The city, as we know it, is no longer a static entity to be mapped, surveyed, or simply built. Cities are changing into multifaceted, data-driven, self-reflexive dynamic organisms in the era of interconnected systems and escalating climate catastrophes. The digital twin, a living, learning model of the urban environment driven by streams of real-time data and enhanced by AI, is at the front of this progress. Digital twins have transcended their industrial roots and are transforming urbanism itself. Previously, they were only used in advanced manufacturing and aerospace (Li, X. S. (2024). Building digital twin metaverse cities: Revolutionizing cities with emerging technologies. Singapore: Springer Nature.). What started out as a technique to simulate the performance of a jet engine has evolved into a revolutionary tool for predicting future events, modelling urban complexity, and creating adaptive solutions to problems at the planetary scale.