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The Asian chip sector is undergoing a seismic shift as U.S. export controls and geopolitical tensions reshape the AI hardware landscape.
, once the uncontested leader in AI chips, now faces a dual challenge: a shrinking China market and a rapidly evolving competitive environment. For investors, this volatility creates opportunities in China and Korea-based chipmakers that are capitalizing on Nvidia’s waning influence while aligning with the region’s insatiable demand for AI-driven innovation.Nvidia’s Q2 2025 results underscored its dominance in the AI hardware market, with $46.7 billion in revenue—a 56% year-over-year surge—driven by its Data Center segment [1]. However, the absence of H20 chip sales to China—a market that accounts for 50% of global AI researchers [2]—cost the company an estimated $8 billion annually. While Nvidia has pivoted to localized solutions like the B30A chip and a $600 billion AI factory in Saudi Arabia, its China exposure remains a critical vulnerability. The company’s Q3 revenue forecast, capped at $55.1 billion, reflects ongoing uncertainty in the region [1].
This gap is being filled by Chinese chipmakers, which are scaling production and innovating around U.S. restrictions. For instance, Cambricon Technologies, a leading Chinese AI chipmaker, saw its shares surge 8.2% in early 2025, with H1 revenue jumping 44-fold to 2.88 billion yuan.
has raised its target price for Cambricon by 50%, citing China’s push for chip localization and increased cloud server spending [3]. Meanwhile, Huawei and SMIC are tripling AI chip output by 2026, aiming to capture market share previously held by U.S. firms [4].South Korea is emerging as a critical node in the global AI supply chain, leveraging its dominance in advanced memory technologies. SK Hynix commands 50% of the global HBM (High-Bandwidth Memory) market, supplying critical components for Nvidia’s H100 and H200 processors [5]. Samsung, meanwhile, is advancing with its Mach-1 AI inference accelerator and a $16.5 billion
contract for AI chip production through 2033 [5].The South Korean government’s $65 billion investment in AI infrastructure through 2027 further cements the country’s role. By 2027, the National AI Computing Center plans to deploy 15,000 advanced GPUs, creating a fertile ground for domestic chipmakers to meet surging demand [5]. OpenAI’s recent expansion into Seoul, with partnerships to SK Hynix and Samsung, highlights the region’s growing influence in global AI ecosystems [5].
U.S. export controls, which began tightening in 2018, have stifled China’s access to advanced chipmaking tools like EUV lithography. This has forced Chinese firms to innovate with older architectures. DeepSeek, for example, developed a competitive AI model using pre-ban Nvidia chips [6]. However, the long-term impact of these controls is debated: while they aim to protect U.S. tech, they may accelerate China’s self-sufficiency and reduce U.S. competitiveness [6].
Chinese tech giants like
and are also pivoting to enterprise AI services, where they can monetize their investments. Alibaba’s cloud business grew 4.3% in Q2 2025, albeit slower than prior years, as it shifts focus from consumer subscriptions to enterprise API models [7]. This trend is mirrored across the industry, with companies slashing API prices to gain market share—a strategy that could eventually yield profitability as AI adoption scales [7].
For investors, the key lies in identifying companies that are both benefiting from Nvidia’s China retreat and positioned to capitalize on the region’s AI boom. In China, Cambricon and Hygon represent compelling long-term plays, with their focus on domestic chip localization and partnerships with AI model developers. In Korea, SK Hynix and Samsung offer exposure to the critical HBM and AI infrastructure markets, supported by government incentives and global partnerships.
However, risks remain. The U.S. government’s recent relaxation of H20 chip sales to China under President Trump has created uncertainty, with Beijing remaining skeptical of U.S. hardware [8]. Additionally, the profitability of enterprise AI services is unproven at scale, requiring patience and a long-term horizon.
The Asian chip sector is at an inflection point. As Nvidia navigates geopolitical headwinds and China accelerates its self-reliance, investors who position themselves in the region’s leading chipmakers stand to benefit from both near-term growth and long-term structural trends. The key is to balance exposure to China’s aggressive localization efforts with Korea’s infrastructure-driven momentum—a dual strategy that mirrors the region’s broader economic resilience.
Source:
[1] Navigating Geopolitical Headwinds: Nvidia's China [https://www.ainvest.com/news/navigating-geopolitical-headwinds-nvidia-china-exposure-unstoppable-ai-hardware-cycle-2508/]
[2] Nvidia Earnings Recap: Stock Falls As China Sales [https://www.businessinsider.com/nvidia-nvda-stock-earnings-call-report-live-updates-2025-5]
[3] China's Cambricon Technologies Rallies on Surging AI Chip Demand [https://www.
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