How can AI facilitate real-time decision-making in smart building design and urban planning?

This paper investigates how Artificial Intelligence (AI) facilitates real-time decision-making in smart building design and urban planning, marking a significant evolution from traditional static processes to dynamic, data-driven, and context-aware approaches. AI applications in smart buildings enable instantaneous analysis and automated control of environmental systems, predictive maintenance, and security, resulting in optimized resource use, enhanced occupant comfort, and improved operational efficiency. In urban planning, AI empowers planners to simulate scenarios, model infrastructure impacts, automate regulatory compliance, and engage citizens, thereby accelerating planning cycles and elevating sustainability outcomes. The study synthesizes recent academic research, industry analyses, and practical case studies to illustrate the transformative impact of AI, supported by quantitative improvements in energy efficiency, cost reduction, and regulatory adherence. The paper also addresses current challenges, including data quality, privacy, ethical considerations, and interoperability across legacy systems. By presenting a holistic conceptual framework and evidence-based analysis, the research highlights both the opportunities and complexities inherent in AI adoption. Ultimately, the findings underscore AI’s critical role in shaping adaptive, sustainable, and inclusive environments for the cities and buildings of the future.