According to CoinMeta, the construction of artificial intelligence in the United States is facing a bottleneck in power supply. As AI technology gradually takes hold and improves production efficiency, the U.S. has seen a boom in AI infrastructure construction over the past two years. However, power supply has become the new bottleneck restricting industry development, replacing chips as the limiting factor. Industry data shows that there are already thousands of data centers in operation in the U.S., but most of them are relatively small in scale. Super-large cloud computing service companies' recent data center projects require power capacities of over 1 gigawatt or even 10 gigawatts, which the existing power grid is unable to meet in the short term. The Lawrence Berkeley National Laboratory, part of the U.S. Department of Energy, predicts that by 2030, data center electricity consumption could account for 11.8% of the total electricity consumption in the U.S.