For years, buying something online in China meant typing keywords into a search bar and scrolling through endless grids of listings. That ritual is being dismantled. Chinese tech giants are rapidly replacing the traditional search bar with AI agents that handle the entire shopping journey through conversation. The race to deploy what's called 'agentic commerce'—where AI acts on behalf of users to find, compare, and purchase products—is led by Alibaba, Meituan, JD.com, and other major platforms.
Key facts at a glance
- Alibaba integrated its Qwen AI assistant with Taobao, giving access to over 4 billion products. The assistant can now complete purchases within the conversation.
- Qwen reached 300 million monthly active users across Alibaba's consumer platforms by early 2026.
- Alipay processed 120 million AI-agent transactions in a single week in February 2026, the first time any AI-native payment product reached that volume.
- Meituan placed an AI companion in its app's navigation bar in January 2026 to help find restaurants and entertainment.
- JD.com's Jingyan AI shopping assistant has accumulated over 50 million users since 2023.
- ByteDance's Doubao AI chatbot can autonomously handle tasks like ticket bookings through Douyin.
- Tencent is building AI agent capabilities into WeChat, which has 1.3 billion monthly active users.
The scale of what is happening
The numbers suggest this is more than a feature upgrade. Qwen reached 300 million monthly active users across Alibaba's consumer platforms by early 2026, with roughly 140 million first-time AI shopping experiences logged during the Chinese New Year campaign alone. Alipay, the payment arm of Alibaba's Ant Group, processed 120 million AI-agent transactions in a single week in February—completed purchases that were ordered through a chatbot and paid without the user leaving the conversation. It was the first time any AI-native payment product had reached that volume.
On the merchant side, Tmall has upgraded its Business Advisor tool with agentic AI capabilities, giving every seller on the platform a dedicated team of AI agents that operate around the clock. The agents handle tasks across the entire operational chain: store analytics, advertising placement, visual content generation, customer service, and post-sale support. Dianxiaomi, an AI customer service tool already piloted with 200,000 merchants, has reportedly lifted conversion rates by 30%.
Why China is ahead
The structural reason China's technology companies are moving faster on agentic commerce than their Western counterparts is architectural. Chinese super-apps—Taobao, WeChat, Meituan, Douyin—already integrate discovery, communication, payment, and fulfilment within a single environment. When an AI agent on Alibaba's platform finds a product, compares it across sellers, runs a virtual try-on, monitors a 30-day price history, and places an order, the entire workflow stays inside the ecosystem. The transaction completes through Alipay, with the agent stepping back only for a final user confirmation.
That stands in contrast to the Western approach. For example, ChatGPT's shopping integration with Shopify and Amazon's Rufus assistant largely produce search-style answers; the buy-flow happens in a separate app or website, with payment, delivery, and returns handled by different systems. The fragmentation of Western e-commerce infrastructure means AI agents can recommend products effectively but struggle to complete the full transaction loop without handing the user off to another platform.
The merchant side
The implications for businesses are at least as significant as they are for consumers. If AI agents are making purchasing decisions, or heavily influencing them, then companies need to compete to be selected by algorithms, not just noticed by humans. A new layer of infrastructure is emerging to help brands connect their catalogues to AI platforms, handle real-time pricing and availability, and track how their products perform in conversational rather than search-based discovery.
Some retailers are already reporting traffic declines of up to 30% as consumers shift from traditional search engines to AI agent queries. McKinsey estimates that agentic transactions could influence up to $5 trillion in global sales by 2030. The shift does not merely change how people shop; it changes what it means for a product to be discoverable. Search engine optimisation, the discipline that has governed online retail for two decades, may be giving way to something closer to agent optimisation—the art of making products legible to AI systems rather than to human eyeballs.
The limits
None of this means the search bar is dead. Agentic commerce is still in its early stages, and the technology has clear constraints. AI agents can misinterpret preferences, hallucinate product attributes, or optimise for the wrong variable. For high-consideration purchases—electronics, furniture, luxury goods—most consumers still want to see the product, read reviews, and make the final call themselves. The convenience of a chatbot buying groceries on your behalf does not necessarily extend to decisions where the stakes are higher and the preferences more nuanced.
There are also questions about competition and consumer welfare. If AI agents steer users toward products from their own ecosystem—Alibaba's agent recommending Taobao listings over a competitor's—the result could be less choice rather than more. Regulators in China and elsewhere have not yet addressed how antitrust principles apply when an AI, rather than a consumer, is making the purchasing decision.
But the direction of travel is clear. China's technology companies are treating agentic commerce not as a feature but as the next generation of the platform itself—a replacement for the search-and-scroll model that has defined online retail since the late 1990s. The rest of the world's e-commerce industry is watching, and in many cases, scrambling to catch up.