Qwen to Challenge WeChat in the Agent Arena

It has been a long time since the capital markets were this excited over product rumors.

On June 2, 2026, news emerged that Tencent was preparing to embed Agent capabilities within the WeChat ecosystem. Even though the news had not yet been officially confirmed, the market voted with its feet. On that day, Tencent’s stock price surged more than 10% in a single session.

Tencent, which had suffered a prolonged decline due to criticism of its slow AI progress, finally regained some investor attention.

A securities analyst specializing in the TMT sector told Wallstreetcn, “The market is rushing to buy because Tencent plans to layer a capable agent over WeChat, which has over a billion daily active users and the densest social graph. The potential upside could support a round of revaluation.”

However, while WeChat Agent sparked heated discussion, Alibaba was quietly gearing up.

Wallstreetcn learned that Alibaba is accelerating the opening of its Agent ecosystem. Recently, Qwen announced its entry into high-frequency consumer scenarios such as travel and dining, with companies like China Eastern Airlines, KFC, and Luckin Coffee beginning to participate in Agent cooperation tests. Meanwhile, Alibaba-affiliated businesses such as Fliggy and Taobao are gradually integrating Agent capabilities.

Alibaba has arrived with a familiar narrative: it intends to redo its strongest suit from the past two decades—matching supply and demand—using Agents, engaging in a head-to-head confrontation with Tencent.

A Contest Between Top-Tier Players

WeChat Agent is moving closer to launch.

A source close to the WeChat Agent project revealed that internal testing was originally scheduled for early June, but the WeChat team is considering further refinement and optimization, which may delay the final debut. According to the Financial Times, there may be several internal testing versions of WeChat Agent.

Outside, Alibaba is quietly exerting force, preparing to open the doors to its circle of friends.

Over the past six months, Alibaba has been stress-testing its own ecosystem first. Dozens of Alibaba-affiliated Agents in travel, shopping, government services, and other areas have been sequentially integrated. An AI shopping Agent has been embedded in Taobao, instant retail Agents are operating in Flash Shopping, travel planning Agents are running on Fliggy, and Idle Fish is also conducting tests.

A practitioner in the Agent industry told Wallstreetcn, “In fact, Qwen is the largest commercial terminal for AI-driven transactions in China.” However, he added, “The form of supply from providers could still be richer.”

Zhu Lin’s words proved prophetic. Just before the debut of WeChat Agent, Alibaba made its move.

On June 3, Qwen announced it would fully open up to third-party Agents and Skills, allowing enterprises to operate their brand Agents on Qwen. The first batch of companies, including Luckin Coffee, KFC, Mixue Ice Cream & Tea, and China Eastern Airlines, are testing Agent services on Qwen and will roll them out sequentially.

First creating a model internally, then expanding the ecosystem as a platform, is Alibaba’s customary strategy.

An executive within the Alibaba system explained to Wallstreetcn: “The essence of an Agent is to improve service quality, solve customer problems, and enhance the efficiency of customer service, ultimately winning consumers’ choice of this service.”

“For example, when hailing a ride via Qwen, you simply voice your pickup and drop-off locations and a price range of 10–15 yuan, and options appear immediately,” the individual said. “There is no need to open an app and wait for input fields, nor is there any need to fill out forms repeatedly.”

In their view, Alibaba encourages players to create more Agents. “Currently, the focus must be on getting Agentic commerce moving within China’s broader economic environment. Otherwise, all business logic remains external code.”

Wu Jia, President of the Qwen Business Group, also stated frankly to Wallstreetcn, “What we truly aim for is to integrate AI into the daily life scenarios of ordinary people.” He is convinced that this is an inevitable future development.

At this point, comparing Tencent and Alibaba, the most fundamental difference lies in how users utilize these new products.

Users in WeChat primarily seek social interaction, communication, and relationship maintenance. All tool-like attributes (payments, mini-programs, official accounts) are byproducts of social scenarios.

Users in the Qwen App have a purer purpose: getting things done. Booking flights, ordering coffee, checking points, planning itineraries—users come to Qwen not to kill time, but to complete specific tasks and leave.

With this mindset, Agents do not need to compete for social attention; they only need to execute tasks smoothly. This difference will determine the divergence in the future business models of the two products.

Tencent’s Challenge: Inserting a New Role into Familiar Social Spaces

Integrating Agents into WeChat sounds like a natural step, but it may not be as simple as imagined.

The experience density of WeChat is top-tier among global internet products. A single chat window carries instant messaging, Moments access, official account subscriptions, Channels, mini-programs, payments, enterprise communication, government services, and more. Any new feature squeezed in encroaches upon the interaction paths users have already formed muscle memory for.

Moreover, to a large extent, the core mindset of WeChat is “conversing with people,” not “conversing with systems.” When opening WeChat, the default counterpart is a specific person—a friend, colleague, family member, or someone familiar in a group.

This mindset is anchored so deeply that the presence of mini-programs is often suppressed; most users enter mini-programs temporarily driven by specific scenarios and leave after use.

To insert an Agent into such a product, Tencent must answer the question: Why would users switch from talking to friends in the same window to telling an AI, “Help me book a flight”?

Tencent certainly has ways to bypass this, such as creating a separate AI entry point without altering WeChat’s main conversational framework. But then, WeChat Agent would just be another entry among many, failing to enjoy the true dividends of WeChat’s traffic. Any change entails the risk of breaking established user habits.

This is what Tencent truly needs to prove: Can it recreate a new mainstream AI-native interaction within a mature, highly saturated national-level product? The difficulty lies not in technology, but in product discipline—deciding what to change, what not to change, and to what extent.

The ultimate direction of WeChat Agent remains open.

It could be a hybrid of social + AI, or lean more towards tool-like attributes. Regardless of the choice, Tencent must face the usage habits formed by WeChat’s 1.4 billion users, which is its greatest asset as well as its burden.

However, looking back, Tencent has undertaken similar endeavors in the past. WeChat Pay carved out a financial scenario within familiar social circles, leveraging the unique catalyst of red packets. Channels entered the already mature short-video track by cutting in reverse from WeChat’s social graph.

Tencent succeeded in both instances, but each took three to five years. For this Agent battle, the market is willing to pay a premium of HK$410 billion upfront; Tencent must now deliver with tangible results.

Alibaba’s Challenge: Building Commercial Infrastructure for Agents

For Alibaba, it does not hold a national-level conversational product like WeChat. This starting point determines that Alibaba cannot follow Tencent’s path of “adding an AI layer within familiar social circles.”

But Alibaba has its own ace.

In the view of industry insiders, whether an Agent can help a user book a flight depends on whether airlines are willing to open their flight systems, seat availability, change/cancellation rules, and special meal preferences for Agent access, and whether they are willing to devote resources to operating this chain. The same applies to coffee brands, restaurant brands, and government service providers.

Without this infrastructural work, Agent commerce cannot function. Large model companies are not adept at collecting money, merchants do not trust decisions made by Agents on behalf of users, and users are hesitant to hand over payment authority.

This is a comprehensive contest involving ToB sales networks, merchant operation systems, and supply chain integration capabilities.

Alibaba has accumulated over twenty years of experience in these areas, from connecting foreign trade factories with overseas buyers in the B2B era, to connecting shops with consumers in the Taobao era, and further to connecting restaurant brands with delivery users in the local lifestyle era.

This ingrained genetic trait is something other large model companies cannot grow from scratch.

Not only is the foundation important, but Alibaba has also taken a step ahead in thinking about the demand side in the Agent era.

A source close to Alibaba gave an example to Wallstreetcn: If a user believes they are only willing to purchase an item priced at 10,000 yuan if it drops to 7,000 yuan, this demand was almost imperceptible to merchants in the past. However, an Agent can place a standing order on behalf of the user: “Notify me to buy when it hits 7,000 yuan.”

As more users express similar demands, merchants no longer see vague traffic but genuine purchase intent. This resembles a form of reverse group buying, where Agents might even help merchants discover demand.

In the past, merchants did not know users’ true psychological price points. In the future, Agents may feed demand directly back to the supply side, giving the business world near-real-time demand signals.

It can be said that in the Agent era, mastering intent often holds the greatest value. And what Alibaba is doing is connecting merchant Agents with consumer Agents.

Looking back, Alibaba’s direction and path are quite clear.

Over the past year, Qwen has continuously invested in AI shopping, Flash Shopping, and other businesses to create showcase models, serving simultaneously as stress tests. After validating these chains, they will be opened to all merchants.

From this perspective, Alibaba is building the underlying network for the Agent era. If this story succeeds, the valuations of Alibaba and Qwen are likely to undergo a new round of reevaluation.

Qwen’s current position is somewhat akin to Mini Programs in 2017. Previously, the market viewed it more as Alibaba’s AI infrastructure investment—in other words, a “money-burning project.”

But when daily service conversations exceed 100 million, 130 million users are using Agents to get things done, and 90% of 300 million transactions originate from Qwen, it already possesses certain conditions for platform valuation.

More notably, the logic of traffic value is changing.

After Qwen opens up to third-party Agents, it will no longer be just an internal tool-like product for Alibaba but will become a B+C two-sided platform. This entry point could become a new channel for Alibaba’s local lifestyle and e-commerce businesses to acquire incremental users, and may conversely reshape the business models of Taobao, Fliggy, and Flash Shopping respectively.

Of course, this path has its own uncertainties: the timeline for large-scale Agent implementation, and whether Alibaba can maintain its rhythm if Tencent uses WeChat to counter-position.

But one thing is certain: the Agent battle will not be a winner-takes-all story, because Doubao, Qwen, and ChatGPT are not following the same path.

Doubao leverages ByteDance’s traffic DNA to maximize companionship and content, ChatGPT relies on OpenAI’s enterprise clients to sell tools, and Qwen utilizes Alibaba’s commercial network to build a platform. These three paths will ultimately occupy different poles in the AI application sector.

However, when an Agent can remember your preferences, proactively remind you to place an order before the lunch rush, calculate the optimal redemption plan when your points are about to expire, and place an order for you the moment your desired price appears, you will realize that the “use-and-go” user relationship of the internet over the past twenty years is being replaced by AI assistants that understand you.

And this replacement process is likely to unfold simultaneously on Alibaba’s and Tencent’s respective home turfs, in two completely different ways.