In the paradigmatic shift from analogue to digital technologies (data communication, storage and AI) and from an industrial to a digital society, normativity changes from being connected to the use of technology to becoming an integral part of the technology as such1. This has both positive and negative effects. AI is used for decision-making, learning and performing tasks based on data, where the data are often complex, ambivalent and difficult to interpret. Areas that require some form of stability, clear goals, measurability and long-term vision can be expected to use AI in the future. Examples include fully or partially automated banks (both private and national banks) and automated systems for diagnostics and treatment (for example for diabetics). Some state bodies, such as customs, the police, fire brigades, roads and transport authorities, could be more data-driven and use AI to improve their ability to make the right decisions, for instance when optimizing budgets, maintenance and expansion and to develop the kind of skills and measures needed to achieve political goals. This expected development would not affect regulation of AI as such. © The Authors and IRI 2022