AI Driven Digital Transformation in the Architecture Industry with Technical Implementation and Business Process Optimization Review

Lin Yang

doi:10.70393/616a736d.323934

Authors

Lin Yang Beijing Institute of Architectural Design Co., Ltd

DOI:

https://doi.org/10.70393/616a736d.323934

ARK:

https://n2t.net/ark:/40704/AJSM.v3n3a07

Disciplines:

Business

Subjects:

Entrepreneurship

References:

28

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

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.

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Author Biography

Lin Yang, Beijing Institute of Architectural Design Co., Ltd

Beijing Institute of Architectural Design Co., Ltd, China.

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