EU AI Hardware Rules Challenge China's Tech Sovereignty Amid Rising Domestic AI Chip and Ecosystem Momentum
A New Frontline in Geopolitical Tech Competition: EU’s Draft Cybersecurity Act Revision Triggers China’s Serious Concerns; Huawei’s HarmonyOS AI Glasses and VeriSilicon’s Surging Orders Signal China’s AI Hardware Autonomy Has Reached a Tipping Point
Global competition in artificial intelligence has long transcended mere technological advancement—it is now accelerating into a geopolitical tech contest centered on rulemaking authority, supply-chain dominance, and ecosystem control. In April 2026, the European Commission formally released its draft revision to the Cybersecurity Act (NIS2), proposing to bring “high-risk AI systems” and “critical digital infrastructure suppliers” under mandatory security certification and data-localization regulatory requirements. Crucially, the draft explicitly mandates a “Trusted Supplier White List” system for AI software and hardware originating from third countries. Though not yet enacted into law, the draft’s provisions directly target leading Chinese AI enterprises—particularly in sensitive areas such as edge-computing devices, intelligent terminal operating systems, and IP core licensing. On April 21, a spokesperson for China’s Ministry of Foreign Affairs responded: “Certain provisions of the draft contain overtly discriminatory elements that violate the WTO principle of non-discrimination; China expresses serious concern.” This marks a strategic escalation in Sino-European technological governance tensions—from traditional domains like 5G and photovoltaics—to the foundational architecture of AI hardware and terminal ecosystems: a new strategic high ground.
The Real Essence of the EU’s New Rules: Reconstructing AI Value-Chain Access Barriers Under the Banner of “Security”
The draft’s core objective is not generic cybersecurity enhancement, but rather precise targeting of critical nodes where AI hardware achieves commercial deployment. Article 12 introduces a newly added “AI Terminal Trustworthiness Assessment Framework,” requiring all smart glasses, in-vehicle OS platforms, and industrial vision modules sold in the EU market—and equipped with local inference capability—to undergo full-stack audits by EU-designated institutions. These audits must cover chip IP provenance, firmware signature chains, and cross-border pathways for training data. Article 18 stipulates that products from suppliers headquartered in countries lacking a signed “Digital Trust Mutual Recognition Agreement” with the EU will be excluded from public procurement and critical infrastructure procurement lists. As a result, Huawei’s upcoming HarmonyOS AI Glasses—even if powered by its self-developed Ascend NPU and Pangu small language models—will still face compliance certification costs running into tens of millions of euros and an approval timeline stretching up to 18 months. This effectively constitutes a non-tariff technical barrier at the standards level.
Even more alarming is its industry-wide ripple effect. The EU’s move has already prompted intensive deliberations among Japanese and South Korean regulators on similar frameworks. Meanwhile, the U.S. Department of Commerce issued its Supplementary Guidelines on AI Hardware Export Controls on April 19, adding “heterogeneous computing modules supporting real-time multimodal inference” to its list of emerging technologies subject to export controls. Geopolitics is now slicing the global AI hardware supply chain—unprecedented in scale—into “compliant” and “non-compliant” circles, compelling China to accelerate development of a fully closed-loop ecosystem.
Huawei’s HarmonyOS AI Glasses: A Tri-Dimensional Breakthrough in OS + AI + Optics
Against this backdrop, Huawei’s launch on April 20 of its first HarmonyOS AI Glasses is far more than a consumer electronics release—it is a strategic declaration of China’s AI hardware autonomy. The device achieves three pioneering breakthroughs:
First, it integrates Huawei’s self-developed “Starseal” AI co-processor, enabling full on-device deployment of a large language model (3 billion parameters) atop the HarmonyOS microkernel, with inference latency under 80 ms.
Second, it employs a custom-designed diffractive waveguide module from舜宇光学 (Sunny Optical), achieving an MTF value of 0.62—17% higher than international competitors.
Third, the HarmonyOS NEXT system features an “Intent Perception Engine” capable of cross-application semantic understanding and task orchestration entirely offline—without cloud dependency. According to supply-chain sources, initial production orders have exceeded 1.2 million units, with Foxconn’s Zhengzhou facility reporting a line utilization rate of 98%.
This launch reflects matured ecosystem-reconstruction capabilities. HarmonyOS-powered devices now total 820 million units, supported by over 2.7 million developers, forming a unified AI service distribution network spanning smartphones, automotive infotainment, wearables, and smart home devices. While Apple’s Vision Pro remains confined to niche professional applications due to its premium price ($3,499) and closed ecosystem, Huawei targets scalable commercial use cases—including education, industrial inspection, and remote healthcare—at an aggressive RMB 3,999 price point. This validates the commercial viability of the “autonomous OS + domestic optics + on-device AI” paradigm.
VeriSilicon’s Surging Orders: IP Core Localization Enters the Profitability Phase
The foundation enabling Huawei’s terminal surge lies in tangible breakthroughs in semiconductor IP design. On April 18, VeriSilicon announced that new AI compute-related IP licensing orders in Q1 2026 totaled RMB 4.5 billion—a 85.3% year-on-year increase—with 72% originating from domestic AI chip design firms. Its Vivante GPU IP has successfully taped out in AI acceleration chips developed by Cambricon and Biren Technology, delivering an energy efficiency of 28 TOPS/W. Its newly launched “Zhiying” NPU IP supports INT4 sparse quantization, boosting computational density per unit area by 3.2× versus the prior generation.
The shift in order composition carries deeper significance: Historically, 65% of VeriSilicon’s IP licensing revenue came from smartphone SoC customers; today, AI chip customers account for 58%, while average deal size has surged from RMB 23 million to RMB 68 million. This signals a decisive transition—from functional substitution to performance leadership. For instance, Cambricon’s MLU370 chip—powered by VeriSilicon’s NPU IP—delivers 12% higher large-model inference throughput and 23% lower power consumption than NVIDIA’s A10, as verified in benchmark testing. Similarly, Tianfu Communications’ 45.79% YoY net profit growth stems from mass delivery of its 800G optical interconnect solutions to domestic AI server vendors—confirming accelerated, end-to-end collaboration across the entire value chain: from IP cores and chips to full-system integration.
The Tipping Point of Hardware Autonomy: From Policy-Driven to Market-Driven Adoption
China’s AI hardware autonomy has now moved decisively beyond the policy-subsidy phase and entered a new tipping point defined by market-driven adoption. Data from the People’s Bank of China show foreign institutional holdings of Chinese bonds reaching RMB 3.2 trillion, while panda bond issuance rose 31% YoY—evidence of international capital’s growing confidence in China’s long-term tech-industry prospects. Meanwhile, CATL’s block-trade inquiry price hit RMB 410.34 per share, underscoring the emerging valuation premium for hard-tech assets in secondary markets. When ByteDance clarified that its reported profit decline stemmed from accounting standard adjustments—not operational deterioration—the market’s focus shifted decisively toward real cash flow: Tianfu Communications’ RMB 492 million net profit, VeriSilicon’s RMB 4.5 billion in orders, and Huawei’s rapid ramp-up of HarmonyOS AI Glasses collectively form a verifiable performance coordinate system.
Ultimately, geopolitical competition is never a zero-sum game of blockade versus counter-blockade—but rather a race to build a sustainable innovation loop with superior efficiency. The EU’s regulatory draft functions like a prism, revealing the inevitability of global AI-order restructuring. Huawei’s and VeriSilicon’s simultaneous breakthroughs demonstrate that China is forging a differentiated path to autonomy—one defined by terminals shaping demand, IP cores solidifying foundations, and ecosystems aggregating value. When AI glasses cease to be science-fiction props and instead become production-line quality inspectors, surgical assistants, or classroom interpreters, technological sovereignty quietly takes root—not in abstract declarations, but in countless concrete, mission-critical scenarios.