Over the past few years, AI video generation has advanced rapidly. From text-to-video creation to multimodal content, this technology is attracting growing interest from businesses and content creators.
Meanwhile, competition among technology companies is becoming increasingly intense. Models are no longer judged solely by their ability to generate videos. Instead, visual quality, scene consistency, and practical applications are becoming equally important.
Against this backdrop, Alibaba recently introduced HappyHorse 1.1. The new version improves several aspects of the model and reflects the latest developments in the industry. More importantly, it illustrates how the AI video generation market in China is evolving.
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AI Video Generation Continues to Evolve
Over the past few years, video generation models have improved significantly.
Earlier models often produced unnatural movements, unstable characters, and visual inconsistencies. Today, however, their performance has advanced considerably.
The latest systems can generate complex scenes, include multiple characters, and maintain much stronger visual consistency.
At the same time, user expectations continue to rise. Image quality, realism, and smooth motion have become key priorities in model development.
Chinese Companies Continue to Invest in AI Video Generation
China’s leading technology companies are increasing their investment in this field.
Alibaba, ByteDance, Tencent, and Kuaishou are all developing their own video generation models. As a result, competition continues to accelerate innovation.
Some companies focus on improving visual quality. Others prioritise professional applications and content creation.
Meanwhile, the Chinese AI video generation ecosystem is becoming increasingly mature. Consequently, new business applications are emerging across a wide range of industries.
Video Quality Becomes a Key Competitive Factor
Today, simply generating a video is no longer enough.
Users increasingly expect consistent characters, stable scenes, and higher overall quality.
HappyHorse 1.1 addresses several of these challenges. In particular, the model improves motion continuity and visual consistency.
These improvements respond directly to the needs of businesses, marketing agencies, and content creators.
As a result, video quality is gradually becoming one of the main factors that distinguishes competing AI models.
Commercial Applications Continue to Expand
AI video generation is no longer limited to technology demonstrations.
More and more companies are using these tools for advertising, digital marketing, e-commerce, and brand communication.
By automating part of the creative process, businesses can reduce production costs. At the same time, content can be created much faster.
Moreover, brands now have greater flexibility to adapt their content to different markets and audiences.
As a result, commercial applications are becoming one of the main drivers of growth in this sector.
The Future of AI Video Generation
The market continues to evolve at a rapid pace.
In the coming years, models are expected to generate longer, more realistic, and more controllable videos.
Meanwhile, reducing costs will remain a major priority for technology companies.
In addition, the integration of text, images, audio, and video is likely to become even stronger. This convergence could create entirely new forms of digital content production.
Against this backdrop, AI video generation is emerging as one of the fastest-growing segments of artificial intelligence.
STAiiRS
STAiiRS continuously monitors developments in artificial intelligence in China, digital innovation, and the latest trends in AI video generation.
We help international businesses better understand the transformation of China’s technology market and its impact on digital strategies.
As video generation models continue to improve, new opportunities are emerging across content creation, marketing, and digital media. Understanding these developments enables businesses to anticipate the next stage of China’s AI market.
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