AI Skill Demand and Employment Stratification in Copyright-Intensive Information Industries: Evidence from Job Postings and Industry-Level Employment Data
利用美国人口普查局季度劳动力指标和AI相关招聘信息数据，分析了2018至2024年间版权密集型信息产业中AI技能需求与不同工人群体就业水平的关系，发现生成式AI引入后就业分层加剧。
This paper examines how employer demand for workers skilled in the use of artificial intelligence (AI) is associated with employment patterns in copyright-intensive industries within the U.S. information sector. Using panel data from the Census Bureau's Quarterly Workforce Indicators combined with data on AI-related job postings, we analyze how the relationship between employer demand for AI skills and employment levels varies across worker groups between 2018 and 2024. Furthermore, we document changes in this relationship following the widespread introduction of generative AI in late 2022. We find that employment in copyright-reliant information industries declined relative to other industries after late 2022, and that the association between AI-related job postings and employment is highly heterogeneous. Initial findings indicate that employment relationships were negative or statistically insignificant for workers who had not completed a four-year college degree, for women, and for the youngest and oldest age cohorts. A positive relationship existed for college educated workers, men, and prime-age workers, though this weakened in the periods after the introduction of generative AI. These findings provide early insights into how demand for generative AI skills may reshape labor market stratification within creative and information-intensive industries and underscore the importance of examining technological change in future research.