Alibaba launches agentic commerce at scale as Stripe's Collison predicts AI agents will reshape shopping

Stripe's John Collison says agentic commerce will completely transform online shopping

Stripe's co-founder says AI agents will replace search-based shopping, forcing brands to appeal to algorithms, not humans. John Collison thinks keyword search is a "ridiculous" way to find things to buy. The Stripe co-founder told Bloomberg that agentic commerce, in which AI agents shop on behalf of consumers, will completely transform the online shopping experience, reshaping not just how people purchase but how retailers sell. The argument is structural. For more than a decade, e-commerce has been built around targeted ads, algorithmic recommendations, search engine optimisation, and infinite scrolling, a system designed to capture human attention and convert it into transactions. Agentic commerce replaces the human in the loop. When an AI agent evaluates products, compares prices, checks reviews, and initiates a purchase on a consumer's behalf, the entire advertising and discovery infrastructure built for human eyeballs becomes less relevant. Brands will need to appeal to AI agents as well as, or instead of, human buyers. Collison's perspective is informed by Stripe's position at the centre of internet payments. The company processes transactions for millions of businesses and has been building infrastructure specifically designed for agent-to-agent commerce. At Stripe Sessions 2026, held in San Francisco last month, the company unveiled its Agentic Commerce Suite, live integrations with Meta, Google, OpenAI, and Microsoft, alongside a Machine Payments Protocol co-authored with its blockchain subsidiary Tempo that enables AI agents to pay each other in stablecoins or fiat currency. Amazon responded this week by putting its Alexa for Shopping agent inside the main Amazon.com search bar, a defensive move designed to keep the buy flow inside Amazon's ecosystem before external agents capture the high-intent query. The question Collison raised in the Bloomberg interview, whether AI agents can truly mimic human taste, cuts to the heart of agentic commerce's limitations. For commodity purchases, groceries, toiletries, repeat orders, an agent optimising for price, speed, and past preferences is straightforwardly useful. For high-consideration purchases, fashion, furniture, electronics, the role of personal taste, aesthetic judgment, and the experience of browsing is harder to delegate. The technology is advancing rapidly, but the gap between an agent that can find the cheapest flight and one that understands why you prefer a window seat on the left side of the aircraft is not trivial. China is already further along this trajectory than the West. Alibaba integrated its Qwen AI assistant with Taobao's catalogue of more than four billion products, reaching 300 million monthly active users. Alipay processed 120 million AI-agent transactions in a single week in February. Meituan, JD.com, ByteDance, and Tencent are all deploying similar capabilities. The structural advantage of Chinese super-apps, which integrate discovery, communication, payment, and fulfilment within a single environment, means the entire agentic shopping workflow can happen without leaving the platform. In the West, the buy flow still typically crosses multiple apps and websites, creating friction that agents must navigate and that incumbents can exploit. The implications for retailers are significant. If an AI agent is the primary buyer, search engine optimisation gives way to something closer to agent optimisation, the discipline of making products legible to AI systems rather than to human browsers. Product descriptions, structured data, pricing transparency, and return policies all become inputs that agents evaluate programmatically. A brand that ranks well on Google but poorly in a ChatGPT shopping query may find its traffic evaporating. Stripe is positioning itself as the payment infrastructure for this transition. Its Link product, which now has 250 million consumer wallets, has been adapted to function as an agent wallet, allowing AI agents to spend money on a user's behalf within boundaries the user sets. Google, Amazon, and OpenAI are all building their own agentic commerce protocols, and the competition to control the payment rail that agents use is intensifying. Stripe's bet is that it can be the neutral infrastructure layer that all agents transact through, regardless of which AI company built them. Collison has previously described agentic commerce and stablecoins as "twin revolutions in intelligence and money." At Stripe Sessions, William Gaybrick, Stripe's president of product, used the same framing. The company's $159 billion valuation, confirmed in a recent tender offer, reflects investor confidence that Stripe can capture value from both transitions simultaneously. Whether that confidence is justified depends on whether agentic commerce reaches the scale its proponents predict, or whether it remains, for the near term, a compelling idea that works better in conference keynotes than in the messy reality of online shopping. The enterprise software industry is already restructuring around the assumption that agents will handle an increasing share of commercial activity, from procurement to customer service to payments. Collison's argument is that retail will follow the same path, and that the companies that adapt their products, their data, and their payment flows for AI buyers will outperform those that continue optimising for human ones. The timeline is uncertain. The direction, he believes, is not.

China leads the agentic commerce race as Alibaba, Meituan, and JD.com deploy AI shopping agents at scale

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 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%. 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 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. 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.

Alibaba integrates Qwen AI with Taobao for end-to-end agentic shopping

The Qwen app gets access to Taobao and Tmall's catalogue of more than 4 billion items, plus Alipay-native checkout, in what is the largest agentic-commerce launch yet from a Chinese platform. Alibaba is integrating its Qwen AI app with Taobao and Tmall, the company's two largest consumer marketplaces, in what amounts to the most ambitious test yet of agentic shopping at scale, Reuters reported on Saturday, citing a source familiar with the plan. Under the integration, the Qwen app gains access to the entire Taobao-Tmall catalogue, more than four billion items, and to a layer of Alibaba-built skills that handle logistics, customer service and after-sales workflows. From inside Qwen, a shopper will be able to ask the agent to find a product, compare it across sellers, run virtual try-ons, monitor a 30-day price track and place an order. The transaction itself completes through Alipay, with the AI agent stepping back only for the final user confirmation. Inside Taobao, the same Qwen models will power a shopping assistant integrated with the existing app rather than as a standalone surface. The architecture is a notable break from the way most Western e-commerce platforms have approached generative AI. ChatGPT's shopping integration with Shopify and Amazon's Rufus assistant largely produce search-style answers; the buy-flow happens in the underlying retailer's app or website, with payment, delivery and returns handled by separate systems. Alibaba's design treats the entire purchase, including payment and post-sale interactions, as something the AI agent can complete end-to-end. The four-billion-item catalogue is a meaningful difference too. Even an aggressive Western comparison falls short by an order of magnitude. The company's framing is explicit. Wu Jia, Alibaba Group VP, told a launch event that the strategy was about moving "from intelligence to agency." In a live demo, Qwen took a request for forty cups of bubble tea from a local chain, placed the order through Taobao Instant Commerce, applied loyalty discounts and completed the Alipay checkout, with delivery a short time later. CEO Eddie Wu has positioned the spend behind this push as part of the more than $53 billion AI commitment Alibaba announced last year, framing AGI as a central group strategic goal. The launch lands inside a fast-moving Chinese agentic-commerce market. Tencent's ClawPro enterprise agent launch positioned ClawPro at enterprise customers; ByteDance's Doubao has integrated similar capabilities into WeChat-adjacent surfaces. Alibaba has been the most vocal of the three about consumer-side agentic flows, and the Qwen-Taobao integration is its largest move so far. Earlier in 2026, Qwen reached 300 million monthly active users across Taobao, Tmall, Alipay and other consumer surfaces, with about 140 million first-time AI shopping experiences logged during the Chinese New Year campaign. There are competitive and regulatory caveats. Alibaba's e-commerce business has been losing share to PDD Holdings (parent of Pinduoduo and Temu) and to Douyin's commerce surfaces, which is part of why the company is willing to gamble on a UI shift this large. The push into AI-as-checkout-layer also depends on Beijing not deciding to regulate it differently from existing e-commerce regimes, a risk that the more guarded relationship Alibaba has had with Beijing since the 2021 antitrust fine is meant to remind investors of. The 2021 fine has not been forgotten, and Alibaba has been more cautious than its peers about where it puts the AI agent, what data it stores, and how it handles user consent. Strategically, the integration also fits Alibaba's broader split-out strategy of recent years. Alibaba has been reorganising its consumer-internet, cloud, and logistics arms into separately governed units; the Qwen-Taobao tie reverses that direction, pulling cloud-side AI capability into a consumer surface to defend the marketplace business. The implicit bet is that AI-native commerce is a sufficient step change that owning both halves matters more than the structural separation that has otherwise been progressing. There are gaps that the launch does not address. Cross-border commerce, where Alibaba's growth ambitions sit, is harder; Qwen's integration with overseas Alibaba surfaces has been considerably more cautious. Western retailers and platforms watching this launch will want to know whether the agentic checkout works for casual buyers as well as the enthusiast users who tend to test new commerce surfaces first. Conversion data, average order value, and return rates are the metrics that will determine whether this becomes more than a flagship demo. The company has not committed to disclosing those metrics. For now, the proposition is clear and the scale unmatched. China's largest e-commerce platform is asking its users to talk to an AI rather than tap through a product grid. Whether that becomes the default flow or shoppers prefer the muscle memory of the familiar app will be visible in the second-half retail-festival numbers.

Alibaba to integrate Qwen AI with Taobao, launch agentic shopping, source says

BEIJING, May 10 (Reuters) - Alibaba is preparing to unveil the integration of its AI platform Qwen and online marketplace Taobao, a move that seeks to drive shopping with conversations rather than keyword searches, according to a source familiar with the decision. The move will enable consumers to browse, compare and purchase items via the Qwen app by chatting with the artificial intelligence agent, rather than manually navigating product listings. The Qwen app will have access to the entire Taobao and Tmall catalog of over 4 billion products, backed by a "skills library" capable of managing logistics and after-sales services. It will also offer shopping recommendations based on users' order history and shopping preferences. Inside Taobao, Alibaba will launch a Qwen-powered AI shopping assistant, which includes tools for virtual try-ons and 30-day price tracking. Alibaba's push into AI-driven shopping highlights a gap between Chinese and Western e-commerce platforms; China's model allows AI to be embedded directly into live transactions. In the U.S., platforms are more fragmented: Amazon has used AI to improve shopping within its marketplace but remains cautious about full autonomy. Canada's Shopify allows the use of external AI agents rather than running an integrated consumer AI platform. (Reporting by Sophie Yu in Beijing, Casey Hall in Shanghai; Editing by Thomas Derpinghaus)