S. economics graduates, analyses how skills demand has already changed between 2015 and 2023, a period of rapid AI development, and discusses AI’s likely impact on job profiles. Based on our findings, we explore the implications for economics teaching at the university level. Adapting university curricula to these labor market shifts and equipping students with relevant skills is crucial for shaping a future-ready economics education..
Oschinski, M. and R. Walia (2025). Harnessing Generative AI: Navigating the Transformative Impact on Canada’s Labour Market This study explores the potential impact of generative AI on the Canadian workforce over the next five years. Through two novel approaches — using ChatGPT to evaluate the generative AI automation risk of occupations and employing the recently established Occupational and Skills Information System (OaSIS) database — we analyze how generative AI might transform work activities and skill requirements across different sectors and regions of the Canadian economy.