Alibaba shares surge on AI chip unit plans

Alibaba’s stock rose sharply in U.S. trading Wednesday after the company announced plans to separate its semiconductor division, T-Head, and take it public.

The decision reflects a larger trend among Chinese technology firms to build domestic AI infrastructure as U.S. restrictions tighten on advanced chips from companies like Nvidia.

T-Head moves from internal research to public markets

T-Head began as Alibaba’s internal chip design team, creating custom processors to boost efficiency for Alibaba Cloud and its online retail platforms. Under CEO Eddie Wu’s focus on artificial intelligence, the division is now becoming an independent business with partial employee ownership to better align engineering goals with commercial success.

The change is expected to lead to an initial public offering, though no firm date has been set. The move is intended to tap into the “January boom” of tech listings currently sweeping the Hong Kong and mainland markets.

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T-Head has become central to China’s push to reduce dependence on foreign chip suppliers. Its Parallel Processing Unit, built for large-scale AI tasks, matches the performance of Nvidia’s H20—the most powerful GPU currently allowed in China—but at roughly 40% lower production costs.

This price advantage may become essential as Chinese companies face limits on importing U.S. semiconductors. T-Head recently won a contract with China’s second-largest mobile carrier to install its accelerators in a data center in the northwest, showing growing market acceptance.

Alibaba’s AI efforts begin generating returns

The spin-off arrives as the company’s broader AI initiatives show financial progress. In its latest earnings report, Alibaba posted a 34% increase in cloud revenue compared with the same period last year, up from 26% growth in the prior quarter. Executives credited the jump to rising demand for AI computing, including model training and enterprise cloud services.

AI-related revenue has grown at triple-digit rates for nine straight quarters, indicating the technology is delivering real business value. In e-commerce, AI tools like personalized ad targeting have improved advertising returns by 12%, according to Kaifu Zhang, vice president of e-commerce AI applications.

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Such results stand out in an industry where many firms continue to invest heavily in AI without clear short-term gains. Alibaba says it has already recovered its AI spending in e-commerce and expects the technology to significantly boost sales during major shopping events.

The company’s AI expansion goes beyond cloud and semiconductors. In November, Alibaba introduced Quark AI glasses, a hands-free device that connects with its commerce and payment systems.

For Alibaba, the timing aligns with rising demand for local alternatives to U.S. technology. The company has spent 120 billion yuan on AI and cloud infrastructure in the past year and plans to exceed its original three-year investment target of 380 billion yuan as customer demand increases.

The stock increase reflects investor confidence in Alibaba’s AI strategy, though T-Head’s public offering will depend on market conditions and its ability to compete with both local and global chipmakers. For now, China’s economic policies appear to favor companies that invested early in AI, positioning them to benefit as the industry evolves.