– A-share indices extended gains with AI computing power stocks like Cambricon and Industrial Fulian hitting record highs
– Fujian and Sichuan provinces unveiled ambitious computing infrastructure plans targeting massive capacity growth by 2027
– Industrial Fulian reported over 50% server revenue growth in Q2 with AI servers surging 60%
– Global AI model releases from OpenAI and Google are accelerating demand for computing infrastructure
– Analysts recommend focusing on PCB manufacturers, optical modules, and server ODM companies for AI-driven opportunities
On August 12, China’s A-share market demonstrated remarkable strength with major indices extending their upward trajectory. The Shanghai Composite Index rose 0.50% for its seventh consecutive positive session, while the Shenzhen Component Index and ChiNext Index gained 0.53% and 1.24% respectively. The standout performers were undoubtedly AI computing power and semiconductor stocks, which staged impressive rallies throughout the trading day. Leading this charge was Cambricon, which surged by the 20% daily limit to reach unprecedented valuations, while manufacturing giant Industrial Fulian climbed over 9% to approach the 800 billion yuan market capitalization threshold.
The driving force behind this market enthusiasm stems from significant policy developments. Fujian Province recently launched its Three-Year Action Plan for New Information Infrastructure Development, targeting a provincial computing power capacity of 9 EFLOPS by 2027. This initiative includes constructing integrated computing centers combining general computing, intelligent computing, and supercomputing capabilities. Simultaneously, Sichuan Province announced its Information Infrastructure Empowerment Action Plan, aiming to quadruple computing capacity by 2027 while deploying cutting-edge 400G/800G optical transmission networks. These provincial blueprints create fertile ground for AI computing power development and signal sustained government commitment to technological advancement.
Market Momentum: AI Computing Power Leads Rally
The August 12 trading session witnessed extraordinary activity in AI computing power stocks, with trading volumes and valuations reaching historic levels. Cambricon’s 20% surge represented the most dramatic move, locking in its upper limit with transaction values exceeding 15 billion yuan. Industrial Fulian’s nearly double-digit percentage gain pushed its market capitalization toward the psychologically significant 800 billion yuan milestone. The broad-based momentum extended throughout the sector with Yingweike and VeriSilicon Microelectronics both gaining over 9%, while Eoptolink Technology rose more than 6%.
Corporate Performance Driving Valuations
Industrial Fulian’s impressive market performance followed its robust half-year earnings report released on August 10. The manufacturing leader revealed that Q2 server revenues grew more than 50% year-over-year, with cloud service provider server revenues skyrocketing over 150%. Most significantly, AI server revenues expanded by more than 60%, reflecting accelerating enterprise adoption. The company confirmed its GB200 series products have entered mass production with steadily improving yields and quarterly shipment increases. This operational excellence demonstrates how fundamentally strong performance is validating market optimism around AI computing power stocks.
Provincial Policy Catalysts
Regional development plans are creating concrete growth pathways for computing infrastructure. Fujian’s three-year blueprint prioritizes optimizing data center distribution while establishing a “1-5-10-20” latency framework: achieving 1ms within cities, 5ms across the province, 10ms to Guangdong-Hong Kong-Macao and Yangtze River Delta hubs, and 20ms nationwide connectivity. The plan specifically encourages building integrated computing centers that combine general, intelligent, and supercomputing capabilities.
Sichuan’s Infrastructure Acceleration
Sichuan’s multi-department action plan targets establishing 320,000 5G base stations by 2027 while positioning the province as a national leader in 5G-A and 10-Gigabit optical networks. The infrastructure roadmap includes major projects like China Telecom’s Cloud Brocade Tianfu Computing Center and China Mobile’s Chengdu-Chongqing Hub computing cluster. These initiatives will leverage “computing network brains” for data flow optimization while strengthening industrial internet, vehicle networking, and low-altitude intelligent networking systems. Such comprehensive development establishes Sichuan as a strategic backup base for national information infrastructure.
Post-Market Developments
After markets closed on August 12, Guangzhou authorities released implementation guidelines for financial support in Nansha’s development as a comprehensive Guangdong-Hong Kong-Macao cooperation zone. The document emphasizes attracting blockchain and AI technology institutions while supporting the construction of specialized facilities including computing power centers, R&D certification bases, and regulatory platforms. This policy reinforcement creates additional growth vectors for AI computing power applications in financial technology scenarios.
Global AI Momentum
International technological breakthroughs continue driving demand for computing infrastructure. OpenAI’s August 8 launch of GPT-5 represents the latest in rapid-fire AI model releases, following Google DeepMind’s Genie 3 in early August and xAI’s Grok 4 in July. Chinese tech giants are equally active, with Alibaba unveiling three new open-source models at the 2025 World AI Conference. These consecutive advancements create exponential demand for AI computing power resources.
Capital Expenditure Expansion
Major global cloud providers are significantly increasing infrastructure investments to support AI development. First Shanghai Securities notes that overseas computing power demand remains exceptionally strong, with industry discussions already focusing on next year’s capital expenditure plans. The research firm observes that domestic computing power resources remain in tight equilibrium, creating opportunities for Chinese companies to overcome technological bottlenecks in advanced manufacturing processes, packaging solutions, large model adaptation, and high-bandwidth memory supply.
Investment Opportunities
Financial institutions identify specific sectors positioned to benefit from the computing power expansion. First Shanghai Securities recommends focusing on high-end printed circuit boards (PCBs), optical modules, and server original design manufacturers (ODMs). These segments directly support the physical infrastructure required for AI computing power deployment and stand to gain from both domestic and international demand.
PCB Market Growth Projections
China International Capital Corporation Limited (中金公司) analysis forecasts substantial expansion in AI-related PCB markets, projecting $5.6 billion in 2025 and $10 billion by 2026. The investment bank notes that GPU and ASIC proliferation combined with advanced materials like M9 and quartz fabric will significantly increase per-board value. Despite Chinese PCB manufacturers accelerating capacity expansion, CICC anticipates persistent supply gaps in high-end production capabilities. Future technological evolution through structural integration, functional upgrades, and material breakthroughs will create additional market opportunities.
The convergence of provincial infrastructure initiatives, corporate performance excellence, and global AI advancement creates a powerful growth cycle for China’s computing power sector. Investors should monitor policy implementation timelines in Fujian and Sichuan while tracking quarterly earnings from semiconductor manufacturers and infrastructure providers. Considering exposure to PCB specialists, optical component developers, and server manufacturers offers strategic positioning within this expanding ecosystem. As AI computing power becomes increasingly fundamental to economic development, these technologies represent not just investment opportunities but pillars of national technological competitiveness.
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