In a recent South China Morning Post analysis, author Vincent Chow argues that the United States and China are competing over more than semiconductor dominance: the next front in AI is full-stack integration. China’s leading tech firms, especially Alibaba, are pushing beyond being hardware consumers to becoming platforms that unify AI models, cloud infrastructure, data pipelines, and applications, says the South China Morning Post.
Alibaba’s CEO Eddie Wu used the company’s Apsara conference in September 2025 to sketch out that vision. He positioned Alibaba not just as a cloud provider, but as a “full-stack AI” powerhouse, offering open models (Qwen), cloud services, and system integration in a single package. His speech signaled China’s awareness that while chips are scarce and strategic, they alone don’t guarantee dominance.
Meanwhile, U.S. firms such as Nvidia are essential in supplying the hardware backbone, but the article suggests the true leverage lies with hyperscalers, i.e., companies that control the entire AI stack. If your firm owns the data, the models, and the cloud platform, you gain more influence than someone who only produces semiconductors.
China’s government backing amplifies this strategy. State support and policy tools encourage companies to coordinate across sectors, such as chip foundries, cloud computing, model development, and regulation, creating end-to-end AI ecosystems. The narrative is shifting: for China, catching up in chips is necessary but not sufficient without software and systems at scale.
For the United States, the lesson is clear: doubling down on chip manufacturing is essential, but if the rest of the stack lags, hardware strength may not translate into AI leadership. In effect, the race is now about platforms, not parts.