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Alibaba’s Huawei Chip Move Tests AI Growth And Margin Resilience
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  • Alibaba Group Holding, NYSE:BABA, is reported to be adopting Huawei’s domestically produced 950PR AI chips after positive internal testing.
  • The move reflects a shift in Alibaba’s AI hardware sourcing as US export restrictions affect access to Nvidia products.
  • The decision highlights a wider push among Chinese tech firms to rely more on local AI semiconductor suppliers.

Alibaba Group Holding, NYSE:BABA, is trading around $122.69, with returns over the past 30 days showing a 14.9% decline and a 21.2% decline year to date. Over a 5-year period, the share price shows a 42.5% decline, while the 3-year return stands at 26.3%, pointing to a mixed profile that many investors may still be reassessing.

Alibaba’s reported plan to incorporate Huawei’s 950PR AI chips could influence how its AI infrastructure is built and scaled over time. For investors tracking NYSE:BABA, this development may be important when considering how the company positions its cloud and AI services, particularly within China’s evolving tech supply chain for advanced chips.

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NYSE:BABA Earnings & Revenue Growth as at Mar 2026
NYSE:BABA Earnings & Revenue Growth as at Mar 2026

📰 Beyond the headline: 0 risks and 3 things going right for Alibaba Group Holding that every investor should see.

Alibaba’s move to adopt Huawei’s 950PR AI chips sits squarely in its push to build out AI and cloud services while managing tighter access to Nvidia hardware due to US export controls. For Alibaba Cloud, having a domestic chip option that is designed to work with Nvidia’s CUDA ecosystem could help keep existing AI workloads running while new ones are tuned for Huawei’s stack. That matters when the group is already spending heavily on AI infrastructure, and when recent results showed net income pressure even as sales for the latest quarter and nine months stayed in CNY 200b plus and CNY 700b plus territory. For you as an investor, a key question is whether Huawei’s chips allow Alibaba to scale Qwen models and AI tools at a cost and performance level that supports its long term AI revenue ambitions without adding more strain to margins.

How This Fits Into The Alibaba Group Holding Narrative

  • Using domestically produced AI chips fits with the narrative that Alibaba is committing large capital to AI and cloud so it can expand enterprise adoption of its Qwen models and related services over time.
  • Reliance on a newer chip ecosystem from Huawei could test execution, as any performance gaps or integration issues would challenge expectations that heavy AI and cloud spending turn into higher quality earnings.
  • The narrative highlights supply chain and AI chip access as risks, and this shift to Huawei partly addresses that, but the specific impact of 950PR availability and pricing is not fully reflected in those assumptions.

Knowing what a company is worth starts with understanding its story. Check out one of the top narratives in the Simply Wall St Community for Alibaba Group Holding to help decide what it's worth to you.

The Risks and Rewards Investors Should Consider

  • ⚠️ Execution risk if Alibaba’s AI teams struggle to optimize large models and enterprise workloads for Huawei’s chips while competitors such as Tencent and Baidu refine their own AI stacks.
  • ⚠️ Profitability pressure if Huawei-based deployments require parallel investment in software and tooling on top of already heavy AI and cloud capex, at a time when recent quarters show lower net income.
  • 🎁 Potential for more secure AI chip supply inside China, which could support Alibaba’s goal of growing cloud and AI usage even if access to Nvidia hardware remains constrained.
  • 🎁 Better alignment between Alibaba’s new AI-focused business group and a domestic chip partner may help it roll out AI-powered tools faster across e commerce, enterprise collaboration and workplace platforms.

What To Watch Going Forward

From here, watch for concrete disclosures on how much of Alibaba’s AI compute runs on Huawei chips, any commentary on training and inference efficiency, and whether management links this shift to future AI revenue milestones. It is also worth tracking how peers using domestic chips respond, and whether Alibaba’s AI products gain visible traction in metrics such as AI-related cloud revenue or usage of Qwen-based services.

To stay informed on how the latest news affects the investment narrative for Alibaba Group Holding, visit the community page for Alibaba Group Holding to follow the top community narratives.

This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

Disclaimer:This article represents the opinion of the author only. It does not represent the opinion of Webull, nor should it be viewed as an indication that Webull either agrees with or confirms the truthfulness or accuracy of the information. It should not be considered as investment advice from Webull or anyone else, nor should it be used as the basis of any investment decision.
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