Alibaba stock just hit its highest point in almost four years, and there’s a good reason why investors are getting excited. The Chinese tech giant announced it’s planning to spend even more money on artificial intelligence than its already ambitious $50 billion target, joining a global spending spree that’s reshaping the tech industry.
CEO Eddie Wu dropped some pretty big numbers during a developer conference in Hangzhou this week. He believes the world will pour about $4 trillion into AI development over the next five years, and Alibaba doesn’t want to be left behind.
Alibaba Commits More to AI as Cloud Division Launches New Data Centers
The company had already committed to spending more than 380 billion yuan (that’s roughly $53 billion) on AI models and infrastructure over three years back in February. Now Wu says they’re planning to add even more to that figure.
The market loved this news. Alibaba’s shares jumped as much as 9.7% in Hong Kong, and the excitement spread to other Chinese tech companies too. Chipmakers like ACM Research and Naura Technology saw their stocks rise 15% and 10% respectively.
Wu’s confidence seems to be paying off already. The company’s AI-related products saw triple-digit growth in the most recent quarter, while its cloud division, which runs services from the US all the way to Australia, posted an impressive 26% jump in sales. That made cloud computing Alibaba’s fastest-growing business unit, and the company’s stock has more than doubled this year.
But Alibaba isn’t just throwing money around randomly. Wu explained that demand for AI infrastructure has grown much faster than anyone expected. “The industry’s development speed far exceeded what we expected, and the industry’s demand for AI infrastructure also far exceeded our anticipation,” he told the conference.
The company has big expansion plans too. Its cloud division is getting ready to launch its first data centers in Brazil, France, and the Netherlands over the coming year, showing Alibaba’s serious about competing globally.
Some pretty notable investors are taking notice. Cathie Wood, known for her bold tech bets, recently bought back into Alibaba for the first time in four years. She’s particularly interested in the company’s cloud business and its large language models, even as she acknowledges China’s consumer economy is struggling.
Alibaba Leads China’s $32 Billion AI Infrastructure Push
Alibaba isn’t alone in this AI spending race. Chinese competitors like Tencent, Baidu, and Huawei are all pouring unprecedented amounts of money into artificial intelligence.
According to Bloomberg Intelligence, China’s four biggest internet companies, Alibaba, Tencent, Baidu, and JD.com – could spend more than $32 billion on AI infrastructure and services in 2025 alone. That’s a huge jump from the nearly $13 billion they spent in 2023.
The company showed off some of its latest work at the conference, unveiling its new Qwen3-Max large language model along with other improvements to its AI offerings. But like other Chinese companies, Alibaba faces some challenges, particularly around access to Nvidia’s AI processors, which are essential for training advanced AI models.
That’s why Alibaba is working on its own hardware solutions. Wu talked about the company’s innovations in chips, faster computers, and networking equipment, all crucial parts of data centers. They’ve already landed a significant customer: China Unicom, the country’s second-largest wireless carrier, will use Alibaba’s “T-Head” AI accelerators.
Interestingly, while Alibaba wants to compete with Nvidia in chips, it’s still willing to work with the American company in other areas. The Chinese tech giant announced it’s integrating Nvidia’s development tools into its cloud platform, giving customers the ability to build AI services for real-world applications like robots and self-driving cars.
As AI continues to transform industries worldwide, Alibaba’s massive investment plans signal the company’s determination to stay competitive in what’s becoming one of the most important technological races of our time.
