BIM AND AI INTEGRATION FOR SMART AND SUSTAINABLE INFRASTRUCTURE: A COMPREHENSIVE REVIEW OF TRENDS, TECHNOLOGIES, AND FUTURE DIRECTIONS

The convergence of Building Information Modelling (BIM) and ArtificialIntelligence (AI) is transforming the architecture, engineering, and construction (AEC) industry by enabling smarter, more efficient, and sustainable infrastructure solutions.This review paper presents a comprehensive analysis of recent developments, tools, applications, and challenges in the integration of BIM and AI.It discusses how AI methods such as machine learning, computer vision, natural language processing, and generative design are used to facilitate a greater set of BIM capabilities in project planning, energy optimization, predictive maintenance, and digital twin modelling.The paper indicates major obstacles like interoperability between data, technological complications, resource scarcity, and corporate resilience which still impede its massive engagement.By applying a structured literature review methodology, the paper synthesizes existing research to highlight current trends and emerging opportunities.Future research directions are also described in terms of the development of standardized integration frameworks, explainable AI models, real-time analytics, and Mohanraj Arumugam https://iaeme.com/Home/journal/IJCIET27 editor@iaeme.comeffective policy support.The findings emphasize that the synergistic integration of BIM and AI is critical for advancing intelligent, adaptive, and sustainable infrastructure systems in the era of digital transformation.