AI impacts Danish labor market through training gaps and hiring shifts

New analyses highlight the complex impact of artificial intelligence on the Danish labor market. According to a study by DM’s Member Panel, 80% of workers feel they lack sufficient training for AI use, and 40% report spending extra time correcting AI-generated errors. Approximately 32% of respondents have encountered errors that could or did have serious consequences. Employees also expressed concerns regarding the potential erosion of professional expertise and weakened workplace collaboration.

In contrast to concerns about AI-driven hiring slowdowns, Copenhagen School of Professionalism (KP) reports a significant decrease in graduate unemployment. The unemployment rate for KP graduates has halved over the last decade, dropping from 6.7% to 3.3% for the 2023 cohort. While Nationalbanken analysis suggests that companies adopting AI may hire fewer new employees—particularly affecting younger and highly educated workers—KP Rector Anne Vang Rasmussen notes that high demand remains for professions centered on human relations, judgment, and communication, such as nursing and teaching.