Recently, I observed an interesting phenomenon: AI applications are collectively iterating and upgrading. The large models that once only "chatted" are now truly engaging in real-life scenarios.

Looking at the product Qianwen, the strategic logic behind it is quite clear. From its positioning, it is no longer just a dialogue tool but aims to become an AI assistant that can directly help you get things done. The key turning point lies in deep system-level integration—connecting real services such as maps, ticket booking, shopping, and health—enabling AI not only to provide suggestions but also to directly invoke real-world service capabilities.

This reflects an industry-wide upgrade in understanding. People are gradually realizing that pure text-based conversation is not the core of competition. Where is the real barrier? It’s whether AI can cross different scenarios and actually execute tasks within workflows. In other words, from "I tell you the answer" to "I help you complete this task," these are two entirely different levels.

Why is this so important? Imagine how the user experience will change. Previously, users might have needed to switch back and forth between multiple applications—opening one to look up information, another to place orders—but now, if all decision-making and consumption processes can be completed through a single interface, the entire logic is reshaped.

From a business perspective, this kind of integration signifies a new competitive model. The "brain" capability of AI is no longer scarce; what matters is who controls the existing service ecosystem and traffic channels. It’s like equipping AI with "hands and feet"—possessing both thinking ability and the capacity to act directly. This closed loop, from information generation to task completion, is precisely the necessary path for the next wave of phenomenal applications to scale and monetize.