Abstract
The chapter focuses on how new automation technologies are affecting the skills of employees and their form of work organisation. The analysis makes use of unique data from the 2019 Danish TASK Survey carried out at the employee level which measures work organisation, skills gaps and forms of training for employees using robots, artificial intelligence and machine learning (AI/ML) in their daily work activity. The analysis goes deeper into the effects of robotics and AI/ML for individual workers than previous studies and has policy implications for the performance of the Danish national system of innovation by identifying sectors and occupations that could potentially benefit from increased investments in training for skills development.