# How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

## TL;DR

This paper explores how AI is transforming sustainable building design to address climate change, emphasizing the need for technical, regulatory, and practical integration.

## Contribution

The paper introduces the AI-Climate-Building Integration (ACBI) framework to guide effective AI deployment in climate-responsive architecture.

## Key findings

- AI technologies like foundation models and generative systems are reshaping architectural practices for climate resilience.
- The ACBI framework highlights the importance of integrating technical, climate, and governance aspects for successful AI implementation.
- AI offers transformative potential in optimizing building performance and climate response across design lifecycle phases.

## Abstract

Faced with climate change challenges, artificial intelligence (AI) is redefining the way of sustainable building design. In this work, how AI technologies, including foundation models and generative systems, are reshaping architectural practice in responding to climate change is discussed. We explored how large language models, multimodal systems, and automated design generation have evolved from traditional computational methods, and the transformative potential of these novel approaches, especially when dealing with climate change challenges. While AI holds powerful tools for sustainable architecture, we argue that the successful implementation of those tools requires careful integration of technical capabilities, practice frameworks, and regulatory considerations. To advance AI‐driven sustainable building design while providing effective future climate response, research priorities and policy recommendations are put forward in this study.

This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization. They propose the AI‐Climate‐Building Integration (ACBI) framework, establishing technical, climate response, and governance pillars essential for deploying AI tools effectively in climate‐responsive architecture.