In September 2026, after a lapse of 12 years, the APEC Energy Ministers Meeting restarted in China. This is the 16th APEC Energy Ministers Meeting, and the first time “artificial intelligence+energy” has been listed as an official topic. The reason behind this is that global AI computing power centers consume electricity at an alarming rate, and energy supply has become a common proposition that all major economies cannot avoid when developing AI. The “dark energy battle” of this AI competition is redefining the connotation of national competitiveness. America is “returning to fossil energy.” The IEA predicts that in 2026, US investment in coal and natural gas power generation could reach 50 billion US dollars to meet the electricity needs of artificial intelligence infrastructure. Europe's path is essentially a difficult balance between “rules” and “infrastructure,” “green transformation,” and “computing power expansion” — nuclear energy and green power are its bottom cards, but power grids don't give time; standards are its long board, but infrastructure is lagging behind. China, on the other hand, has chosen another path — developing “green electricity” to meet the electricity needs of artificial intelligence computing power, while speeding up the construction of a new energy system to provide energy products and comprehensive energy services that match the logic of industrial intelligence, integration, and greening characteristics to respond to the electricity needs of computing power centers. The “world-class bottom card” in China's hands is not that it has built a few more data centers than others. Instead, it has used a complete new energy system to firmly hold the energy base of computing power in its own hands.

In September 2026, after a lapse of 12 years, the APEC Energy Ministers Meeting restarted in China. This is the 16th APEC Energy Ministers Meeting, and the first time “artificial intelligence+energy” has been listed as an official topic. The reason behind this is that global AI computing power centers consume electricity at an alarming rate, and energy supply has become a common proposition that all major economies cannot avoid when developing AI. The “dark energy battle” of this AI competition is redefining the connotation of national competitiveness. America is “returning to fossil energy.” The IEA predicts that in 2026, US investment in coal and natural gas power generation could reach 50 billion US dollars to meet the electricity needs of artificial intelligence infrastructure. Europe's path is essentially a difficult balance between “rules” and “infrastructure,” “green transformation,” and “computing power expansion” — nuclear energy and green power are its bottom cards, but power grids don't give time; standards are its long board, but infrastructure is lagging behind. China, on the other hand, has chosen another path — developing “green electricity” to meet the electricity needs of artificial intelligence computing power, while speeding up the construction of a new energy system to provide energy products and comprehensive energy services that match the logic of industrial intelligence, integration, and greening characteristics to respond to the electricity needs of computing power centers. The “world-class bottom card” in China's hands is not that it has built a few more data centers than others. Instead, it has used a complete new energy system to firmly hold the energy base of computing power in its own hands.