On May 15, 2019, the U.S. Commerce Department added Huawei Technologies and 68 of its affiliates to the Entity List. Within 90 days, Taiwan Semiconductor Manufacturing Company — which fabricated many of Huawei's custom Kirin chips — stopped accepting new orders from the company. By 2021, Huawei's smartphone shipments had collapsed from a peak of 240 million units annually to fewer than 30 million. The instrument that accomplished this was not a military embargo or a UN sanction. It was an administrative rulemaking under the Export Administration Regulations.
The Export Administration Regulations (EAR), administered by the Commerce Department's Bureau of Industry and Security (BIS), govern the export of dual-use goods — items that have both civilian and military applications. Semiconductors and the software and technology to design them fall squarely within EAR's scope.
The key structural concept is the Export Control Classification Number (ECCN). Every controlled item receives an ECCN that specifies what export license is needed and to which countries. For advanced semiconductors relevant to AI — including items classified under ECCN 3A090 (high-performance integrated circuits) and 3E001 (technology for their design) — licenses are generally required for exports to countries of concern.
BIS's Entity List is a published register of foreign persons, companies, and organizations that have been determined to act contrary to U.S. national security or foreign policy interests. Once listed, a company cannot receive items subject to EAR from any U.S.-origin supplier without a specific license — which is presumed denied.
EAR's normal jurisdiction covers U.S.-origin goods. But the Foreign Direct Product (FDP) Rule extends U.S. jurisdiction to foreign-made products that are the direct product of U.S. technology or software. In May 2020, Commerce amended the FDP Rule specifically to capture Huawei: any chip fabricated anywhere in the world using U.S. semiconductor equipment or EDA (electronic design automation) software required a U.S. export license before being sold to Huawei. Because virtually all advanced chipmakers — TSMC, Samsung, SMIC — rely on U.S. equipment and EDA tools (from companies like Lam Research, Applied Materials, Cadence, and Synopsys), the amended rule effectively subjected global semiconductor supply chains to U.S. jurisdiction.
Before its Entity List designation, Huawei was the world's largest telecommunications equipment vendor and a major smartphone manufacturer. Its HiSilicon subsidiary designed Kirin system-on-chip processors competitive with Qualcomm's Snapdragon series — but all fabrication occurred at TSMC's facilities in Taiwan using equipment from Applied Materials, ASML, Lam Research, and KLA, all subject to U.S. export controls.
The May 2019 designation immediately required TSMC and other suppliers to apply for licenses to continue serving Huawei. In September 2020, after the amended FDP Rule closed the remaining design-house loopholes, TSMC publicly confirmed it would stop all new Huawei orders. MediaTek of Taiwan, which had planned to continue supplying Huawei's non-5G handsets, also announced it would seek licenses — effectively halting supply.
The economic impact was rapid and severe. Huawei's consumer business group revenue fell from ¥467 billion in 2020 to ¥243 billion in 2021. In 2021 Huawei sold its Honor smartphone brand to a consortium of Chinese state and private entities specifically to allow Honor to continue purchasing chips that Huawei itself could not obtain.
The Entity List designation did not eliminate Huawei from advanced technology. By August 2023, Huawei unveiled the Mate 60 Pro smartphone containing a Kirin 9000s chip fabricated by SMIC at a 7-nanometer process node. SMIC itself was added to the Entity List in December 2020, but the chip apparently used older U.S. equipment already present in SMIC fabs before the designation — illustrating the temporal limits of export control enforcement. The incident triggered a formal review by BIS and Congressional demands for tighter controls on chipmaking equipment.
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On October 7, 2022, the Bureau of Industry and Security published an interim final rule that represented the most sweeping expansion of U.S. semiconductor export controls since the Cold War. The rules targeted not just specific companies but entire categories of capability — establishing performance thresholds below which chips could be freely exported and above which licenses would be presumptively denied. They also imposed a requirement that would prove immediately explosive: U.S. persons working anywhere in the world in advanced Chinese semiconductor production must seek a license — or leave their jobs.
Pillar 1: Advanced Chip Export Restrictions. The rules created new ECCN categories targeting chips with computational performance above defined thresholds used for AI training and inference. For chips with interconnect bandwidth density above 600 Gbps/mm², or with total processing performance above approximately 4,800 TOPS (Tera Operations Per Second) at INT8 precision, Commerce established a license requirement for export to China. This captured Nvidia's A100 and H100 data center GPUs, which were the primary tools for large-scale AI model training.
Pillar 2: Chipmaking Equipment Controls. The rules added new controls on semiconductor manufacturing equipment capable of producing chips at advanced nodes — specifically 16nm logic and below, 128-layer NAND flash, and certain DRAM process nodes. Key tools affected included deposition equipment, etch systems, and metrology tools from Applied Materials, Lam Research, and KLA. These companies were required to immediately halt shipments to Chinese fabs — even before receiving formal license denials.
Pillar 3: The U.S. Person Rule. Perhaps the most novel element: U.S. citizens and permanent residents working in China's advanced chip sector were prohibited from supporting the development, production, or use of advanced ICs without obtaining a BIS license. Within days of the rule's publication, dozens of American engineers and executives working at Chinese chip companies, including SMIC and YMTC, submitted resignations to comply with the requirement.
The rules set specific numerical thresholds defining "advanced" chips subject to new controls. The key initial thresholds (later tightened in October 2023) were: logic chips with non-planar transistor architecture at 16nm or below; chips with total processing performance (TPP) above approximately 4,800 TOPS at INT8, or 300 TOPS at FP8/FP16; and chips with performance density above 4.6 TOPS/mm² at INT8. These metrics were chosen to capture the specific chips used for large AI model training while leaving consumer and automotive chips unrestricted.
Within months, Nvidia announced China-specific chip variants — the A800 and H800 — engineered to fall just below the October 7 thresholds by reducing interconnect bandwidth. BIS had set the NVLink bandwidth threshold at 600 Gbps/mm²; Nvidia's China variants reduced this below the threshold while maintaining much of the computational throughput.
In October 2023, BIS tightened the rules substantially. A new performance density threshold of 4,800 TOPS combined with 40 TOPS/mm² captured the A800 and H800. BIS also added new restrictions on chips above 4,800 TOPS total regardless of interconnect bandwidth — closing the workaround. The result was another round of Nvidia engineering: the H20, L20, and L2 chips released for China in 2024, substantially less capable than global variants.
The October 2023 rules also extended the country scope: chip controls that previously applied to China were extended to approximately 40 additional countries deemed proliferation risks, while creating a tiered system allowing allies in Tier 1 (NATO, Japan, South Korea, Australia) largely unrestricted access.
Unilateral U.S. controls faced an inherent problem: if Japan's Tokyo Electron or the Netherlands' ASML continued selling advanced chipmaking equipment to China freely, U.S. equipment restrictions would simply be circumvented. In January 2023, after months of quiet negotiations, Japan and the Netherlands agreed to align their export controls with U.S. restrictions on advanced chipmaking equipment.
The Netherlands specifically restricted ASML from exporting its deep ultraviolet (DUV) immersion lithography systems — used for chip nodes from 28nm to 5nm — to China without a Dutch export license. ASML had already been barred from exporting its extreme ultraviolet (EUV) systems to China since 2019. The combined DUV restriction was significant because Chinese fabs had been purchasing DUV equipment rapidly to build out capacity that, while not at the most advanced nodes, could produce competitive chips through multi-patterning techniques.
The October 2022 rules and their successors represent the most aggressive use of export controls as industrial policy in the semiconductor era. But analysts at CSET (Center for Security and Emerging Technology) and elsewhere have noted fundamental limits: controls slow but rarely stop determined state-level technology development; China retains substantial legacy chipmaking capacity sufficient for many AI inference applications; and the growing Chinese domestic EDA and equipment industry — while years behind — continues to advance. SMIC's production of 7nm-class chips in 2023 using only equipment obtained before tighter controls underscored that enforcement gaps persist.
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The October 2022 rules prompted Beijing to accelerate programs already underway. The China Integrated Circuit Industry Investment Fund — known as the "Big Fund" — had been established in 2014 with an initial capitalization of ¥138.7 billion. A second phase raised an additional ¥200 billion in 2019. In May 2024, the government announced a third phase: ¥344 billion ($47.5 billion) — the largest single investment in the fund's history — focused specifically on semiconductor equipment, materials, and EDA software: precisely the areas where U.S. export controls had proven most damaging.
China's semiconductor industrial policy rests on several pillars. The National Integrated Circuit Industry Investment Fund (NICICIF, or "Big Fund") provides equity investment and low-cost capital to domestic chipmakers, equipment companies, and materials suppliers. The "Made in China 2025" initiative (launched 2015) set targets for domestic semiconductor content in Chinese electronics — 40% by 2020 and 70% by 2025 — targets that have not been met but that have concentrated industrial attention and public investment.
The Sci-Tech Innovation Board (STAR Market), launched in 2019 on the Shanghai Stock Exchange, was designed specifically to provide IPO access for technology-intensive companies that might not meet traditional profitability requirements. By 2023, dozens of semiconductor companies — including Cambricon (AI chips), Horizon Robotics (edge AI), and SMIC's suppliers — had listed on STAR Market, accessing public capital markets for chip development.
Memory Chips: YMTC (Yangtze Memory Technologies Corporation) developed its 232-layer 3D NAND flash memory — competitive with Samsung and Micron's leading products — by 2022. YMTC was added to the Entity List in December 2022, but had already built out substantial production capacity. The technology demonstrated that Chinese firms could reach world-class memory specifications, though production volume and yield remained behind leading competitors.
AI Inference Chips: Huawei's Ascend 910B AI accelerator, produced by SMIC at a 7nm-class process, demonstrated competitive AI training performance when benchmarked against older Nvidia A100 chips. Chinese cloud providers including Baidu, Alibaba, and ByteDance have purchased Ascend 910B units as a domestic alternative to restricted Nvidia products. Baidu's ERNIE Bot and several other large language models were trained or fine-tuned on Ascend hardware.
EDA Software: Domestic EDA companies including Empyrean Technology (华大九天) and Primarius Technologies have developed point tools competitive for specific design tasks, particularly analog and mixed-signal design. Full-flow digital EDA — the complete design toolchain needed for advanced logic chips — remains dominated by the U.S. trio of Cadence, Synopsys, and Mentor (Siemens EDA), with domestic Chinese alternatives years behind.
When TechInsights performed a teardown of the Huawei Mate 60 Pro in August 2023 and identified its Kirin 9000s chip as fabricated at SMIC on a 7nm-class process, the finding carried multiple implications. It showed SMIC had achieved advanced-node production — something the U.S. intelligence community believed was 5–7 years away. But it also showed the process likely used ASML DUV immersion tools purchased before controls tightened, potentially with yields substantially lower than TSMC or Samsung. High-volume production at sub-7nm nodes without EUV remains an open question with significant cost and yield implications.
Despite investment and progress in select areas, China faces structural semiconductor gaps that industrial policy has not yet bridged. Semiconductor equipment remains the most critical gap: China has no domestic equivalent of ASML, no viable EUV lithography program, and limited capability in advanced etch, deposition, and inspection equipment. Domestic alternatives to Applied Materials, Lam Research, and KLA exist for trailing-edge applications but cannot replicate the capability needed for advanced nodes.
Advanced packaging is an area where China has made more substantial progress. JCET, Tongfu Microelectronics, and others have developed advanced packaging capabilities including fan-out wafer-level packaging and 2.5D interposer technology. Huawei's Mate 60 Pro chip used advanced packaging to achieve its performance, partially compensating for process node limitations. But CoWoS-class HBM packaging — required for Nvidia H100-class performance — remains largely outside Chinese production capability.
Multiple documented cases emerged after October 2022 of restricted chips reaching Chinese end-users through intermediaries in third countries. Reuters investigations in 2023 found Nvidia A100 chips appearing in Chinese research institutions after being routed through distributors in Singapore, Malaysia, and Taiwan. BIS responded with enhanced end-use verification requirements and a new "red flag" guidance emphasizing that U.S. exporters must investigate suspicious re-export patterns. The challenge illustrates why unilateral controls have inherent enforcement limits: a chip that legally enters Singapore can be diverted onward in ways difficult to detect without active enforcement cooperation from Singapore authorities.
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On January 13, 2025, the Biden administration published its final major semiconductor export control action: the Framework for Artificial Intelligence Diffusion. The rule created a three-tier system governing global AI chip exports — Tier 1 allies with near-unrestricted access, Tier 2 countries with per-entity caps on how many advanced AI chips they could import annually, and Tier 3 adversaries subject to existing strict controls. The response from affected countries was immediate and, for Washington, unexpectedly sharp. Singapore, Malaysia, India, Mexico, and other Tier 2 nations objected publicly. Semiconductor companies warned of competitive damage to U.S. exports. The incoming Trump administration indicated it would revise the framework before implementation.
The Framework for AI Diffusion established the most geographically comprehensive AI chip control regime attempted by any government. Under the rule, Tier 1 comprised 18 close allies — including the UK, EU members, Japan, South Korea, Australia, Canada — and faced essentially no new restrictions on AI chip imports. Tier 2 covered most of the rest of the world, including Singapore, India, Israel, UAE, Mexico, Brazil, and dozens of others. Tier 2 countries faced a new national cap: their companies could import advanced AI chips up to a certain limit (roughly 1,700 H100-equivalent chips per company per year without a license, with higher limits subject to enhanced verification requirements). Tier 3 — China, Russia, and other adversaries — remained subject to the existing strict controls.
The rule's stated rationale was preventing AI capability diffusion — the concern that large data centers in relatively permissive Tier 2 countries could be used to provide AI compute services to restricted Tier 3 users, effectively circumventing the chip-level controls through cloud access rather than physical export.
Singapore's Ministry of Trade and Industry stated it was "deeply concerned" about the rule and would raise objections through diplomatic channels. The Singapore government noted that its semiconductor and data center sector was a significant portion of its economy, and that being treated similarly to less-aligned nations was both economically damaging and diplomatically offensive. Israel, a close security partner of the U.S., expressed similar concerns about finding itself in Tier 2 alongside countries with which it had fundamental policy differences. India's government and technology industry objected to caps that would limit data center expansion at a moment of rapid growth. The Semiconductor Industry Association noted that Tier 2 restrictions would harm U.S. chip exports to major markets without clear national security justification.
Beyond the diffusion rule controversy, U.S. policymakers faced a recurring structural challenge: getting allied nations to maintain comparable export control regimes requires ongoing diplomatic investment and creates commercial friction that tests alliance durability. Japan's January 2023 agreement to restrict chipmaking equipment exports was significant but came after months of negotiations and required Japan to accept costs — lost revenue for Tokyo Electron, a leading equipment maker — in exchange for U.S. commitments on other alliance dimensions.
The Wassenaar Arrangement, the multilateral regime governing dual-use export controls, proved inadequate to the speed of the U.S. AI chip control agenda. Wassenaar decisions require consensus among 42 member states and typically take years to implement. The U.S. moved on months-long timescales with bilateral agreements, essentially bypassing the multilateral framework that had governed dual-use export controls since the Cold War's end. This bilateral approach was faster but created a less durable and consistent framework than multilateral consensus would provide.
The CHIPS and Science Act, signed August 9, 2022 — just two months before the October 7 export control rules — provided the complementary instrument to denial: domestic investment. The law appropriated $52.7 billion for U.S. semiconductor manufacturing and research, including $39 billion in manufacturing incentives and $13.2 billion for R&D. Recipients of CHIPS Act manufacturing funding are prohibited by law from expanding advanced semiconductor manufacturing capacity in countries of concern for 10 years — a provision known as the "guardrails."
TSMC's planned Arizona fabs (TSMC Arizona), Intel's Ohio and Arizona expansion, Samsung's Texas fab, and Micron's Idaho and New York DRAM facilities were all announced or accelerated in the context of CHIPS Act incentives. The combination of export controls (restricting technology to adversaries) and CHIPS Act investment (building domestic capacity) reflected a coherent if contested industrial policy strategy.
A growing body of analysis from institutions including CSET, RAND, and the Brookings Institution has examined what export controls have demonstrably accomplished and where their limits lie. Controls have slowed Chinese access to the most advanced AI training chips — the H100-class systems. They have created measurable cost and capability gaps for Chinese AI researchers using domestic alternatives. The forced resignation of American engineers from Chinese chip companies represented a genuine talent drain.
But controls have not stopped Chinese large language model development: DeepSeek's R1 model, published in January 2025 and trained at a fraction of the cost of comparable U.S. models, demonstrated that algorithmic efficiency improvements can partially compensate for compute restrictions. Controls have not prevented China from achieving 7nm fabrication at SMIC. They have not eliminated the re-export problem. And they have created political costs with allies and trading partners that complicate broader technology governance cooperation.
When Chinese AI lab DeepSeek released its R1 reasoning model in January 2025, achieving benchmark scores competitive with leading U.S. models at dramatically lower training costs, it prompted a reexamination of export control strategy in Washington. If algorithmic innovation could partially substitute for raw compute — through techniques like mixture-of-experts architecture, knowledge distillation, and reinforcement learning from human feedback — then chip-level controls might be necessary but not sufficient to maintain AI leadership. The model was reportedly trained using approximately 2,048 H800 chips (the China-market variant just below the October 2022 thresholds) — a cluster size well within what Chinese labs could legally assemble before the October 2023 tightening. The episode illustrated that export controls set ceilings on hardware access but cannot constrain algorithmic ingenuity.
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