Competition or ‘co-opetition’: how convergence is shaping Sino‑US AI race

Convergence amid competition

The South China Morning Post has framed a key tension at the heart of the Sino‑US AI rivalry: companies on both sides are increasingly converging on similar technologies and business models even as governments harden lines around national security and trade. Chinese tech giants such as Baidu (百度), Alibaba (阿里巴巴) and Tencent (腾讯) are investing heavily in large language models and cloud AI services that mirror work by OpenAI, Google and Microsoft, while Western firms continue to engage with Chinese markets and research communities where feasible. The result is not a simple race to outrun the other but a messy mix of competition and collaboration — co‑opetition.

Geopolitics and the limits of decoupling

That commercial convergence is unfolding against an active geopolitical backdrop. Washington has tightened export controls on advanced AI chips and tools with the explicit aim of slowing China’s access to cutting‑edge hardware. It has been reported that those controls are prompting Beijing to accelerate domestic chip programs and to lean on companies such as Huawei (华为) to build substitutes, but full parity remains years away. At the same time, open‑source models, academic exchanges and multinational supply chains make a total technological decoupling extremely difficult. Can either side fully isolate its AI ecosystem without sacrificing competitiveness?

The consequence is a hybrid landscape: intensified rivalry in areas deemed sensitive, accompanied by continued technical cross‑pollination where commercial incentives and open research norms persist. Policymakers will keep wrestling with how to balance security with innovation; companies will keep navigating both cooperation and confrontation. Observers should expect an era defined less by binary separation and more by selective decoupling and strategic co‑existence.