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Summary (English)This dissertation examines the mechanisms driving the geographical diffusion of Artificial Intelligence through four papers.Despite the significant attention that Artificial Intelligence has received in recent years and its prominence in both public and research discourse, there are still many aspects of Artificial Intelligence where we lack the necessary knowledge. There is a generally established consensus that the diffusion of new technologies, which refers to their geographical spread and adoption among companies and individuals, has a stronger societal impact than the invention of new technologies. However, researchers and policymakers primarily focus on the latter, leaving a significant knowledge gap regarding the mechanisms underlying the potentially uneven diffusion of Artificial Intelligence.This dissertation aims to address this knowledge gap by examining the following research question: How does the regional context influence the rate and direction of the diffusion of Artificial Intelligence across regions??The dissertation focuses mainly on traditional/statistical Artificial Intelligence, typically used to create algorithms to make predictions, recommendations, and decisions from outside a given data set.The dissertation approaches how AI technology diffuses spatially from an evolutionary economic theoretical perspective. This entails that how individuals and firms in different regions learn about and ultimately adopt new technology is geographically path dependent, meaning that technology adoption is influenced by several local factors -e.g., regional institutions, resources, capabilities, and the technology already in use -that are self-reinforcing over time. The existing resources in the region, such as worker skills and their experience working with different types of technology, influence the knowledge and learning about new technology that firms can engage with, which in turn affects the demand for diverse resources, experience, and knowledge related to adopting and using the new technology, and thus the mutual relationship continues. The dissertation tests this assumption in the dissertation's four papers focusing on the Danish case. Paper A serves as a preliminary study for the thesis as it develops a new v Contents Academic curriculum vitae iii Summary (English) v Resumé (Dansk) ix Preface xvii List of acronyms xxi I Synopsis 1