U.S. and Chinese tech companies are adopting different strategies to bring AI agents to consumers. OpenAI’s recently released dots and Meta’s Muse are designed around an assistant-first model and then deployed to interact with other companies’ websites and services. By contrast, Chinese counterparts such as Tencent’s Xiaowei are integrated directly into super-apps like WeChat and can, for example, place orders from businesses already present on the app.
Advantages and limits of closed super-app ecosystems
For closed systems such as WeChat and Alipay the super-app integration is an obvious approach, because Chinese consumers already use these platforms for much of daily life. However, the Hello China Tech newsletter noted that Xiaowei’s strategy may not translate into direct revenue for Tencent: the company does not earn new fees from purchases, and early tests have shown it making mistakes. This raises the question whether the super-app strategy constrains how useful Chinese agents can become, since Xiaowei can only assist with services available inside WeChat and other Chinese platforms have blocked agents from outside.
Open assistants and privacy/access trade-offs
Muse and dots may not deliver a seamless experience either: Muse has already been blocked by Amazon, and both models typically require users to grant access to private systems and services. Nevertheless, the popularity of Meta’s and OpenAI’s offerings suggests that markets are watching closely as these models evolve.
Outlook
The two paths — assistant-first, external integration models in the U.S. versus super-app integration in China — involve different trade-offs around usefulness, monetization and platform control. Which approach will lead to broader adoption and sustainable business models remains to be seen.
— J.D. Capelouto
