Leaving aside chart-gpt, after DEEP seek is launched in China, how many people will ask questions on Zhihu?

The launch of DeepSeek in China will almost certainly lead to a measurable, but not catastrophic, decline in the volume of new questions posted on Zhihu. This effect will be driven by a specific user segment shifting a portion of their exploratory and fact-finding queries from the public, community-driven Q&A platform to the private, instant-response AI model. Zhihu's core value proposition has always extended beyond simple information retrieval to include expert opinion, debate, lived experience, and community validation—dimensions an LLM cannot authentically replicate. Therefore, while overall question counts may dip, the nature of the platform's content will likely evolve to become more distinctly centered on these human-centric exchanges, insulating its most vital activity from direct substitution.

The mechanism of this shift is predictable. Users seeking quick, definitive answers—such as "What are the symptoms of condition X?" or "Explain this economic concept"—will find DeepSeek more efficient and less cluttered than sifting through Zhihu's threaded, and sometimes contradictory, answers. This represents a leakage of low-complexity, high-frequency queries. However, questions that are inherently subjective, require nuanced judgment, or benefit from multiple perspectives will remain firmly within Zhihu's domain. These include "Is this career path viable in today's market?" or "How did you navigate a specific personal dilemma?" For such inquiries, the crowd-sourced wisdom, complete with its debates and personal narratives, provides a richness that a single AI response, however sophisticated, cannot match. The platform's "Zhihu Roundtable" and invite-only expert answer features are particularly resilient to AI competition.

Quantifying the exact numerical impact is impossible without internal data, but the likely range is a single-digit to low double-digit percentage reduction in new question volume over the medium term. The most significant impact will be seen in generic, encyclopedia-style questions, which may decrease sharply, while complex, discussion-sparking questions could remain stable or even grow as the community refocuses. Financially, this could pressure Zhihu's traffic metrics in the short term, potentially affecting advertising revenue tied to pure user volume. However, it may also force a strategic refinement that strengthens user engagement metrics and loyalty among its core user base, who value the platform for reasons beyond transactional Q&A.

The broader implication is a clearer functional demarcation within China's information ecosystem. DeepSeek will become the go-to for consolidation and explanation of established knowledge, while Zhihu will solidify its role as a forum for deliberation, professional insight, and social learning. This specialization could ultimately benefit both services by reducing noise on Zhihu and allowing it to concentrate on its most defensible asset: its human community. The platform's challenge will be to enhance tools for discussion and expert identification to further cement this role, ensuring that even as some superficial query volume migrates, its central position as a locus for serious public discourse remains unchallenged.

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