Tencent takes the initiative from Alibaba in China's AI agent race

Tencent has started taking the lead from Alibaba in China's AI services race by refocusing on agentic AI: systems that don't just answer requests but take actions on the user's behalf. Over the past few days, the company has shipped several products, and it is preparing a bigger move: building such an agent directly into WeChat.

Why Tencent sped up

Until now, Alibaba looked faster. It rolled out AI features more aggressively, grew its user base more quickly and promoted its open-source models more visibly. But the market's attention has shifted from "which chatbot is smarter" to "who will be first to embed an agent into everyday tasks." Here Tencent holds a card almost no one else in China has: WeChat, with its ecosystem of mini-apps, payments and services inside a single app.

In one week, Tencent unveiled a lineup of products aimed at the surge of interest in AI agents like OpenClaw. The company is also working on integrating its own agent into WeChat. The service is supposed to book restaurants, call taxis and handle other tasks without forcing users to jump between dozens of apps. The launch could come within the next few weeks, unless a shortage of compute holds the company back.

Betting on WeChat

Tencent's main strength isn't that it was first to show off an agent, but where that agent will live. Agentic systems need access to user data, payments, chat history and a broad range of apps; otherwise, they quickly hit the limits of an ordinary chatbot. Tencent already has all of this inside WeChat, which about 1.4 billion people use. That means the company doesn't have to build a new distribution channel from scratch and can plug AI straight into a familiar environment.

• QClaw — an agent product for individual users
• WorkBuddy — a tool for work tasks and enterprise use cases
• Development of a WeChat integration, so the agent can act directly from the super app
• Access to payments, mini-apps and user data within a single ecosystem
• A faster path to mass adoption without a separate "AI app"

Investors are already reacting to the shift. After the launch of QClaw and WorkBuddy, Tencent shares posted their best monthly performance relative to Alibaba in almost two years, and the company's market value rose by roughly $30 billion. For Tencent, this matters beyond the stock market: founder Pony Ma, usually low-key, has started promoting the new products himself through his WeChat account, signaling that the topic has become strategic for the company.

"In 2026, AI agents will become one of the key interaction formats," says investor Kevin Xu of Interconnected Capital.

How Alibaba is responding

This doesn't mean Alibaba has suddenly dropped out of the race. On the contrary, it set the pace for a long time: it shipped new AI products faster, grew its audience aggressively and remains one of China's leaders in open-source models. The problem lies elsewhere: its technological lead hasn't yet turned into an equally clear commercial advantage. With the new wave of agentic AI, investors want to see not just models but a clear monetization plan.

Alibaba is trying to respond on several fronts at once. The company is preparing a Qwen-based enterprise agent that is supposed to eventually connect with DingTalk, Taobao and Alipay. At the same time, it is carrying out a major restructuring of its AI business to focus on profits from these products. But the market also picked up weak signals: a prominent model developer left the company, and the reorganization itself looks like an admission that the old structure was poorly suited to the market's new phase.

What it means

China's AI race is quickly shifting away from models as such toward ecosystems where an agent can actually get tasks done. Tencent is betting on WeChat and distribution; Alibaba is betting on models and its own commercial infrastructure. The winner won't simply be whoever has the stronger chatbot, but whoever is first to turn an AI agent into a familiar interface for everyday actions.