Generative Artificial Intelligence and Job Displacement: A Perspective From College Entrance Examination (Poster 5)

• In Event: AERA Poster Session Thursday 9:50 a.m.
  In Poster Session: Higher Education Policy Analysis

Abstract

As global economy transitions into digital era, generative AI is sparking concerns over job displacement and triggering risk-averse decision-making among college entrance exam candidates regarding their major choices, to whom existing research pays inadequate attention. This study introduces a novel perspective by using O*NET, CEE, and population surveys to calculate major-level employment substitution rates. We reveal that the emergence of ChatGPT notably decreased admission scores due to heightened job displacement risks, particularly in STEM majors and Tier 1 colleges, and further investigate its demand-supply mechanism in job postings and graduate surveys. Our findings withstand extensive robustness checks, offering new insights into the dynamics of education and labor markets, enhancing human capital theory, and informing policies for optimizing educational resource allocations.

Authors

• Peikang Zhang, Fudan University

• Xuanyu Chen, Fudan University