Alibaba's AI Video Model Rises to No. 2 in Global Rankings with 40% Launch Discount
Alibaba's AI video model rises to No. 2 in global rankings with 40% launch discount, as OpenAI's Sora and ByteDance's Seedance fall away, with a market size expected to reach $1.4 billion by 2028.

Alibaba's AI video model has risen to No. 2 in global rankings with the release of HappyHorse 1.1, a major upgrade to its AI video generation model, which delivers production-ready video synthesis across core content creation scenarios.
Introduction to HappyHorse 1.1
The model is now live on Alibaba Cloud Model Studio with full API access for enterprise customers and developers, accompanied by a 40% sitewide launch discount for the first two weeks. This release arrives at a moment of remarkable upheaval in the AI video generation market — and Alibaba appears keenly aware of the timing.
Market Context
OpenAI discontinued Sora after it proved financially unsustainable, with 75% of its users switching to alternative platforms. ByteDance indefinitely shelved the international rollout of Seedance 2.0 following a barrage of 250 copyright complaints from Hollywood studios. For enterprise procurement teams that had been evaluating or integrating those tools into marketing, advertising, and content production workflows, the competitive landscape has become increasingly uncertain.
According to a recent report by VentureBeat, the global AI video generation market is expected to reach $1.4 billion by 2028, growing at a CAGR of 35%.
What the Sceptics Say
Some critics argue that Alibaba's HappyHorse 1.1 may not be able to sustain its current market position due to the high computational costs associated with AI video generation. Additionally, the lack of standardization in the industry may hinder the model's adoption across different platforms and use cases.
What This Means for the Industry
With Alibaba's rise to No. 2 in global rankings, the company is likely to increase its market share in the AI video generation market over the next 6-12 months. Other companies, such as Microsoft and Google, may need to invest heavily in their own AI video generation capabilities to remain competitive. Meanwhile, startups like Anthropic may see an opportunity to fill the gap left by OpenAI's Sora and ByteDance's Seedance.
Key Takeaways
- Engineers: Focus on developing efficient algorithms that can reduce computational costs and improve the scalability of AI video generation models.
- Investors: Consider investing in companies that are developing standardized platforms for AI video generation, as this may help to drive adoption across the industry.
- Business Leaders: Evaluate the potential cost savings and revenue opportunities associated with adopting AI video generation models, and consider partnering with companies like Alibaba to access their technology.
- Consumers: Expect to see more personalized and engaging content as AI video generation models become more widespread, but also be aware of the potential privacy concerns associated with these technologies.
Further Reading on AnalyticsGlobe
Sources
- VentureBeat: Alibaba's AI video model rises to No. 2 in global rankings
- SiliconANGLE: OpenAI offers feds a stake, Anthropic gets out of AI model jail
- TechNode: ByteDance's Doubao and Alibaba's Qwen to shut down AI agent features
As engineers, investors, and business leaders, it is essential to stay up-to-date with the latest developments in the AI video generation market and consider the potential implications for their respective fields. Investors should monitor the market closely for opportunities to invest in companies that are driving innovation in this space. Business leaders should assess the potential benefits of adopting AI video generation models and consider partnering with companies like Alibaba to access their technology.
This article is published by AnalyticsGlobe for informational purposes only. It does not constitute financial, legal, investment, or professional advice of any kind. Always conduct your own research and consult qualified professionals before making any decisions.
Priya Mehta
Published under the research and editorial standards of AnalyticsGlobe. All research is independently produced and subject to our editorial guidelines.