Guotai Haitong: Tencent (00700) increases its bets on the short drama track, and upstream short drama production companies are expected to usher in development dividends.

date
06:22 13/10/2026
avatar
GMT Eight
Tencent recently launched the "Green Bubble Short Drama" mini-program, increasing its bets on the short drama track. The product is produced by the WeChat Short Drama Content Center and focuses on "free good dramas, watch with one tap."
Guotai Haitong released a research report stating that Tencent (00700) has launched the "Lpaopao Short Drama" mini-program. Leveraging WeChat's massive user base and mini-program ecosystem, the product is expected to achieve an extremely low user reach threshold. In the long term, Lpaopao, relying on WeChat's social ecosystem, opens up a brand-new distribution channel for short dramas, which is expected to create incremental content demand and enrich monetization options for short drama producers. A multi-platform distribution model can reduce content producers' dependence on a single platform, and high-quality works can leverage WeChat's social virality to amplify reach and revenue. Upstream short drama production companies are expected to usher in development dividends. Guotai Haitong's main points are as follows: Tencent launches the "Lpaopao Short Drama" mini-program, increasing its bets on the short drama track, and upstream short drama production companies are expected to usher in development dividends. Tencent recently launched the "Lpaopao Short Drama" mini-program, doubling down on the short drama track. The product is produced by the WeChat Short Drama Content Center and focuses on "free good dramas, watch with one tap." Relying on the WeChat mini-program format, it requires no separate app download, and its viewing interaction logic is similar to that of Channels. It adopts a business model of free full-series access and advertising monetization. The bank believes that the launch of Lpaopao Short Drama is an important move by Tencent in the competition for user time, and short dramas, comic dramas, and AI dramas have become new main lines of competition in the content ecosystem. Leveraging WeChat's massive user base and mini-program ecosystem, the product is expected to achieve an extremely low user reach threshold. In the long term, Lpaopao, relying on WeChat's social ecosystem, opens up a brand-new distribution channel for short dramas, which is expected to create incremental content demand and enrich monetization options for short drama producers. A multi-platform distribution model can reduce content producers' dependence on a single platform, and high-quality works can leverage WeChat's social virality to amplify reach and revenue. Upstream short drama production companies are expected to usher in development dividends. Meta Muse continues to be highly popular in North America, bringing imagination space for C-end AI applications. Meta's personal AI agent Muse, launched on September 8, quickly became popular overseas. According to Qimai Data, on September 18, the app topped the U.S. iOS free chart and has remained at the top consecutively. The bank believes that in the early stage of this round of AI industrialization, application scenarios are more concentrated in B-end areas such as Coding, multimodal content creation including short dramas and comic dramas, and enterprise knowledge bases. The core value is focused on cost reduction and efficiency improvement for enterprises. Most C-end products for ordinary consumers still remain at the Q&A level and have not yet truly achieved a closed loop of agent capabilities for "autonomously handling tasks on behalf of users." The rapid breakout of Meta Muse is of landmark significance for the industry, marking a substantive breakthrough for AI agents on the C-end: the product positioning has shifted from a passive-response dialogue model to a personal intelligent agent capable of undertaking complex goals, executing tasks across platforms, and running continuously in the background, able to complete life-related matters such as sending emails, shopping, trip bookings, and form filling on behalf of users, reconstructing the product form and usage paradigm of C-end AI. Risk warning: changes in consumer preferences, and AI application progress falling short of expectations.