豆包手机触碰了大厂APP的“逆鳞”
3 6 Ke·2025-12-15 23:28

Core Viewpoint - The emergence of Doubao AI phone has sparked significant interest in the potential of AI agents as a new entry point in the internet ecosystem, but it faces immediate backlash from major internet companies due to security and operational concerns [1][2][3]. Group 1: Doubao AI Phone and Its Features - Doubao AI phone allows users to perform complex cross-application operations through an integrated AI agent, enhancing user experience [1]. - Users reported issues with accessing major applications like WeChat and Alipay shortly after the phone's launch, indicating a significant reduction in functionality [2]. - The phone's initial appeal diminished as it could no longer utilize its AI capabilities effectively with popular apps, leading to a decline in user experience [2]. Group 2: Industry Response and Competition - Industry insiders expressed a lack of surprise at the backlash against Doubao, with Tencent attributing the issues to existing security measures [3]. - The competition for the next generation of traffic entry points among internet giants is intensifying, with companies like Alibaba and Tencent scrambling to establish their AI applications [4][5]. - Doubao's rapid rise in daily active users (DAU) highlights its initial success, but subsequent declines in user engagement raise questions about its sustainability [6]. Group 3: The Shift in User Engagement and Advertising - The dominance of major apps like Taobao and WeChat has led to a high concentration of user traffic, creating a "traffic anxiety" among internet companies [4][5]. - The introduction of GUI agents, which can operate apps without user interaction, threatens traditional advertising revenue models by bypassing app usage [13][15]. - The growth of AI assistants among smartphone manufacturers indicates a shift in the value chain from internet companies to hardware manufacturers [16]. Group 4: Future Implications and Developments - The release of Doubao AI phone has prompted other companies to accelerate their development of AI agents, with a focus on creating competitive products [19][20]. - The open-sourcing of AI agent models could democratize access to this technology, potentially leading to a proliferation of personalized agents that challenge established players [21]. - The urgency for internet giants to adapt and innovate in response to the evolving landscape of AI applications is becoming increasingly critical [22].