快手入局AI互动内容 大厂抢滩“下一代内容”入口

This article highlights that all major domestic leading UGC content platforms have collectively entered the new track of AI interactive content, bringing a rare new opportunity for ordinary creative creators. Key takeaways are as follows:

1. AI interactive content is the fourth content format, distinct from graphic content, short video and live streaming. It covers three major directions: interactive storylines, AI character chat, and lightweight interactive apps. Its core feature is that users shift from content bystanders to participants, gaining immersive personalized experiences.

2. This track has emerged mainly because the traditional short-video and live-streaming sectors are already mature, with significantly slowed user engagement growth, severe content homogenization, and capped traffic for ordinary creators. Meanwhile, the widespread adoption of AI tools has drastically lowered production barriers, allowing non-technical creators to produce interactive content independently.

3. Major platforms have now launched AI interactive content co-creation programs with supporting traffic incentives, opening entry to all creators. This is the lowest-barrier, highest-potential window of opportunity seen in recent years, and creative ordinary people can seize the chance to capture first-mover dividends.

China’s leading content platforms are collectively laying out the AI interactive content track. This new content format will reshape content consumption logic, bringing new marketing and growth opportunities for brands. Key takeaways are as follows:

1. Shifts in consumer trends and user behavior: Users are no longer satisfied with passively receiving brand content, and increasingly pursue immersive, personalized participatory experiences. User engagement will gradually shift to AI interactive content, so brands need to adjust their marketing strategies to adapt to generational changes in user behavior.

2. New marketing scenario opportunities: AI interactive content comes in multiple forms including interactive storylines, AI agents and lightweight interactive apps. Brands can build immersive marketing content tailored to their products, which delivers stronger interactivity and appeal than traditional content, and is more likely to win user preference.

3. Guidance for capturing early dividends: The track is still in the early incubation stage, and all major platforms are offering traffic support for new content. Brands that enter early can prioritize capturing traffic dividends, and can secure an early position by collaborating with promising new creators to build differentiated brand advantages.

As the next-generation content format, AI interactive content brings new incremental growth opportunities and clear layout directions for sellers. Key takeaways are as follows:

1. New incremental traffic opportunities: Traditional content tracks including graphic content, short video and live streaming are already severely homogenized, pushing traffic acquisition costs higher and capping traffic growth for sellers. AI interactive content, however, is a key prioritized track for all major leading platforms, which are allocating substantial traffic support to new content. Sellers entering the track can acquire incremental users at low cost.

2. Entry barriers have been drastically lowered: Following the popularization of AI-assisted tools, the barrier to producing AI interactive content is now within reach for ordinary creators. Sellers do not need to build a professional technical team—they can create publishable interactive content as long as they can write scripts and have creative ideas, keeping trial-and-error costs very low.

3. Opportunity and risk reminder: The track is still in its early stage with industry rules yet to be finalized, and the risk of missing out is far greater than the cost of trial and error. Sellers can start early by integrating their products into interactive storylines, building exclusive AI recommendation roles and other efforts aligned with their product categories, to capture first-mover advantages.

The rise of the AI interactive content track brings new inspiration and opportunities for factories advancing digital transformation and expanding business. Key takeaways are as follows:

1. Adjustments to product design and production directions: Today’s consumers increasingly demand personalized, immersive experiences, and the rise of AI interactive content reflects a broader demand shift from passive reception to active participation. Factories can align with this interactive user demand during the product design and development phase, by developing new customizable and interactive products to fit new consumer trends.

2. New business opportunities: All major leading content platforms are doubling down on the AI interactive content track, and large volumes of traffic will gradually flow into this new scenario. Factories can connect with the new platform ecosystem early, open up new sales channels through collaboration with AI interactive content creators, and unlock new growth points for sales.

3. Insights for digital transformation: AI technology has drastically lowered barriers across all links—work that previously required a professional team can now be completed by ordinary creators. Factories can leverage AI tools to lower barriers to digital transformation and content production and operation, and adapt to the new e-commerce environment faster.

The rise of the AI interactive content track brings new market opportunities and clarifies service directions for service providers. Key takeaways are as follows:

1. Industry development trend: AI interactive content is widely seen as the next-generation content entry that could disrupt existing content formats. All major domestic UGC platforms have already completed their layout, the track is in a phase of rapid early growth with fast-expanding market demand, and it boasts very broad future development space.

2. Core customer pain points: A large number of non-technical ordinary creators currently want to enter the AI interactive content track, but still face barriers in tool proficiency and production experience. Platforms also face a large gap in high-quality content to fill the new track, leaving substantial unmet service demand.

3. Solution directions: Service providers can develop low-barrier, easy-to-use AI interactive content production tools, and provide supporting services including templates, training and operation guidance for ordinary creators. They can also provide technical solutions for platforms, connect with platforms’ co-creation programs, and enter this emerging market.

The collective layout of AI interactive content by leading platforms offers referential experience and direction for all types of platform operators. Key takeaways are as follows:

1. Core motivations for entering AI interactive content: After traditional content formats reached maturity, the industry has faced problems including slowing user engagement growth, severe content homogenization, and capped creator traffic. Platforms need new content formats to activate their ecosystem, meet the shared demands of both supply and demand sides, and consolidate their ecosystem barriers.

2. Referential mature layout paths: Leveraging existing mature main-site traffic, platforms can start with lightweight scenarios such as interactive short dramas, AI chat and mini-games, to first cultivate user habits and validate data models. Meanwhile, they can build an internal "creation-distribution-consumption-following-traffic回流" closed loop to keep traffic and value within the platform ecosystem, and deliver traffic backflow benefits to creators.

3. Trend indication: The final form and business model of AI interactive content are still unproven, but in the early stage of the track, the risk of absence is far greater than the cost of trial and error. Platforms need to enter early and build a working closed loop first to have a chance to define the rules of next-generation content and claim industry leadership.

The rise of AI interactive content is an important new development in China’s content industry with high research value. Key takeaways are as follows:

1. New industry development: All major domestic UGC platforms have collectively entered the AI interactive content track. AI interactive content is recognized as the fourth content format after graphic content, video and live streaming, with the core change of shifting users from passive receivers to content participants. It is expected to drive the next round of user engagement growth and become the next-generation content entry.

2. Underlying logic behind the track’s growth: On the demand side, growth of traditional content tracks has capped, and platforms, creators and users all crave new content formats, creating strong demand pull. On the technology side, the popularization of AI-assisted tools has drastically lowered production barriers, enabling non-technical creators to produce interactive content and nurturing a potential pool of creators from all walks of life, creating technological push. The track’s growth is driven by both supply and demand forces.

3. New directions for future research: At present, the business model of AI interactive content is still immature, the track’s final landscape is unclear, and industry rules have not yet formed. Whether the internal closed-loop model built by platforms can be sustainable, and how the new track will reshape the content industry landscape, are both worthy of in-depth research, representing an important new research topic in the content industry.