Digital skill adoption and employment dynamics: Evidence from matched vacancy-employer–employee data
利用丹麦在线招聘数据衡量数字技能需求，发现企业投资数字技能（尤其是数据科学和AI）与生产率和就业增长正相关，但可能加剧职业、行业和地区间的劳动力市场差距。
This paper examines the interplay between firms’ investments in digital skills and employment dynamics within the Danish labor market. We employ novel digital skill demand measures derived from online job postings using natural language processing techniques. We document a strong positive correlation between demand for digital skills, particularly in data science and AI, and firm productivity. Using dynamic lead–lag models, we estimate a positive relationship between digital skill investments and firm-level employment. This positive association is broad-based across demographic groups, and is stronger in certain occupations when specifically considering data science and AI skills. While digitalization drives job creation and productivity gains overall, the workforce impacts of specific technologies are heterogeneous. Our results suggest that digitalization, and particularly data science and AI adoption, may amplify existing labor market disparities across occupations, industries, and regions.