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. © 2026 The Author(s). Advanced Science published by Wiley-VCH GmbH.
| Original language | English |
|---|---|
| Article number | e23238 |
| Number of pages | 25 |
| Journal | Advanced Science |
| Volume | 13 |
| Issue number | 13 |
| Online published | 31 Jan 2026 |
| DOIs | |
| Publication status | Published - 3 Mar 2026 |
Funding
This work was partly supported by the Shenzhen Fundamental Research Program (JCYJ20250604180231041).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
Research Keywords
- artificial intelligence
- building simulation
- climate change
- foundation model
- sustainable building
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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