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- Macroeconomics
2026/1/26
Introduction to the 2026 Federal Reserve Voting Members
In 2026, the U.S. Federal Reserve (Fed) will undergo key leadership changes, including a full rotation of FOMC voting members and a transition of the Chair—developments that will have significant implications for future interest rate policy. The four new rotating voting members are generally hawkish, with broad support for slowing or pausing rate cuts in order to observe subsequent developments in inflation and the labor market. In contrast, potential candidates for the next Fed Chair lean more dovish, arguing that there is still room for further rate cuts. Overall, the 2026 FOMC is expected to feature a structure in which rotating voting members are relatively hawkish, while Governors and potential Chair candidates are more dovish. While markets continue to expect the overall direction of rate cuts to remain intact, the actual pace and magnitude will depend heavily on inflation trends, labor market data, and evolving political factors.
- News
2026/1/26
fiisual Biweekly Oil Report: Limited Revisions in Oil Monthly Reports; U.S. Crude Oil and Refined Products Build Inventories in Tandem
This month, revisions across the three major agencies’ monthly reports were limited. OPEC maintained its existing supply and demand growth forecasts, while both the EIA and IEA made modest upward revisions to demand and supply growth. However, given the limited adjustment in the overall supply–demand structure, the short-term oil price outlook still lacks a clear directional signal. Meanwhile, U.S. crude oil and refined product inventories continued to rise in tandem, indicating weak end-user demand momentum. As a result, near-term fundamentals continue to exert downward pressure on oil prices, although geopolitical risks and supply disruptions in certain regions provided intermittent upside support.
- Industry
2026/1/19
2026 Outlook Series Part 4 – Key Industries: Memory
This article focuses on the key industry under the 2026 AI outlook—memory. From the angles of supply contraction and shifts in demand structure, it analyzes how NAND, DRAM, and HBM—driven by AI data centers, high-performance computing, and enterprise storage—are moving into an industry cycle of broad-based undersupply. With manufacturers maintaining conservative capex, DDR4 entering EOL, the crowding-out effect from HBM intensifying, and AI-driven storage demand growing far beyond expectations, memory pricing has entered an upcycle since 2025 and is set to remain strong into 2026, making memory one of the most structurally advantaged core industries within AI infrastructure.
- Industry
2026/1/19
2026 Outlook Series Part 3 – Key Industry: Thermal Management
Against the backdrop of rapidly rising AI compute demand and continuously increasing chip TDP, the thermal management industry is entering a critical technological inflection point. This article is the third installment of fiisual’s 2026 Outlook Series, focusing on the core structural changes in AI server cooling architectures and providing an in-depth analysis of how liquid cooling—driven by GB300 GPUs and AI ASICs—is officially becoming the mainstream cooling solution. The article compares the performance differences between air cooling and liquid cooling, explains the rising value content of key liquid-cooling components such as cold plates, QD, and CDU, and explores the growth drivers, technology roadmaps, and investment opportunities within Taiwan’s supply chain for the thermal industry in 2026.
- Industry
2026/1/15
2026 Outlook Series Part 2 – Key Industry Focus: ASIC
Continuing from the previous article, as AI enters its fourth year of development, the market is shifting from optimistic expectations to a more rigorous evaluation of actual performance. In 2026, investment focus is no longer just about whether a company is "related to AI," but rather about who can deliver irreplaceable structural value amid the surge in inference demand and increasing scrutiny on capital efficiency. This article will focus on the ASIC industry, analyzing which segments of the supply chain are most likely to become key beneficiaries in the next phase as AI moves from training to inference. It will also highlight the roles that relevant Taiwanese companies are expected to play in this transformation.





