ABSTRACT Digital twin technology, continuously updated, high‐fidelity virtual replicas of physical assets, has matured rapidly in aerospace and is now poised to transform construction in extreme environments on Earth and beyond. This Opinion Article synthesises recent research, global case studies, and policy developments to argue that digital twins are pivotal for planning, autonomous execution, and predictive infrastructure maintenance on the Moon, Mars, the deep ocean, polar regions, and remote deserts. By coupling real‐time sensor data with physics‐based and AI‐driven simulation, twins enable risk‐free prototyping, swarm‐robot coordination, and lifecycle resilience while reducing environmental footprints. We highlight strategic implications, data‐governance frameworks, workforce upskilling, and federated twin ecosystems and forecast emerging trends such as AI‐enhanced autonomy, XR interfaces, and smart‐material feedback loops. The article aims to inform multidisciplinary researchers, engineers, and policymakers by advocating the early adoption of digital twin standards to accelerate sustainable resilient construction in the most challenging frontiers.
Ehsan Noroozinejad Farsangi (Thu,) studied this question.