Lessons from Chinese AI Firms on Owning Customers’ Habits

As U.S. AI firms compete in an escalating race for superior models, bigger benchmarks, and more advanced features, Chinese companies are pursuing a fundamentally different strategy: embedding AI into users’ everyday habits. The authors argue that this “habit moat” approach may prove more durable than competing on raw capability alone. Whereas Western firms position AI as a destination consumers consciously visit, companies like Alibaba integrate AI into existing routines such as shopping, payments, food delivery, and travel booking, reducing friction until using AI becomes automatic behavior. Once AI capabilities become “good enough,” marginal technical improvements matter less than becoming the default path through recurring customer tasks.  The authors outline four strategic imperatives for Western leaders: focus on behavioral cues rather than feature gaps, subsidize customer behavior instead of subscriptions, embed AI invisibly into existing workflows, and optimize for repeat usage rather than first-time adoption. The central warning is stark: AI may not replace employees first—it may instead capture the critical customer moments businesses currently own.

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