Alibaba says it will spend ~$431M in a Lunar New Year campaign from February 6 to attract users to its Qwen AI app, above Tencent's ~$143.7M and Baidu's ~$71.8M
Alibaba (9988.HK) said on Monday it will spend 3 billion yuan ($431 million) to attract users to its Qwen AI app during the Lunar …
Context & Ripple Effects
Alibaba had already repositioned Tongyi as Qwen with agentic shopping ambitions, then connected the app to Taobao, Alipay, travel and mapping services. The campaign puts paid consumer acquisition behind that distribution strategy.
It also escalates a crowded Chinese AI-app promotion market: prior coverage documented substantial chatbot advertising outlays across several developers, while Alibaba and Tencent paired new models with Lunar New Year giveaways.
First-order effects
- Alibaba commits a far larger Lunar New Year acquisition budget than the reported Tencent and Baidu campaigns, making Qwen’s user-growth push the most heavily funded of the three.
- Qwen users are immediately the target of incentives and promotion, while Alibaba must convert that paid attention into use of the app and its connected services.
Second-order effects
- Tencent and Baidu face pressure to defend AI-app visibility during the holiday window through their own promotions, product releases, or distribution channels rather than competing on models alone.
- The spend increases the value of Alibaba’s commerce, payments, travel and map integrations: those services give the company places to turn app engagement into repeat utility after the campaign ends.
Third-order effects
- If such campaigns persist, China’s consumer-AI contest may be shaped increasingly by the cost of distribution and ecosystem integration, not only by model quality.
- Short-term subsidies can establish usage habits, but their durability will depend on whether integrated services lower the cost per useful task enough to reduce reliance on paid acquisition.
The trend: Consumer AI platforms are moving from model launches toward subsidized distribution campaigns designed to seed recurring, service-linked usage.