The 2026 Double 11 is unfolding as a misaligned experiment in AI commercialization: merchants are already paying real money for AI, while consumers are still “testing” AI‑powered shopping with subsidies. At 8 p.m. on October 20, Tmall kicked off its sales, and within four hours, 124 brands each surpassed RMB 100 million in GMV. Three days later, a media test revealed that the same brand of kitchen paper towels was priced at RMB 27.9 on Douyin E‑commerce, but after applying coupons via the DouBao app, the price dropped to just RMB 17.43—a 37.5% price gap. Price leverage is becoming the core strategy for AI platforms vying for prime shopping entry points.
AI is evolving from guiding purchases to closing the transaction loop: the Qwen App now supports product selection, order placement, and payment; meanwhile, DouBao has embedded Douyin livestream rooms directly into chat windows, enabling users to make decisions and complete transactions without leaving the platform. This shift is reshaping the power dynamics in e‑commerce—whichever player first addresses user inquiries may end up determining where the order ultimately goes. According to Adobe data, by July 2026, U.S. retail site visitors driven by AI will see conversion rates, average order value, and add‑to‑cart rates 60%, 53%, and 28% higher, respectively, compared to non‑AI sources, underscoring AI’s commercial value as a customer acquisition channel.
However, consumer trust remains fragile. A June 2026 survey by the Shanghai Consumer Protection Commission shows that although 84.56% of users have tried AI‑assisted shopping, only 16.06% rate its ability to deliver precise product matches; nearly 40% of users complain that AI prioritizes higher‑priced items, and close to 30% find themselves needing to manually sift through results a second time. The more AI resembles a personal advisor, the harder it becomes to sidestep questions about its stance: Is it truly acting in consumers’ interest to save money, or is it serving merchants’ goal of boosting sales volume?
By contrast, the commercialization side is clearer for merchants: on October 14, Qwen Office for E-commerce revealed that 20% of its paying users come from the e‑commerce sector. Liu Xianglong, a women’s shoe retailer, used AI to cut the preparation time for his 3D‑printed shoe store from 30 days to 7 days, reducing costs from RMB 30,000–50,000 to just a few hundred yuan in token fees. Alibaba has further integrated Qwen Office into systems such as Business Advisor and Alimama Wanxiangtai, extending AI’s role from content creation to ad‑placement optimization and establishing a closed loop of “cost reduction—efficiency gain—customer retention.”
Another parallel track is the commercialization of AI services: in September 2026, Tmall launched a token-recharge entry point, with Zhipu, MiniMax, and others joining the platform; on the first day of Double 11, token-category sales surged 450% month-over-month, yet Tmall’s Zhipu flagship store sold only about 300 units, while a certain monthly subscription on JD.com moved just over a hundred. Tmall President Jialuo explicitly stated that no special subsidies would be allocated for now—reflecting the platform’s strategy: the battle for token‑based shelves is aimed at capturing AI service users’ payment pathways, rather than cultivating broader public demand.
Ultimately, this year’s Double 11 has revealed a reality: AI hasn’t yet created new consumption patterns, but it has already accelerated the shift of existing orders; it may not be a better salesperson, but it has become a more efficient recipient of budgets. While merchants are busy paying for AI, consumers are still comparing prices, claiming coupons, and questioning the logic behind recommendations—underlying the paradox of AI-driven shopping is a mismatch in the pace at which commercial value is delivered.