Empowering sustainable and affordable housing through Artificial Intelligence

The urgent need to deliver sustainable and affordable housing amidst escalating environmental and economic pressures presents a critical challenge for the built environment sector. This research discusses the problem of how current housing design practices often fail to balance environmental sustainability, affordability, and adaptability to future demands. It investigates the transformative potential of Artificial Intelligence (AI) in bridging this gap, particularly by enhancing resource efficiency, minimising construction and demolition (C&D) waste, and supporting circular economy principles. Through a structured thematic approach and case study analyses, the study identifies how AI-driven design optimisation, predictive energy modelling, and intelligent material selection can significantly advance sustainable housing outcomes. Key findings suggest that AI applications can streamline design processes, reduce overall project costs, and create more adaptable, personalised living environments that meet diverse community needs. By integrating AI with green building practices and circular economy strategies, the research proposes a new framework for the housing sector that fosters environmental responsibility, economic accessibility, and resilience to climate change.