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2026/6/14
The Trump administration is shifting toward Section 301 as the foundation for a new long-term tariff framework. The Office of the United States Trade Representative (USTR) has proposed additional tariffs ranging from 10% to 12.5% on 60 economies, covering most goods imported into the United States, while maintaining exemptions for semiconductors, energy products, medical goods, and critical minerals. This article summarizes the latest developments regarding the proposed Section 301 tariffs, the scope of exempt products, and the potential implications for Taiwan, China, Vietnam, Japan, and global supply chains. It also examines the future direction of Trump's tariff policy and the challenges businesses may face.
# USA
# Taiwan
# China
# Manufacturing Industry
2026/6/9
As AI models continue to grow in scale, the competitive focus of data centers is shifting from GPU computing power to high-speed connectivity. At Computex 2026, Marvell highlighted that AI infrastructure is gradually entering the era of the “connectivity bottleneck,” where technologies such as optical interconnects, Co-Packaged Optics (CPO), silicon photonics, and high-speed SerDes will become critical enablers of future growth. This article summarizes Marvell’s perspective on the evolution of AI data center architectures and how optical connectivity is expected to drive the next wave of AI infrastructure innovation.
# Stocks
2026/6/2
NVIDIA GTC 2026 showcased a pivotal transition in the AI industry from Generative AI to Agentic AI. From the Vera Rubin platform and DSX AI Factory to the Agent Toolkit and Physical AI ecosystem, NVIDIA is accelerating the development of a comprehensive AI infrastructure spanning data centers, enterprise applications, personal computers, and robotics, offering a glimpse into the next wave of growth in AI computing and the semiconductor industry.
2026/5/7
As a core driver behind the RISC-V instruction set, SiFive is rapidly emerging in the AI and data center markets, supported by its open architecture and high degree of customization. This article examines its business model and product strategy, highlighting its positioning in high-performance computing, edge AI, and automotive markets. It also explores the strategic rationale behind NVIDIA’s investment, including efforts to diversify beyond Arm and strengthen AI infrastructure integration. As the RISC-V ecosystem continues to expand, SiFive is increasingly becoming a critical player in the post-Arm era.
2026/4/8
The optical communications industry is shifting from traditional telecom cycles to structural growth driven by AI data center demand. As AI clusters expand and high-performance computing requirements increase, key technologies such as 800G and 1.6T optical transceivers, silicon photonics, and co-packaged optics (CPO) are accelerating adoption, driving upgrades across the entire industry chain. With capital expenditures continuing to rise, optical communications is becoming a core pillar of AI infrastructure, though supply bottlenecks and geopolitical risks remain key factors to watch.
2026/4/2
Driven by demand for AI, cloud computing, and high-performance computing, the U.S. semiconductor industry is entering a new growth cycle. This article provides a comprehensive breakdown of the global market size, industry value chain, and key segments—including IP/EDA, IC design, equipment, and foundries—while incorporating the 2026 outlook and potential risks to help investors understand core industry trends and investment logic.
2026/3/25
At GTC 2026, NVIDIA presented a comprehensive blueprint for its transformation from a GPU supplier into an AI factory platform provider. Centered around the Vera Rubin system, the company integrates CUDA-X, its ecosystem, and the AI Factory architecture, while highlighting the growing importance of token economics and agentic AI in the inference era. As demand rises across data processing, inference architectures, and enterprise AI deployment, NVIDIA is expanding further through heterogeneous computing, the open-model Nemotron family, and the Omniverse simulation platform. The company is also extending its reach into physical AI and regional AI markets, outlining the future direction of AI infrastructure and industry development.
2026/2/26
As Moore’s Law approaches its physical limits, the bottleneck in chip scaling is no longer confined to transistors—it increasingly lies in power delivery. Traditional front-side power delivery networks (FSPDN) ultimately constraining performance and power efficiency.To sustain progress in advanced process nodes, TSMC, Intel, and Samsung have each moved forward with backside power delivery network (BSPDN) technologies. This article analyzes the fundamentals of backside power delivery, introduces TSMC’s Super Power Rail (SPR), and compares it with Intel’s PowerVia and Samsung’s BSPDN solutions. It further explores two critical steps in implementing backside power delivery—wafer thinning and reclaimed wafers—and examines how these technological shifts could reshape the market and supply chain.
# Editor's Pick
2026/2/10
Building on the AI-driven bull run in technology stocks in 2025, U.S. equities entered early 2026 amid record-high sentiment, even as doubts began to surface over the efficiency of capital spending by major tech companies. Alphabet, Microsoft, Meta, and Amazon have sharply expanded AI-related CapEx. Despite strong revenue and earnings performance, the market is no longer willing to buy into the growth narrative alone. At the same time, rapid progress by Anthropic and AI agents is reshaping the valuation framework of the SaaS software industry. This article examines how AI capital expenditure, cash flow pressure, and breakthroughs at the application layer are collectively influencing the valuation direction of U.S. technology stocks in early 2026.
# Service Industry
# Fundamental Analysis
2026/2/3
After missing the surge in AI computing demand and facing setbacks in process-node execution, Intel is positioning its 18A node as a pivotal turning point to re-enter the advanced-manufacturing race. With core technologies such as RibbonFET (GAA) transistors, PowerVia backside power delivery, and High-NA EUV lithography, 18A not only carries hopes for a revival of Intel’s in-house processor roadmap, but is also viewed as a key bargaining chip for Intel Foundry Services to win tier-one customers. This article outlines the major technical elements and applications of the 18A process, compares Intel’s approach with TSMC and Samsung in the 2nm landscape, and assesses the challenges Intel may face going forward.
# North America
# Central Bank
# Federal Reserve
# Monetary Policy
# Macroeconomics
