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Alibaba’s AI chatbot, Qwen, ran headfirst into a real-world problem this week when a major coupon giveaway overwhelmed its systems, forcing the company to temporarily halt new coupon distribution and ask shoppers to be patient. The promotion, part of a 3‑billion‑yuan push during China’s Spring Festival, generated roughly 10 million orders in just nine hours, straining servers and showing that even the largest tech companies can hit scaling limits when AI meets real-world demand.
While Alibaba assured users that existing coupons remain valid through February 28, repeated attempts to claim new coupons caused a flood of refusal messages, highlighting the friction between hype and execution. The company has not commented further on the technical issues, leaving analysts to speculate about the limits of its AI infrastructure under peak load.
Alibaba is trying to turn Qwen from a simple assistant into a one-stop AI shopping portal where users can access multiple apps and complete purchases entirely through AI prompts. But enthusiasm for AI-driven shopping has exposed a classic problem: demand can quickly exceed technical capacity, even at one of the world’s largest e-commerce platforms.
AI adoption isn’t just about clever algorithms — it’s about infrastructure and reliability.
High demand shows consumers are eager for AI-driven convenience, but platforms must scale or risk user frustration.
Alibaba’s “Agentic AI” strategy — integrating AI deeply across commerce — is being stress-tested under real-world conditions for the first time.
The Qwen coupon debacle is a cautionary tale: AI shopping is seductive, but execution under pressure is where the real battle is fought. Platforms can create groundbreaking features, but if they can’t handle scale, hype quickly turns into frustration.
Alibaba’s next challenge is clear: prove that AI can deliver at scale, or risk losing trust in one of the most ambitious AI-commerce experiments in the world.