Specific investment plans of major Chinese hyperscalers

Here are the specific AI infrastructure investment plans of China's major hyperscalers, based on the latest official announcements and financial reports.

🏢 Alibaba: The All-In Bet

Alibaba has announced the most aggressive investment plan, with a clear focus on full-stack self-sufficiency.

• Investment Scale: Plans to invest at least 380 billion yuan (approx. $56 billion USD) in cloud and AI infrastructure from 2026 to 2028 -1-10. This sum exceeds its total cloud/AI spending over the entire prior decade, and the final figure is expected to be far higher-6.

• Current Spending: Capex reached 126.1 billion yuan in FY2026, up 46.6% year-over-year, with Q4 spending at 26.9 billion yuan -5.

• Why the urgency? Alibaba's CEO confirmed every available AI server is already running at full capacity-10.

• Strategic Priorities:

• Self-Developed Chips: Its in-house "Pingtouge" AI chips (Zhenwu series) are already deployed and driving a growing portion of cloud services -10. Over 60% of its AI compute capacity now serves external business customers -6.

• MaaS (Model-as-a-Service): The "Bailian" MaaS platform is the key revenue driver, with customer count growing 8x year-over-year-5. AI model ARR (annual recurring revenue) is on track to hit 30 billion yuan by year-end -6.

• Full-Stack Synergy: The "TongYi Lab (models) + Cloud + Pingtouge (chips)" structure creates a vertically integrated feedback loop from silicon to applications -1.

💻 Tencent: The Pragmatic Accelerator

Tencent is ramping up spending in a more phased manner, heavily focused on deploying domestic chips to unlock cloud capacity.

• Investment Scale: Q1 2026 capex reached 37 billion yuan (payment basis), with 31.9 billion yuan recorded in the quarter—up 63% sequentially and hitting a single-quarter record-2-5-7.

• Full-Year Projection: Analysts forecast total 2026 capex could nearly double 2025's level to exceed 165 billion yuan by 2027 -10.

• Strategic Priorities:

• Ending the GPU Shortage: The biggest bottleneck is insufficient GPUs to meet customer demand. The strategy is to aggressively integrate domestic GPUs (from Huawei and others) starting in H2 2026 to expand capacity -2-7.

• Monetizing the Investment Portfolio: CFO has noted the company is "accelerating the monetization process of some investment portfolios" specifically to fund AI expansion -2.

• Embedding AI into Ecosystem: The "Hunyuan 3.0" model is being integrated across products (Yuanbao, WorkBuddy), with token usage increasing tenfold from the previous version -2.

🔍 Baidu: The AI-First Pivot

Baidu has transformed into an AI-first company, with over half its revenue now coming from AI-related businesses.

• Investment Scale: AI business revenue reached 13.6 billion yuan in Q1 2026, accounting for 52% of core business revenue -4.
• Kunlun Chip Deployment: Its in-house Kunlun P800 chips are now powering production. In Q1 alone, Baidu delivered multiple 10,000-card clusters, and these domestic chips completed the core training for the Wenxin 5.1 model -4.
• AI Cloud Leadership: Baidu AI Cloud revenue grew 79% year-over-year to 8.8 billion yuan, winning 25 major government/enterprise projects worth 1.25 billion yuan—nearly 5x the amount of its closest competitor -4.

🐝 Huawei & The Rise of Domestic Infrastructure

While Huawei Cloud is a hyperscaler, Huawei's broader role as the foundational chip supplier is shaping all the above plans.

• The Ascend Engine: Huawei is aggressively ramping production of its Ascend AI chips, which are the primary "domestic GPU" that Alibaba and Tencent are adopting -3-8.

• Production Targets for 2026:

• Ascend 910C: Approximately 600,000 chips (roughly double 2025's output) -8.

• Ascend 950 PR: Approximately 750,000 chips, with mass production starting mid-2026 -8.

• The "Token Factory" Model: Huawei is commercializing the "Token Factory" concept in partnership with local governments. A flagship project in Wuxi, backed by a 16.5 billion yuan government initiative, will use Huawei's Ascend 384 super-node clusters to provide token-generation-as-a-service -3.

📝 Summary Table

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