BlockBeats News, March 3rd, Huawei's ICT BG CEO Yang Chaobin delivered a keynote speech at the Mobile World Congress today, stating that the global daily Token consumption has increased nearly 300 times in the past two years, triggering AI applications such as lifelike video and smart shopping, with over 30 million AI Agents worldwide collaborating.
Against the backdrop of Yang Chaobin's speech today, the current surge in global calls to China's domestically produced large-scale model API and Token outflow driving the expansion of computing power have led to a sharp increase in power demand. Yesterday, Musk retweeted a post stating, "Power production is the best single measure of industrial capacity." China's electricity generation in 2024 is about 100 trillion kilowatt-hours, 40% more than the combined total of the United States and the European Union (27 countries). China's electricity generation surpassed the EU around 2007 and the United States around 2010. Electricity generation not only represents industrial strength but has also become a hardcore indicator of computing power, directly determining the ceiling of AI development. Among the three major bottlenecks of AI scaling—chips, power, and transformers—the global data center power shortage will be the first to arrive.
As the U.S. continues to impose tariffs and blockades, a single physical blockade is gradually losing its effectiveness. The U.S. can block logistics but it is difficult to restrict the continuous supply of low-cost electricity-produced Tokens to the global market. Recently, the subscription-based AI programming package GLM Coding Plan under Zhidao's umbrella was launched and immediately sold out. China's domestically produced AI programming model paid subscription package, a rare sight, was quickly sold out. The Kimi K2.5, after its release, took only a week to climb to the top of the global large-scale model API aggregation platform OpenClaw's call list, overshadowing giants like Gemini and Claude. China's domestically produced large-scale models are using low prices as a catalyst, coupled with high performance to drive user retention, bringing a price-performance double kill to the AI market.
Outside of the intensifying China-US AI competition, Token outflow has also brought mutual benefit and common development, with China's low-cost Token indirectly alleviating U.S. inflation for the second time. In the 2000s, China's product exports relied on cheap labor and textiles, and today they rely on low-cost Tokens. With a stable supply of only $0.1 per million Tokens, it serves as an invisible subsidy supporting Silicon Valley's application layer.
