China Weaponizes AI Development to Build Fortress Economy Against US Controls

China is engineering a comprehensive insulation strategy around its AI and semiconductor ecosystem, transforming US export controls from intended constraints into catalysts for accelerated domestic development through policy mechanisms designed to eliminate foreign dependencies at every supply chain node. The effort represents what analysts characterize as a ‘spillover effect’—where advancements in AI capabilities drive parallel investments in chip fabrication, materials science, and supply chain diversification to reduce exposure to geopolitical pressure.

Beijing has made “independent and controllable” AI a key objective, viewing the technology as strategic for national and economic security in response to US technology Export Controls. According to Reuters, chipmakers applying for government permits to build or expand factories must now demonstrate that at least half of their equipment comes from domestic manufacturers, with the quota being a direct response to tightened US export restrictions. The policy shift—enforced quietly through approval processes over recent months—signals President Xi Jinping’s call for a “whole nation” approach to building a fully self-reliant semiconductor Supply Chain.

The Policy Architecture of Technological Sovereignty

China’s approach layers multiple policy instruments to achieve what officials term “secure and controllable” technology stacks. The government employs different strategies to aid each layer of AI development, reserving the heaviest state support for the capital-intensive semiconductor sector, entrusting indigenization efforts for software frameworks to Big Tech companies, while higher-layer AI models and applications benefit from an enabling environment but receive less direct state support.

China has intensified subsidy programs to accelerate self-reliance in high technologies, with government funding accounting for approximately 400 billion yuan of the nation’s projected 600-700 billion yuan ($84-98 billion) in AI capital expenditure in 2025, according to China US Focus. This reflects Beijing’s drive to narrow the technological gap with the US through coordinated state intervention.

The state-backed semiconductor investment initiative known as the Big Fund aims to achieve technological self-sufficiency and reduce dependence on foreign suppliers, strengthen domestic chip manufacturing, design, and materials industries, enhance production equipment capabilities, support AI-grade semiconductor research and development, and mitigate exposure to US controls. The fund backs domestic champions including SMIC, YMTC, CXMT, and Hua Hong Semiconductor—all integral to China’s long-term ambitions for independent innovation.

Breakthrough Targets: EUV Lithography and Advanced Nodes

The most visible manifestation of China’s urgency lies in its pursuit of extreme ultraviolet (EUV) lithography capability. According to Reuters, scientists in Shenzhen finished a prototype EUV lithography machine in early 2025, built by former ASML engineers using components from older ASML systems sourced on the secondary market, with Beijing targeting mass production by 2028. ASML CEO Christophe Fouquet had stated as recently as April that China would need “many, many years” to develop such technology.

China’s upcoming 15th Five-Year Plan (2026-2030) is expected to target five key priorities: advancing 7nm/5nm logic process nodes with yield optimization, expanding memory industry including scaling YMTC and CXMT output while initiating high-bandwidth memory development. SMIC’s N+2 and N+3 nodes are nearing 7nm/5nm capabilities, though capacity remains limited at about 10 kWpm, far below market demand according to Yole Group.

AI as National Security Imperative

China’s AI development strategy explicitly intertwines with military-civil fusion doctrine. Semiconductors are dual use by nature, with the same advanced chip that powers a commercial AI system also driving military intelligence platforms or encrypted communications networks, and China’s military-civil fusion strategy aims to leverage civilian advances for defense while reducing reliance on foreign technology that could be restricted during conflicts.

At the Politburo’s 20th collective study session, Xi Jinping described AI as “a strategic technology leading a new round of scientific and technological revolution and industrial transformation,” according to People’s Daily. Advanced semiconductor technology and computing capacity are essential to AI breakthroughs, driving Beijing to accelerate promotion of self-reliance in semiconductor design and production in the last decade, especially since US export controls.

This push is deeply integrated with China’s ambition for AI leadership, viewing indigenous chip capabilities as critical for National Security, economic growth, and overall competitiveness, aligning with a broader global trend of technological nationalism where major powers prioritize self-sufficiency in critical technologies, and US export controls have arguably acted as a catalyst, accelerating domestic innovation and strengthening Beijing’s resolve for self-reliance.

Supply Chain Fragmentation and Retaliatory Leverage

Beijing has deployed its own chokepoint strategy through critical minerals export controls. China’s tightening export control on critical minerals escalated to outright export bans to the US in December 2024, with China refining approximately 70% of the world’s silver used in chips and dominating processing of rare earth elements such as gallium, creating significant leverage that pressures the US to soften its stance on chip exports.

In October 2025, China implemented its most extensive and sophisticated export control regime to date under Ministry of Commerce Announcements No. 61 and 62, restricting exports of heavy rare earths including dysprosium, terbium, lutetium, holmium, and erbium, magnetic materials, superhard and diamond-based industrial inputs, and advanced battery technologies, introducing extraterritorial provisions similar to the US ‘foreign direct product rule’ as part of a broader strategy to maintain control over upstream resources critical to semiconductors, defense systems, and clean-energy supply chains.

According to a 2025 industry analysis, Beijing is speeding up development of home-grown supply chains—including design, legacy logic nodes, and memory production—to counter external constraints, representing a long-term strategy to rebuild a domestic chip ecosystem independent from Western suppliers. Domestic wafer fabrication equipment vendors led by NAURA, AMEC, E-town, and Piotech have expanded rapidly, with NAURA entering the top tier of global semiconductor equipment vendors, ranked #8 in 2024—an important milestone reflecting rising domestic competitiveness.

The Paradox of US Policy Shifts

The Trump administration’s January 2026 decision to allow limited exports of advanced AI chips introduced fresh uncertainty into the strategic calculus. On 13 January 2026, the US Department of Commerce’s Bureau of Industry and Security changed the export license review policy from “presumption of denial” to “case-by-case review” for NVIDIA H200 and AMD MI325X-equivalent chips exported to China, with Chinese firms having placed orders for over 2 million H200 chips worth up to $14 billion.

Despite Trump’s policy shift, China may unilaterally reject this concession as it has instructed its customs authorities to block imports of H200 chips and warned national technology companies against purchasing them unless necessary, suggesting China is balancing acquiring advanced computing power against avoiding strategic dependence on US technology that could be weaponized in future conflicts.

If implemented faithfully, the regulation would likely block most or all exports to China, but if implemented loosely, it would fail to address concerns, with shipments of 1 million H200s increasing the total amount of AI compute installed in China in 2026 by 250% relative to if China relied solely on domestic AI chips, according to the Council on Foreign Relations.

What to Watch

The trajectory of China’s semiconductor self-sufficiency will hinge on several critical developments over the next 18 months. Observers should closely watch SMIC’s yield rates and effective capacity for advanced node production, as well as any further updates on its 3nm development, while Huawei’s continued execution of its aggressive Ascend AI chip roadmap, particularly the rollout of the Ascend 950 family in Q1 2026, will be crucial.

Export controls sharpened the incentives for AI engineers, founders, and funders in China to do more with less—to optimize performance per watt, per dollar, per GPU—and instead of derailing China’s AI momentum, these constraints made it more resilient and self-reliant. The emergence of DeepSeek and other indigenous AI models performing comparably to Western equivalents despite hardware limitations validates Beijing’s state-led development model under duress.

Key indicators include: progress on domestic EUV lithography timeline versus the 2028 target; SMIC’s ability to scale 7nm/5nm production beyond current 10k wafers per month; execution of the 50% domestic equipment mandate across new fabrication facilities; and China’s response to potential tightening or loosening of US export policy under evolving political pressures. The semiconductor decoupling is no longer hypothetical—it is actively reshaping global technology supply chains into distinct, potentially incompatible ecosystems defined by geopolitical alignment rather than economic efficiency.