Greater ChinaAI & Machine Learning

Kuaishou beats estimates as Kling AI video generator’s revenue jumps 300%

Chinese short-video company Kuaishou Technology beat estimates with 33.7 billion yuan (US$5 billion) in revenue in the first quarter, driven by the rapid commercialisation of its flagship artificial intelligence video generator, Kling AI.

Kuaishou Technology has delivered a clear signal to the Chinese tech sector: generative AI can make money, and fast. The short-video company posted first-quarter revenue of 33.7 billion yuan (US$5 billion), beating analyst estimates by a comfortable margin. The headline number, however, is less striking than what is underneath it. Revenue from Kling AI, the company’s flagship artificial intelligence video generator, surged 300% year-on-year. That figure is not just a quarterly boast. It represents a fundamental shift in how Chinese internet firms are approaching AI monetization. For months, the narrative around generative AI in China has been dominated by heavy investment, high computing costs, and uncertain payoffs. Kuaishou is now showing that the payoff can arrive sooner than many expected, at least in the short-video ecosystem where user attention is already monetized at scale. Kling AI allows users to generate short video clips from text prompts or images. It is integrated directly into Kuaishou’s platform, meaning creators can produce content without leaving the app. The tool is not free; users pay per generation or via subscription tiers. That direct revenue stream, combined with increased creator activity and longer watch times, is driving the growth. The company has also begun licensing Kling’s technology to third-party advertisers and content studios, adding another revenue channel. What a casual observer might miss is the competitive pressure this creates. Kuaishou’s main rival in short video, Douyin, has its own AI video tools, but has been slower to commercialize them aggressively. ByteDance, Douyin’s parent, has focused more on large language models and enterprise AI. Now, with Kuaishou proving that AI-generated video can juice both revenue and user engagement, Douyin faces a strategic dilemma: accelerate AI video monetization or risk losing ad market share in a segment where margins are already razor-thin. The 300% jump also highlights a broader trend in China’s AI landscape. Unlike the US, where many generative AI tools remain experimental or subscription-based for niche users, Chinese platforms are embedding AI into existing high-traffic products. Kuaishou had over 400 million daily active users in the quarter. Even a small uptick in per-user revenue from AI features can translate into hundreds of millions of yuan. That is the math that makes Kuaishou’s model so potent. There is a risk, of course. Rapid commercialization can lead to quality control issues, user fatigue, or regulatory scrutiny. China’s cyberspace administration has been tightening rules on AI-generated content, requiring clear labeling and content moderation. Kuaishou has so far navigated this without major incidents, but the regulatory environment remains fluid. Still, the first-quarter results make one thing plain: Kuaishou has turned its AI bet into a revenue engine while competitors are still debating how to price their tools. The next quarter will show whether Douyin responds with a similar push, or cedes the early lead in the race to monetize generative video at scale.

Chinese short-video company Kuaishou Technology beat estimates with 33.7 billion yuan (US$5 billion) in revenue in the first quarter, driven by the rapid commercialisation of its flagship artificial intelligence video generator, Kling AI.

Kuaishou’s 300% Kling AI revenue surge proves generative AI can monetize fast in China, pressuring rivals to commercialize or lose the short-video ad race.

The development adds to a wider Greater China ai & machine learning story in which companies are being judged on execution, capital access, regulatory fit and the credibility of their regional expansion plans.

For business readers, the important question is whether this becomes an isolated announcement or part of a more durable operating pattern across customers, financing channels, partners and public-market expectations.

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