Alibaba officially launched Wan3.0, its latest AI video generation model, on August 24, a day after pricing a $10.2 billion share placement to fund its rising AI spending. The model can generate 30-second videos, double the 15-second ceiling of its predecessor, Wan2.7-Video, and well beyond the few seconds most mainstream video generators typically produce.
What sets Wan3.0 apart is its input list. Rather than taking only a text prompt or an image, the model accepts business documents, spreadsheets, slide decks and live web pages and turns them into finished video clips. Alibaba is explicitly positioning that as a route into corporate workflows, where the raw material for a video already sits in a shared drive, rather than as a consumer novelty aimed at prompt-based creativity.
Alibaba said the model has already been used in short drama and film production, advertising and marketing, tourism promotion and music video creation since its public beta opened on August 6. The longer 30-second window enables continuous unbroken shots and more complex camera movement, and the company added a feature that recommends an optimal clip length based on a given prompt, along with an extension capability for stretching a narrative timeline.
Alibaba says the model maintains visual continuity across a clip, addressing the drift and facial distortion common in longer AI-generated footage. Public beta access runs through Alibaba Cloud’s Model Studio and Qwen Cloud platforms.
The launch is directly tied to fresh capital. Alibaba’s placement covered 710 million new shares at HK$112.70 each, a 3.6% discount to the prior close, raising HK$80 billion, or roughly $10.2 billion, the largest-ever primary follow-on offering by a Hong Kong-listed company and the first new share issuance since its 2019 Hong Kong listing. Alibaba said 100% of net proceeds will go toward what it calls full-stack AI capabilities, spanning chips, infrastructure, and model development and deployment. Globally, the deal ranks third among primary follow-on offerings this year, behind only Alphabet and Intel.
Investors did not universally welcome the news. Hong Kong-listed shares dropped sharply as traders weighed the dilution from the new shares against the spending case behind them. That tension traces directly to Alibaba’s most recent earnings, which showed capital expenditure of roughly 67.7 billion yuan, about $9.5 billion, up 75% year-over-year, alongside a net profit that fell about 75% from a year earlier even as cloud revenue grew 45%.
Why Video Remains a Competitive Front
Alibaba has been building toward this moment for years, starting with the open-weight Wan 2.1 family it released for free in early 2025, and pushing simultaneously on multiple fronts since, from its largest language model to date, Qwen3.8-Max, to a dedicated suite of models aimed at controlling physical robots.
Video generation stands out within that portfolio because it remains one of the few areas where a clear technical lead still reliably converts into paying customers, in advertising, short-form drama and tourism marketing, exactly the use cases Alibaba named.
That matters because price competition among Chinese AI labs has grown brutal. Two years of falling inference costs mean even trillion-parameter systems from domestic rivals now benchmark close to leading Western models, with one competing Chinese lab’s flagship recently becoming the cheapest well-known system in the world to run on benchmark tests.
As pricing converges toward a floor, differentiation increasingly has to come from capability rather than cost, and Alibaba is betting that a genuinely longer, document-native video model is a capability gap competitors have not yet closed. Whether $10 billion in fresh equity buys enough of a lead to justify a 75% earnings drop is the question the market will spend the next several quarters answering.
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