AI's capacity to initiate energy use reductions and decarbonization of the building sector was documented recently by researchers at the Lawrence Berkeley National Laboratory. A new study of medium-sized office buildings in the United States revealed the potential for an 8% emissions reduction by 2050. An up to 20% reduction of annual on-site energy costs can also be achieved through widespread augmentation combined with other emerging technologies such as robotics. 

Utility Dive, which first reported on the paper's publication, summarized its findings further: "Adopting AI in [one] scenario can help reduce energy consumption and CO2 emissions by roughly 19% in 2050, compared with the policy scenario without AI."

This comes on the heels of the General Service Administration's announcement of $9.6 million in new grant funding to test AI-augmented products and other emerging building technologies as part of its Green Proving Ground program.