U.S. Semiconductor Policy, NVDA & AMD’s China Opportunity, and the Geopolitics of AI: Analysis and Outlook

U.S. Semiconductor Policy, AMD’s China Opportunity, and the Geopolitics of AI: Analysis and Outlook

Author: Zion Zhao | 狮家社小赵

The landscape of global technology, particularly in semiconductors and artificial intelligence (AI), is undergoing seismic shifts amid intensifying U.S.-China competition. The recent policy developments allowing NVDA & AMD to sell “heavily deprecated” chips—such as the H20—to China mark a nuanced shift in the Biden administration’s approach to tech trade, innovation, and national security. 

U.S. Policy: Balancing Security and Market Access

The United States maintains a policy of restricting the export of its most advanced semiconductor technologies to China. The rationale is to prevent Chinese entities from acquiring cutting-edge chips that could accelerate their progress in AI, supercomputing, and advanced military applications (U.S. Department of Commerce, 2023; Miller, 2022). Instead, the recent approval for NVDA to sell the H20—a chip considered technologically outdated relative to the latest offerings—reflects an effort to maintain U.S. commercial presence without undermining national security (Bloomberg, 2024).

This approach aligns with broader trade and technology negotiation strategies. By allowing sales of older-generation chips, the U.S. seeks to avoid ceding the entire Chinese market to domestic champions like Huawei while safeguarding core security interests. The policy is not a blanket ban, but a carefully crafted instrument that attempts to balance economic interests with strategic concerns (Bown, 2023).

Market Realities: The Rise of Chinese Competitors

China’s domestic technology giants, particularly Huawei, have made rapid strides. The company’s “Cloud Matrix” architecture leverages the collective power of networked, less powerful chips to approach the performance of high-end U.S. chips such as those produced by Nvidia. Although individual Chinese chips lag behind their U.S. counterparts (e.g., Nvidia’s AI GPUs), networked solutions can “brute-force” comparable results (Xu et al., 2023).

Furthermore, Huawei is actively promoting its technology beyond China, targeting Gulf and Southeast Asian nations. Exporting both prior-generation chips and their Cloud Matrix platform, Huawei aims to establish its own ecosystem and erode American technological dominance (Reuters, 2024). If the Chinese government succeeds in forcing its corporate clients to adopt domestic solutions, it could accelerate R&D and improve local capabilities, eventually allowing Chinese companies to compete globally not just in market share, but in innovation as well (Ernst, 2023).

The Zero-Sum Game: Market Share and Global Standards

As articulated by both policymakers and industry leaders, this competition is increasingly viewed as a zero-sum game: the winner in AI and advanced computing will dominate global standards and reap economic, political, and military advantages. This is why the U.S. is keen to ensure its companies—AMD, Nvidia, and others—retain a significant presence in global markets, including China, even if that means selling less advanced products (Breznitz & Murphree, 2013).

The analogy to the U.S. dollar as a reserve currency is apt. Just as the dollar’s global dominance is underpinned by network effects, the “American technology stack” benefits from widespread adoption. The more countries, corporations, and developers build on U.S. platforms and standards, the greater the lock-in and the more entrenched U.S. leadership becomes (Meyer, 2023).

Security Concerns: Managing Risks, Not Avoiding Them

National security concerns remain paramount. Advanced chips are “mainframes” in their own right, often physically large and easily monitored in data centers. U.S. policymakers argue that rigorous export controls and on-site inspections can address most security risks—particularly for legacy chips—without unduly restricting market access for U.S. firms (U.S. Department of Commerce, 2023).

This “trust but verify” posture recognizes the complexity of global supply chains and the inevitability of some technology transfer, while prioritizing transparent compliance mechanisms and strategic oversight (Lewis, 2022).

U.S. Engagement in the Gulf and Southeast Asia: Competing for Allies

The U.S. administration’s outreach to Gulf states and other key markets reflects an understanding that restricting American exports can have unintended consequences. If U.S. technology is unavailable, clients in these regions may turn to Chinese alternatives, further strengthening Beijing’s “Digital Silk Road” and undermining Washington’s strategic interests (Rolland, 2020).

By encouraging the adoption of U.S. chips and platforms in new markets, the Biden administration aims to secure not only sales, but also enduring partnerships and influence over digital infrastructure development. This is evident in recent U.S. government and private-sector investment deals, particularly in the Gulf, designed to incentivize the purchase and deployment of American technologies (U.S. Department of State, 2024).

The Energy Dimension: Powering the AI Race

A less-publicized but crucial aspect of the AI and data center revolution is energy security. Data centers running AI workloads require vast amounts of electricity, straining national grids and shaping policy priorities. The U.S. lags behind China in expanding grid capacity, which has grown rapidly in the PRC over the past decade, while U.S. grid expansion remains relatively modest (International Energy Agency [IEA], 2024).

Pennsylvania’s leadership in natural gas production—and potential expansion into nuclear power—underscores the need for an “all-of-the-above” strategy to support AI growth (IEA, 2024). Investments in energy infrastructure are now seen as integral to the future of U.S. technological leadership.

Policy Outlook: The July 23 “Winning the AI Race” Summit

The upcoming “Winning the AI Race” summit in Washington, D.C., where the president is expected to deliver a keynote, is poised to articulate a comprehensive vision for American AI policy. This vision is likely to encompass not only trade and export controls, but also energy, infrastructure, education, and alliances. The outcomes of such summits will be critical in determining how the U.S. positions itself in the evolving AI landscape and maintains its global edge (White House, 2024).

Conclusion

The U.S. policy of allowing the sale of older-generation chips to China while restricting access to the most advanced semiconductors represents a nuanced and dynamic strategy—one that seeks to balance economic, technological, and security imperatives. As Chinese firms continue to innovate and expand globally, and as energy infrastructure becomes ever more critical, the contest for technological supremacy will hinge not only on innovation, but also on strategic foresight and international engagement. Winning the “AI race” will require coordinated policies that address both market realities and emerging threats, ensuring the continued global leadership of the American technology stack.

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References

Bown, C. P. (2023). US-China Trade War Tariffs: An Up-to-Date Chart. Peterson Institute for International Economics. https://www.piie.com/research/piie-charts/us-china-trade-war-tariffs-date-chart

Bloomberg. (2024, July 10). AMD Wins US Approval to Sell AI Chip to China After Export Ban. https://www.bloomberg.com/news/articles/2024-07-10/amd-wins-us-approval-to-sell-ai-chip-to-china-after-export-ban

Breznitz, D., & Murphree, M. (2013). Run of the Red Queen: Government, Innovation, Globalization, and Economic Growth in China. Yale University Press.

Ernst, D. (2023). Competing in Artificial Intelligence Chips: China’s Challenge Amid Technology Controls. Asia-Pacific Foundation of Canada. https://www.asiapacific.ca/publication/competing-artificial-intelligence-chips-chinas-challenge

International Energy Agency. (2024). Electricity Market Report – July 2024. https://www.iea.org/reports/electricity-market-report-july-2024

Lewis, J. A. (2022). Export Controls: Why They Matter and What’s Next. Center for Strategic and International Studies. https://www.csis.org/analysis/export-controls-why-they-matter-and-whats-next

Meyer, D. (2023, November 15). Why the Dollar and the American Tech Stack Both Rely on Network Effects. Fortune. https://fortune.com/2023/11/15/dollar-american-tech-stack-network-effects/

Miller, C. (2022). Chip War: The Fight for the World's Most Critical Technology. Scribner.

Reuters. (2024, June 21). Huawei’s Global AI Expansion Threatens U.S. Chipmakers’ Market Share. https://www.reuters.com/technology/huaweis-global-ai-expansion-threatens-us-chipmakers-market-share-2024-06-21

Rolland, N. (2020). China’s Digital Silk Road: A Game Changer for Asian Economies? National Bureau of Asian Research. https://www.nbr.org/publication/chinas-digital-silk-road-a-game-changer-for-asian-economies/

U.S. Department of Commerce. (2023). Export Administration Regulations: Implementation of Additional Export Controls: Certain Advanced Computing and Semiconductor Manufacturing Items; Supercomputer and Semiconductor End Use. https://www.bis.doc.gov/index.php/documents/regulations-docs/3233-86-fr-68189/file

U.S. Department of State. (2024). US-Gulf Cooperation Council Joint Statement on Technology and Investment. https://www.state.gov/us-gcc-joint-statement-on-technology-and-investment/

White House. (2024). Fact Sheet: Biden-Harris Administration Announces New Actions to Advance Safe, Secure, and Trustworthy AI. https://www.whitehouse.gov/briefing-room/statements-releases/2024/07/10/fact-sheet-biden-harris-administration-announces-new-actions-to-advance-safe-secure-and-trustworthy-ai/

Xu, X., Zhang, L., & Han, Q. (2023). AI Chips: Technologies and Global Supply Chain. Journal of Computer Science and Technology, 38(2), 210-225. https://doi.org/10.1007/s11390-023-2322-6