Summary of the Core Content in Plain Language
Recently, Alibaba quietly launched a new product called “Wan You Wu Jie” (Everything Without Boundaries), which is essentially an enterprise collaboration platform that allows multiple AI employees to work together as a team. In the past, AI systems worked independently, helping with tasks like creating PPTs and researching information. Now, different AI functions—such as writing plans, calculating budgets, finding data, and coordinating with other systems—can be combined into a project team. Both humans and AI work together, and all the processes and results are automatically recorded in the company’s system, ensuring nothing is lost.
Interestingly, this new product comes just a month after Alibaba integrated three previously separate AI products into “Qian Wen Office.” By leveraging its large AI models, cloud computing power, DingTalk’s enterprise networking capabilities, and developer resources, Alibaba is creating various AI intelligent agents in different areas, returning to its familiar strategy of letting multiple teams compete to see which one emerges as the best solution. However, the new challenge is that each product has its own value, making it difficult to determine which one to eliminate, thus making the selection process more complex than developing a new product from scratch.
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Detailed Explanation of Each Point
1. New Product Launch Despite Recent Integration
The launch of a new product doesn’t mean the previous integrations were a failure. It represents a shift in how AI works, from individual tasks to team collaboration. Many people might think the previous integrations were in vain, but they served different purposes:
- QoderWork could directly operate on users’ local computers, acting like an assistant at their desks.
- MuleRun ran entirely in the cloud, without using up computer memory and running smoothly 24/7.
- Wukong was designed specifically for use within DingTalk, understanding enterprise approval processes and collaboration mechanisms.
The new “Wan You Wu Jie” platform, on the other hand, allows dozens or even hundreds of AI systems to work together. For example, to organize a new product launch, users don’t need to assign tasks to individual AI systems separately; the platform automatically assigns them to the right AI systems (for planning, data collection, cost-benefit analysis, and supplier coordination). Humans only need to make critical decisions at key points, effectively creating an AI department within the company.
2. No Standard in the AI Industry, so Alibaba’s “Race” Strategy Is the Most Stable Option
No one in the industry knows for sure what the ideal enterprise AI system should look like:
- Some think it should be integrated into chat interfaces, answering users’ questions.
- Others believe it should take over all company systems, handling the entire process from receiving orders to delivering products.
- Still others think it should be embedded in everyday office software without the need for additional apps.
Alibaba has all the necessary tools: its AI model “Qian Wen,” cloud computing services “Alibaba Cloud,” the widely used DingTalk, and the developer platform “Bai Lian.” Each of these components can be used to create AI products, and each has its own user base. Since there’s no clear standard, it’s better to let multiple teams compete and let users decide which product is the best.
3. Alibaba’s Push for AI Intelligent Agents Aims to Double Its Cloud Business
AI intelligent agents are highly resource-intensive. Traditional enterprise software might use resources infrequently, but AI agents constantly require data processing, model training, and system integration. If a company uses thousands of AI systems, it significantly increases computing demands, boosting Alibaba Cloud’s revenue.
However, company executives are more concerned with cost-effectiveness: will the AI save them money by reducing labor costs or increasing profits? If AI only makes employees produce more PPTs without increasing staff or revenue, they might cut the AI budget. The industry is moving from showcasing AI’s capabilities to demonstrating its practical value in saving money and generating profits.
4. DingTalk’s Role Has Changed
DingTalk, once the primary entry point for enterprise AI, is now playing a supporting role. Its AI system “Wukong” has been integrated into “Qian Wen Office,” and DingTalk itself is becoming the “backend manager” for all AI systems. It provides necessary organizational and permission management functions. This simplifies things for Alibaba but might lead to lower usage as users might rely less on DingTalk.
5. The Biggest Challenge for Alibaba: Choosing the Winning Product
The success of Alibaba’s previous “race” strategy relied on quickly focusing resources on the winning products and eliminating the less effective ones. With the current range of AI products, each has its own user base and business logic, making it hard to determine which one is unnecessary. The real challenge is to find a “blockbuster” that makes all other products seem irrelevant. Whether “Wan You Wu Jie,” “Qian Wen Office,” or another product succeeds depends on user acceptance. Alibaba still has time to experiment, but if competitors like Tencent and ByteDance release similar products, it will need to quickly identify a winner to avoid internal waste.
In summary, Alibaba’s focus on AI intelligent agents is aimed at expanding its cloud business. While the industry is still in its early stages, the competition will become more intense, and only a product that truly solves real problems will stand out.