Not long before the coronavirus outbreak popular fears about AI algorithms and machines resulting in a jobless society were widespread. Concerns about the Covid-19 crisis accentuating automation have since then resurfaced. This study utilises a novel big dataset based on online job adverstisements that contains information on the skills and work activities required by EU employers. The data enable in-depth insight into the detailed skills and task profiles of narrow occupations that may be rendered automatable by machine learning algorithms. The paper provides useful input for the effective design of upskilling/reskilling policies that can facilitate adjustment to automation dynamics .