Geographers have studied digital technology through lens such as political economy (Alvarez Leon 2021), smart cities (Kitchin 2014) and platform urbanism (Leszczynski 2020). Based in approaches such as Actor Network Theory (ANT), assemblage theory, and political economy, these studies have explored the connection between technology and society while treating human and social actors on an equal footing. However, phenomena like Artificial Intelligence (AI) poses additional challenges for study. Once implemented in organizations, particularly government, technologies like AI are subject to forces of power and control at multiple levels of organization. In government, AI implementation may be subject to national directives, agency-level strategies, and government-vendor relations. Object or artifact framings of AI can be insufficient at capturing the entire set of relations that make up a system. I argue that studies of technology (like AI) should take more account of centrality, hierarchy, and the influence of material (such as hardware and software). Through an overview of literature, I argue for sociomateriality, specifically relationality (Bailey et al. 2022), as an approach to interrogate the nature, hierarchy, and relative importance of social and material dimensions of AI within its implementation context. Alvarez Leon, Luis F. 2021. “AI and the Capitalist Space Economy.” Space and Polity 25 (2): 220–36. https://doi.org/10.1080/13562576.2021.1985852. Bailey, Diane E., Samer Faraj, Pamela J. Hinds, Paul M. Leonardi, and Georg von Krogh. 2022. “We Are All Theorists of Technology Now: A Relational Perspective on Emerging Technology and Organizing.” Organization Science 33 (1): 1–18. https://doi.org/10.1287/orsc.2021.1562. Kitchin, Rob. 2014. “The Real-Time City? Big Data and Smart Urbanism.” GeoJournal 79 (1): 1–14. https://doi.org/10.1007/s10708-013-9516-8. Leszczynski, Agnieszka. 2020. “Glitchy Vignettes of Platform Urbanism.” Environment and Planning D: Society and Space 38 (2): 189–208. https://doi.org/10.1177/0263775819878721.