The unequal adoption of ChatGPT exacerbates existing inequalities among workers
成果类型：
Article
署名作者：
Humlum, Anders; Vestergaard, Emilie
署名单位：
University of Chicago; University of Copenhagen
刊物名称：
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN：
0027-14593
DOI：
10.1073/pnas.2414972121
发表日期：
2025-01-07
关键词：
摘要：
We study the adoption of ChatGPT, the icon of Generative AI, using a large-scale survey linked to comprehensive register data in Denmark. Surveying 18,000 workers from 11 exposed occupations, we document that ChatGPT is widespread, especially among younger and less-experienced workers. However, substantial inequalities have emerged. Women are 16 percentage points less likely to have used the tool for work. Furthermore, despite its potential to lift workers with less expertise, users of ChatGPT earned slightly more already before its arrival, even given their lower tenure. Workers see a substantial productivity potential in ChatGPT but are often hindered by employer restrictions and a perceived need for training.