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AI Could Reduce Annual Carbon Footprint of The Built World by 50% by 2030

Proptech firm Pi Labs has launched a new research paper entitled: ‘Sustainably intelligent: AI for a greener built world’, which looks at the potential for AI to decarbonise the built environment - responsible for 40% of global carbon emissions.

By 2030, Pi Labs research reveals that just four AI use cases have the potential to reduce built-environment emissions by 5.81Gt to 6.46 Gt of CO2 greenhouse gas emissions annually. This is equivalent to the 2022 carbon footprint of the US (6.02Gt CO2).

The research was conducted by Luke Graham, head of research at Pi Labs. He joined Pi Labs from the University of Oxford’s Future of Real Estate Initiative where he continues as a lecturer. In 2023, Graham was selected to chair the UK Housing Minister’s PropTech Roundtable.

Pi Labs says that an industry-wide green transition is currently underway to halve emissions by 2030, and achieve net-zero before 2050, the goals necessary to secure the future health of the planet, according to climate scientists. With the built world responsible for 40% of overall emissions, it is frequently identified as critical to the planet’s decarbonisation drive. 

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