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.

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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
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article

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

Yang Lin
Academic Journal of Sociology and Management
Digital Transformation in Industry
article

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

Yang Lin
article en

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.

Academic Journal of Sociology and ManagementVol. 3(3)
Beijing Institute of Architectural Design (China) (CN)
Openalex Percentile: Top 86%
Digital Transformation in Industry
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