Beyond the well-known semiconductor race, the AI competition is shifting to energy. China's massive, cheaper electricity production is a significant, often overlooked strategic advantage. This redefines the AI landscape, suggesting that superiority in atoms (energy) may become as crucial as superiority in bytes (algorithms and chips).
Beyond the US-China rivalry, a new front is opening between Brussels and Beijing. Incidents like the French suspension of fashion retailer Shein are not isolated but symptomatic of growing European mistrust and a willingness to take action. This signals a potential fracturing of global trade blocs and increased regulatory risk for Chinese firms in the EU.
By coining the term 'low altitude economy,' China is signaling a deliberate, top-down industrial strategy to own the market for autonomous flying vehicles (EVTOLs) and delivery drones. This isn't just about a single company; it's about creating and regulating a new economic sector to establish a global manufacturing and operational lead.
China is compensating for its deficit in cutting-edge semiconductors by pursuing an asymmetric strategy. It focuses on massive 'superclusters' of less advanced domestic chips and creating hyper-efficient, open-source AI models. This approach prioritizes widespread, low-cost adoption over chasing the absolute peak of performance like the US.
China's showcase of advanced military hardware, like its new aircraft carrier, is primarily a psychological tool. The strategy is to build a military so 'forbiddingly huge' that the US would hesitate to engage, allowing China to achieve goals like reabsorbing Taiwan without fighting. This suggests their focus is on perceived power to deter intervention.
A historical indicator of a superpower's decline is when its spending on debt servicing surpasses its military budget. The US crossed this threshold a few years ago, while China is massively increasing military spending. This economic framework offers a stark, quantitative lens through which to view the long-term power shift between the two nations.
While the US pursues cutting-edge AGI, China is competing aggressively on cost at the application layer. By making LLM tokens and energy dramatically cheaper (e.g., $1.10 vs. $10+ per million tokens), China is fostering mass adoption and rapid commercialization. This strategy aims to win the practical, economic side of the AI race, even with less powerful models.