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2026/1/19
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.
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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.
2026/1/15
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.
2026/1/13
In 2026, the global economy is entering a new phase of “multi-speed and uneven” growth, with AI expected to remain a core engine driving macro momentum.In the U.S., consumption and employment continue to diverge. Sticky inflation and labor market restructuring are eroding the spending capacity of middle- and lower-income households, while credit risk is gradually surfacing. With limited room for rate cuts, market focus is shifting from valuation expansion to profitability and capital efficiency. AI investment is also moving from a “scale-first” to a “return-first” approach, with capital increasingly concentrated in players demonstrating sustainable, long-term competitiveness.
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# Long-term Investment
