AI Driven Digital Transformation in the Architecture Industry with Technical Implementation and Business Process Optimization Review
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.
Authors
- Yang Lin (ORCID: https://orcid.org/0000-0001-9166-7844)
Institutions
- Beijing Institute of Architectural Design (China) (CN)
Publication Details
- Journal
- Academic Journal of Sociology and Management
- Published
- 2025-05-15
- DOI
- https://doi.org/10.70393/616a736d.323934
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00