Abstract
Artificial intelligence (AI) has emerged as a transformative force in architecture and construction, offering new methods for optimizing design, material selection, and building maintenance. Cultural centres, which serve as hubs of heritage, community, and creativity, face persistent challenges in balancing aesthetic expression with durability, sustainability, and lifecycle performance. Traditional approaches to material selection often fail to account for the complex interplay between environmental conditions, cultural symbolism, and long-term maintenance costs. This study aims to investigate how AI-driven strategies can enhance material selection and predictive maintenance in cultural centre design. Employing a qualitative methodology based on literature review and case study analysis, the research synthesizes findings from recent scholarship on AI applications in architecture, smart building systems, and lifecycle management. Results reveal that AI tools can simultaneously analyze material properties, environmental impacts, and lifecycle costs, enabling architects to make more informed decisions. Furthermore, predictive maintenance technologies powered by AI can forecast material degradation, optimize repair schedules, and reduce operational costs. The study concludes that integrating AI into cultural centre design not only improves sustainability and resilience but also strengthens the cultural and functional value of these buildings. The implications suggest that architects and designers should embrace AI as a strategic partner in achieving sustainable and culturally responsive architecture.