Summary of Key Points
Baidu has successively launched two AI office products within half a month: "Dazzi" and "KukuAI." Both are positioned as comprehensive AI office tools designed for both individual and enterprise users, with their own standalone clients. However, they belong to different business units within Baidu (Dazzi under the Intelligent Cloud division, and KukuAI under the Personal Super Intelligence division), despite having significant overlapping functions. In contrast, companies like Tencent, Alibaba, and ByteDance have already integrated their internal AI office products to focus on a single, unified platform. Baidu's dual-track approach, while leveraging different resource strengths, may result in a competitive disadvantage due to the dispersion of efforts and the lack of a cohesive office ecosystem. If Baidu does not quickly establish a unified platform, it could miss out on market opportunities.
1. Similarities and Differences Between the Two Products
Although both Dazzi and KukuAI are AI office tools, they differ in their origins and focuses:
- Dazzi: Emphasizes practical functionality, such as the ability to execute tasks across various software applications (local files, Office/WPS, browsers), and integrates with enterprise systems like OA and CRM. It is part of the Intelligent Cloud division and leverages Baidu's cloud computing power and enterprise customer base.
- KukuAI: Evolved from document libraries and cloud storage services, focusing on content creation and professional tasks (generating reports, PPTs, creating posters, and videos). It belongs to the Personal Super Intelligence division and benefits from a base of 40 million paid document library users and revenue from cloud storage services.
For end-users, the functions of the two products are largely indistinguishable; both can be used for document creation, PPT production, and data processing, with enterprise versions offering additional features like permission management and knowledge management. It's like having two chefs in the kitchen—one skilled in stir-frying and the other in making soups, but now both can prepare a full range of dishes, leaving users unsure which one to use.
2. Established Players vs. New Entrants
- KukuAI: A veteran in the AI office space, having started using large models to enhance its document library and cloud storage services in 2023. It launched GenFlow in 2025 and was renamed in August, with over 25 million monthly active users and more than 100 million monthly tasks by that time, demonstrating a three-year presence in the market.
- Dazzi: A newcomer, which began development only after the Spring Festival of 2026 and was launched in just three weeks as a rapid response from Baidu's Intelligent Cloud division to competitors like Tencent WorkBuddy. Baidu invested heavily in this product, merging internal teams and getting high-level support from executives like Shen Dou, as well as launching an enterprise version and a partnership initiative.
The presence of both products reflects a competitive situation, with neither team willing to concede its advantages, leading to a dual-track approach by Baidu.
3. The Battle of Business Units
The coexistence of Dazzi and KukuAI is due to the strong capabilities of their respective business units:
- Intelligent Cloud Division: Generated 7.3 billion yuan in AI cloud revenue (58% of Baidu's AI business) in the second quarter, with a 283% increase in GPU cloud services. This division has the financial resources, computing power, and enterprise customer base needed to integrate Dazzi with business systems.
- Personal Super Intelligence Division: Possesses a large user base for its document library services and has seen a 120% increase in revenue from AI features, as well as a 90% increase in daily active users for its cloud storage AI services. These resources are crucial for the independent development of KukuAI.
In summary, both teams have their own financial support and user bases, making it difficult for Baidu to merge the two products immediately.
4. Comparison with Leading Companies
Tencent, Alibaba, and ByteDance have already consolidated their AI office products under a single platform:
- Tencent: Integrated QClaw into WorkBuddy.
- Alibaba: Combined QoderWork, Wukong, and MuleRun into Qianwen Office.
- ByteDance: Integrated Feishu into Doubao Work.
Baidu's main challenge is the lack of a native office ecosystem. While platforms like DingTalk, WeCom, and Feishu have a large user base (26 million, 14 million, and 30 million monthly active users, respectively), Baidu's Ruliu (formerly Baidu Hi) has not been successful. As a result, users of Dazzi must log in using accounts from these platforms, limiting Baidu's ability to establish a strong presence in the market.
Additionally, Baidu's Intelligent Cloud holds only 10% of the MaaS (Machine as a Service) market for large models (compared to 49.5% for Huoshan Engine and 28% for Alibaba Cloud), indicating that fewer enterprise customers use Baidu's AI services, making it harder to promote Dazzi.
5. The Risks of a Dual-Track Approach
While internal competition can be beneficial, the external market only recognizes one dominant player:
- The more mature the products become, the more costly any integration will be. Forging users and resources between the two products would be challenging, especially considering the different KPIs and budgets of the teams.
- Time is running out: Competitors like Tencent, Alibaba, and ByteDance are already focusing all their efforts on a unified platform. If Baidu hesitates, it may lose its position in the market, as users and enterprises prefer a single, easy-to-use solution.
Baidu's current strategy of letting the two products develop independently may not be effective in the long run. If it cannot quickly determine a clear leader, it could lose the battle for AI office solutions due to its fragmented approach.
In conclusion, Baidu's dual AI office product strategy is akin to trying to catch a ball with both hands when the ball has already been passed to a key competitor. Baidu must either choose one platform or risk losing both efforts.