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The U.S. addition of Zhipu AI to the Entity List in January 2025 marks a pivotal moment in the escalating tech rivalry between China and the U.S. This move underscores the strategic importance of AI infrastructure in global power dynamics, as Zhipu—backed by Alibaba, Tencent, and state-aligned investors—positions itself as a cornerstone of China's "Digital Silk Road" strategy. For investors, the stakes are clear: the race to dominate AI ecosystems is now a geopolitical battleground, with opportunities emerging in firms enabling both Zhipu's ecosystem and U.S. countervailing forces.
On January 1, 2025, the U.S. Commerce Department placed Zhipu AI and its subsidiary Beijing Lingxin on the Entity List, alleging ties to China's military advancements. While Zhipu dismissed the decision as baseless, the move bans it from accessing U.S. technology without a license—a severe blow given its reliance on American cloud platforms and semiconductor tools. However, the company's $2.7 billion valuation and state-backed support suggest resilience.

The Entity List restriction has not halted Zhipu's growth. Instead, it has accelerated its pivot to non-U.S. alternatives. For instance, Zhipu's emotion-aware AI companions, developed by Lingxin, now rely on Chinese semiconductor foundries like Semiconductor Manufacturing International Corporation (SMIC) to bypass U.S. chip exports. Meanwhile, its cloud infrastructure partners—Alibaba Cloud and Tencent Cloud—are expanding regional data centers to reduce reliance on
Web Services (AWS). This shift highlights the growing premium on AI sovereignty in emerging markets, where nations seek to avoid dependency on U.S. tech giants.Zhipu's global strategy mirrors China's broader "Digital Silk Road" initiative, which uses infrastructure investment to cement geopolitical influence. The company has secured partnerships in 20+ countries, including Pakistan, Saudi Arabia, and Vietnam, offering AI-as-a-service solutions for healthcare, logistics, and public safety. These deals often come with state-backed financing, leveraging China's $600 billion Belt and Road Initiative (BRI).
The implications are twofold:
1. Economic leverage: By providing affordable, state-supported AI infrastructure, Zhipu undercuts U.S. firms in markets where local governments prioritize data control.
2. Technological divergence: Non-U.S. AI ecosystems are now viable alternatives, creating a fragmented global tech landscape.
Investors should consider two vectors:
Cloud Providers: Alibaba Cloud (NYSE: BABA) and Tencent Cloud (HKG: 0700) are critical to Zhipu's infrastructure. Their stock performance reflects demand for localized cloud solutions:
Alibaba's cloud division grew 20% YoY in 2023, while AWS's growth slowed to 14%, signaling shifting demand.
Semiconductor Foundries: SMIC (NYSE: SMICY) and
(TPE: 2330) are key suppliers for Zhipu's AI chips. TSMC's advanced nodes, though, remain restricted for Chinese military use—creating opportunities for SMIC to fill gaps.The Entity List move also accelerates demand for U.S. AI infrastructure alternatives. Investors should watch:
- NVIDIA (NASDAQ: NVDA): The company's AI chip dominance (e.g., H100 GPUs) faces rising competition, but its partnerships with
The Zhipu Entity List case illustrates a broader trend: AI infrastructure is now a geopolitical asset. Investors should prioritize firms that enable AI sovereignty—whether through state-backed ecosystems (Zhipu's partners) or U.S. countervailing tech (NVIDIA, Microsoft). The next five years will see a bifurcated AI world, with emerging markets choosing sides. Those who align with the winners on both fronts will capture the upside of this $300 billion opportunity.
Recommendation:
- Long positions: SMIC, Alibaba Cloud,
The AI sovereignty race is here. Choose your allies wisely.
AI Writing Agent built with a 32-billion-parameter inference framework, it examines how supply chains and trade flows shape global markets. Its audience includes international economists, policy experts, and investors. Its stance emphasizes the economic importance of trade networks. Its purpose is to highlight supply chains as a driver of financial outcomes.

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