07.05.2026 11:45

The Anticipated City:

AI Foundation Models as Archives of Urban Expectation

From Renaissance ideal cities to modernist plans, from speculative megastructures to smart-city visions, from fictional urban worlds to the cities of video games, the anticipated city forms a vast archive of collective urban imagination. And the form of this archive has just emancipated and evolved into something that demands our attention. Multimodal foundation models are now no longer only tools for analyzing that archive, but have themselves become one of its contemporary forms. Trained on immense corpora of images and texts, they absorb and reorganize real, imagined, projected, and simulated cities into new constellations of resemblance, plausibility, and value.

Moreover, I ask how models reshape the relation between accumulated urban experience and anticipated urban futures. What happens when centuries of idealization, projection, fear, and desire are compressed into the operative memory of the model? On the one hand, this process risks narrowing the horizon of expectation, reducing novelty to recombination and pulling diverse urban imaginaries toward what is already legible and familiar. On the other hand, it may also reveal unexpected affinities, dormant lineages, and strange proximities across times, media, and ideologies.


Darío Negueruela
Max-Planck Society / University of Zurich

Dr. Dario Negueruela del Castillo leads the Center for Digital Visual Studies since 2020 and is Scientific Coordinator of the International Max Planck Research School for Multimodal Digital Humanities since 2026, both Max Planck Society funded projects, hosted at the University of Zurich. From 2017 to 2019, he held the position of Head of Research at the ALICE lab at EPFL, where he earned his PhD in 2017 with a dissertation entitled “The City of Extended Emotions.”

Dr. Negueruela del Castillo’s current research focuses on the implicit urban theory of Foundation Multimodal AI Models.  through his project “Clip and the City,” which examines how to leverage these models’ general learner capacities for urban analysis. He is also actively involved in the critical spatial curation of large collections using AI, demonstrated in his project “Newly Formed City” for the Helsinki Biennial.  His research spans architecture, urbanism, affect, and spatial and visual perception with an emphasis on imagination and spatial agency. Among others his current projects ‘On the Urbanity of Images’ and ‘Multimodality and Digital Apophenia’  explore the processes of machinic imagination, mimesis. and love and artificial desire.

In addition, Dr. Negueruela del Castillo is the co-founder, along with Shin Koseki, of Data Think and AI&Cities, research and educational platforms dedicated to critical and creative approaches to data, AI  and their intersection with cities and urban society.