Publication
Abstract
There is a big digital revolution emerging in architecture, driven by ML (Machine Learning) and AI (Artificial Intelligence). These technologies have brought the design–construction–building lifecycle process much closer to modern working methods, and they have complemented, rather than replaced, existing systems. In this article, we present an overview of AI-facilitated digital transformation in architecture, focusing on three key technologies: generative design, computer vision, and natural language processing (NLP), and showing how they improve businesses in both strategic and operational aspects. For a more tangible perspective, we showcase, through specific applications and emerging tools, how AI enhances design quality, efficiency, sustainability, and client experience. The report also highlights major barriers to AI implementation, from lack of data interoperability and skills shortages to company culture. This article demonstrates how AI is disrupting established architectural practices, and the ways in which its fusion with business models and market forces will shape the future of the built environment.
Keywords
Artificial Intelligence (AI) , Digital Transformation , Architecture Industry , Generative Design , Building Information Modeling (BIM) , Computer Vision , Natural Language Processing (NLP) , Business Process Optimization , Sustainability , Risk Management , Automation , Design Innovation .
Metadata
Subjects: Entrepreneurship
Cite This Article
APA Style
Yang, L. (2025). Ai driven digital transformation in the architecture industry with technical implementation and business process optimization review. Academic Journal of Sociology and Management, 3(3), 41-49. https://doi.org/10.70393/616a736d.323934
Acknowledgments
The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.
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INSTITUTIONAL REVIEW BOARD STATEMENT
DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
INFORMED CONSENT STATEMENT
CONFLICT OF INTEREST
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
AUTHOR CONTRIBUTIONS
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