On November 11, Lingguang, Ant Group's personal AI assistant, released its latest data: since Lingguang 2.0 launched on October 27, the cumulative number of managed matters has exceeded 3 million, and cumulative task executions have surpassed 11 million.
This is another disclosure of managed-matter data since Lingguang 2.0 launched. On November 5, Lingguang announced that within one week of launch, it had managed more than 1.16 million matters, cumulatively executed over 3.6 million tasks, and surpassed 20 million users.
Unlike traditional AI product metrics such as user scale and number of conversations, managed-matter volume measures how many things users hand over to AI for ongoing follow-up. Its growth reflects that the way personal AI assistants are used is extending from instant Q&A and one-off task execution to long-term matter management.
The key to this change is AI shifting from responding to commands to continuous fulfillment. Traditional AI assistants usually complete a single interaction after a user asks a question or gives a command. Lingguang 2.0's "Help Me Manage" feature, however, allows users, after authorization, to hand over matters that need long-term attention to AI, which continuously monitors their status and proactively reminds users or performs the corresponding actions when conditions are met or key milestones are reached.
For example, parents can have Lingguang keep an eye on a DingTalk class group and summarize important notices and to-dos; consumers can entrust it with monitoring flight ticket price changes and reminding them about automatic membership renewals; users can also connect smart home devices so AI can automatically perform actions based on preset conditions. The common thread in these scenarios is that the task does not end in a single conversation; instead, AI needs to keep watch and take action at the right time without the user's continuous involvement.
What supports this capability is long-term task scheduling, cross-session context management, and external service connectivity. As of November 3, Lingguang had integrated more than 40 external connectors, including Alipay, DingTalk, Quark, and Feishu, extending AI's service scope to everyday scenarios such as work, consumption, and home life.
As personal agents enter real life, the industry's evaluation system is also beginning to show new dimensions of observation. In the past, AI products mainly demonstrated growth through user scale, activity, number of conversations, and task invocation volume; after entering the managed-matter stage, how many matters users are willing to hand over, whether AI can consistently complete them, and the final quality of completion are becoming issues more worthy of attention.
From "how many people are using AI" to "how many things AI truly manages well for users," competition among personal AI assistants is entering a new stage that places more emphasis on continuous service capability.
It is understood that Lingguang is Ant Group's personal AI assistant, dedicated to enabling AI to move beyond answering questions and executing commands toward continuously managing real-world matters. Lingguang 2.0, released on October 27, is positioned as a "personal AI assistant that can manage things," helping users manage daily matters in work, life, and family through long-term matter management and cross-platform service connectivity.
