36Kr Official AI Communities Open for Applications

Background and

Context 36Kr has officially launched the recruitment phase for its three dedicated AI vertical communities, marking a strategic pivot from traditional content dissemination to a structured, long-term user growth model. This initiative, announced on April 23, 2026, targets users across the entire spectrum of AI adoption, ranging from beginners seeking foundational knowledge to advanced practitioners focused on project implementation and personal career growth. The launch is not merely an expansion of existing social groups but represents a deliberate productization of 36Kr’s accumulated capabilities in media coverage, AI tool reviews, and user relationship management. By integrating these elements into a cohesive ecosystem, 36Kr aims to address a critical gap in the current AI education market: the scarcity of pathways that effectively transform initial interest into stable, practical output. The decision to structure the offering into three distinct vertical communities reflects a nuanced understanding of the user journey in the AI era. Unlike generic discussion groups that often suffer from information overload or superficial engagement, these communities are designed to provide continuous support, experience accumulation, and resource connectivity. The structure mirrors the natural progression of AI literacy: starting with basic cognitive frameworks and tool familiarity, moving through hands-on practical training, and culminating in real-world project deployment. This approach contrasts sharply with the fragmented nature of current learning resources, which often consist of isolated courses or one-off workshops that fail to provide the sustained interaction necessary for skill mastery. This move comes at a time when the AI learning landscape is undergoing a significant transformation. Early adopters were primarily concerned with understanding what AI is and how to use basic tools like ChatGPT. However, as the technology matures, the focus has shifted toward integrating AI into professional workflows, combining prompts with automation and industry-specific knowledge, and leveraging AI for tangible business outcomes. 36Kr’s new communities are positioned to serve this evolving demand, offering a structured environment where users can navigate the complexity of the AI ecosystem with guided support rather than navigating it alone through scattered online resources.

Deep Analysis

The strategic value of 36Kr’s initiative lies in its attempt to solve the "last mile" problem of AI adoption: the difficulty of translating theoretical knowledge into practical competence. The article highlights that while many platforms offer AI-related groups, they often fail due to a lack of long-term capability stratification and effective collaboration mechanisms. Users frequently experience initial excitement followed by burnout, information congestion, and a lack of clear goals. 36Kr’s model addresses this by embedding the communities within its established "AI Review" system, ensuring that the content and tools discussed are rigorously tested and relevant. This integration creates a feedback loop where community insights inform reviews, and review data guides community activities, fostering a more dynamic and useful learning environment. Furthermore, the initiative underscores a shift in the value proposition of media platforms in the tech sector. Traditional media models rely heavily on advertising and traffic, which are becoming increasingly difficult to monetize in an algorithm-driven, highly platformized environment. By launching these communities, 36Kr is extending its user services into deeper, more sticky interactions such as membership, consulting, and industry networking. This transition is particularly apt for AI, as it naturally spans information, education, career development, and tool services. The platform leverages its existing audience of tech-savvy entrepreneurs and professionals, who are not just looking for news but for actionable insights, peer validation, and professional opportunities. The community thus becomes a "capability infrastructure," offering a continuous reference system for tool selection, trend analysis, and skill development. The four-layer value proposition outlined in the announcement—lowering entry barriers, converting passive consumption to active practice, facilitating project落地 (implementation), and building professional networks—demonstrates a comprehensive approach to user growth. For beginners, the community provides a curated framework to distinguish between hype and utility, preventing them from being overwhelmed by the sheer volume of available tools. For intermediate users, it offers structured exercises to build muscle memory in prompt engineering and workflow automation. For advanced users, it serves as a hub for resource matching and collaborative opportunities, enabling them to turn their skills into tangible projects or career advancements. This layered approach ensures that users at every stage find immediate value, reducing churn and fostering long-term engagement.

Industry Impact 36Kr’s entry into structured AI community building signals a broader trend in the tech media industry: the move from information providers to service enablers.

As AI tools become more commoditized and capable of answering basic queries independently, the marginal value of pure content services is declining. Differentiation now comes from the ability to filter, validate, and contextualize information within real-world scenarios. By offering verified practices, curated methodologies, and direct connections to projects and peers, 36Kr is positioning itself as a trusted curator in a noisy market. This shift challenges traditional course providers and tool vendors, who often operate in silos, by offering an integrated ecosystem that combines education, evaluation, and networking. The impact extends to the AI education sector itself, where the focus is shifting from "tool education" to "method education" and "organizational education." Early debates centered on model capabilities and product features, but the current challenge is how to embed these tools into teams and career paths. Communities like 36Kr’s serve as the critical interface for this transition, providing a space for collaborative learning and problem-solving that single-point courses cannot offer. This model encourages a culture of continuous improvement and peer-to-peer learning, which is essential for keeping pace with the rapid evolution of AI technologies. It also raises the bar for other media platforms, compelling them to rethink their user engagement strategies beyond simple content distribution. Moreover, the initiative highlights the growing importance of "accompaniment-style" services in the AI economy. Users are no longer satisfied with one-time training; they seek ongoing support that evolves with their skills and projects. This demand for long-term companionship creates new opportunities for platforms that can deliver consistent value through structured programs, regular feedback, and community-driven content. 36Kr’s model suggests that the future of AI education lies in building sustainable communities that act as both learning environments and professional networks, thereby increasing the lifetime value of each user and strengthening the platform’s moat against competitors.

Outlook

The success of 36Kr’s AI communities will depend on several critical factors, primarily the effective implementation of its tiered structure and the quality of ongoing operations. Key challenges include ensuring that the boundaries between the three vertical communities are clear and meaningful, preventing the common pitfall of mixing users at different stages, which can lead to frustration for both novices and experts. Additionally, the platform must maintain a continuous flow of high-quality, actionable content that avoids the trap of being merely noisy without substantive direction. The establishment of robust feedback mechanisms, where user questions receive structured responses and shared cases are refined into reusable knowledge, will be crucial in transforming the community from a chat group into a serious learning environment. From an industry perspective, this launch offers a template for how media platforms can leverage their editorial authority and user insights to build trusted ecosystems. If 36Kr can successfully integrate its content, reviews, and community data into a seamless product matrix, it could set a new standard for AI education services. Observers will be watching to see whether the community generates tangible outcomes, such as successful project collaborations, reusable methodologies, and career advancements for its members. These metrics will determine whether the initiative is a sustainable business model or merely a marketing exercise. Ultimately, 36Kr’s move reflects a maturation of the AI market, where the focus is shifting from acquiring users to nurturing their growth. By providing a structured path from awareness to implementation, the platform is addressing the fundamental need for continuity in AI learning. As the technology continues to evolve, the ability to offer reliable, context-aware support will become a key differentiator. 36Kr’s communities represent a significant step in this direction, aiming to bridge the gap between knowing about AI and effectively using it in professional contexts. The long-term impact will be measured by the depth of engagement, the quality of outcomes, and the strength of the professional networks formed within these vertical communities.