Artificial intelligence could reduce the annual carbon footprint of the built world by 50 % by 2030.

The report found that between 5.81 and 6.46 gigatons of CO2-e greenhouse gas (GHG) emissions could be avoided annually by 2030 if just four AI use cases were adopted across the industry. Pi Labs says this would offset the entire annual carbon footprint of the United States — the world's second largest producer of greenhouse gases — based on 2022 data.

After reviewing 68 sustainability-oriented AI use cases across the value chain, the following were selected for analysis using proprietary and public data; reducing raw material inputs through generative design, preventing structural rework using 3D AI analytics, reducing building energy use using AI-enabled smart building technology, and redirecting demolition waste using AI-enabled waste material analysis. (Catrin Jones, Deputy Editor International Construction & Construction, More at  constructionbriefing.com)

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