# A Review of Artificial Intelligence in Enhancing Architectural Design Efficiency
###### Abstract  
At present, Artificial Intelligence (AI) technology is developing rapidly, and the construction industry is facing three major trends: industrialization, greening, and digital intelligence. This paper explores the application of AI technology in the field of architectural design and its impact on design efficiency, with 1810 articles screened from the Science Direct, Web of Science, Scopus, and China National Knowledge Network (CNKI) search engines, 92 of which were selected for meta-analysis and review. The results show that AI has great potential in the architectural design process, including creative development, data analysis, and problem-solving. In addition, AI has other applications throughout the building lifecycle, such as predictive analytics, construction supervision, and facility maintenance. In addition, through the discussion of traditional architectural design methods and AI-driven architectural design methods, this paper summarizes the advantages and challenges of AI technology in architectural design. Finally, through case analysis, this paper believes that the future of AI in the field of construction is full of infinite possibilities; through the correct guidance and regulation of its development, it will certainly bring more innovation and progress for the construction industry. artificial intelligence (AI); architectural design; parametric design; AI-assisted design; human-machine collaboration 2020 IEEE/RSJ International Conference on Intelligent Systems (IEEE), 2020  
Therefore, Artificial Intelligence (AI) technology not only optimizes processes but also improves efficiency for traditional building design. Through machine learning, natural language processing, and algorithm optimization, AI assists designers in making faster and more accurate decisions in areas such as creative exploration, data analysis, and problem-solving. Additionally, parameterized design enhances the innovation and quality of design solutions. At the same time, the application scope of AI is not limited to the early design process, but it can also support the entire lifecycle of the building [2], covering project prediction analysis, construction supervision, and continuous facility maintenance [3]. This comprehensive integration of AI technology can promote the development of the built environment toward greater intelligence and sustainability. Finally, in the face of the meta-universe [4], how to let AI give full play to its potential in architectural design to revitalize the construction industry remains an open question. This paper reviews the traditional architectural design methods, summarizes cutting-edge AI technologies in construction, analyzes AI's impact on design efficiency, identifies potential challenges, and explores future prospects. AI technology is now at a critical juncture of rapid development, with the rise of Generative Artificial Intelligence (GAI) signaling transformative changes in visual, artistic, and language-related fields across various industries [5]. These technologies have moved beyond the experimental phase into commercial applications, demonstrating immense potential. In the future, GAI is expected to expand into areas like building information modeling and intelligent design, critical to the complex construction industry, fostering creativity and innovation [6]. Amidst market shifts and emerging influences, the construction industry faces three major trends: industrialization, green development [7], and digital-intelligent transformation [8]. Industrialization emphasizes modular, automated construction methods [9], while green development focuses on lifecycle energy conservation and the use of sustainable materials [10]. Digital-intelligent transformation integrates digitization and intelligent systems, leveraging technologies like GAI to optimize processes and enhance value creation. AI's evolution from rule-based systems to large-scale models is accelerating the digital-intelligent transformation of the construction sector.