TL;DR
China’s tech giants are replacing the traditional e-commerce search bar with AI agents that can find, compare, and purchase products through natural conversation. Alibaba’s Qwen assistant, now integrated with Taobao’s four-billion-item catalogue, has reached 300 million monthly active users, while Alipay processed 120 million AI-agent transactions in a single week in February. Meituan, JD.com, ByteDance, and Tencent are all racing to deploy similar capabilities.
For years, buying something online in China meant typing keywords into a search bar and scrolling through an endless grid of listings. That ritual is being dismantled. On Monday, Alibaba Group integrated its Qwen artificial intelligence assistant with Taobao, its largest marketplace, giving the chatbot access to a catalogue of more than four billion products. A shopper can now describe what they want in plain language, have the AI narrow the options by budget, brand, or occasion, and complete the purchase without leaving the conversation. It is the most ambitious deployment of agentic commerce, the use of AI agents to carry out transactions on a user’s behalf, that any major platform has attempted.
Alibaba is not acting alone. In January, Meituan, China’s dominant on-demand delivery platform, placed a virtual AI companion at the centre of its app’s navigation bar to help users find restaurants and entertainment. JD.com launched its own AI shopping assistant, Jingyan, in 2023 and has since accumulated more than 50 million users. ByteDance upgraded its Doubao AI chatbot in December to autonomously handle tasks such as ticket bookings through Douyin, the Chinese version of TikTok. Tencent is building AI agent capabilities into WeChat, which has 1.3 billion monthly active users. The country’s roughly 975 million online shoppers are being enrolled, whether they realise it or not, in a nationwide experiment to replace the search bar with a conversation.
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. 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.
