Latest Articles
IBM Q2 2026 Earnings Preview: What Should Investors Watch on July 22?
IBM will release its formal Q2 2026 earnings on July 22. This preview reviews preliminary revenue and EPS, Red Hat growth, z17 orders, margins, free cash flow, and full-year guidance to help you identify the earnings-call signals that may truly affect IBM stock.
Samsung’s Strong Earnings Drag Chip Stocks Lower: Are AI Expectations Already Too High?
Samsung’s strong earnings triggered a sell-off in chip stocks. The key issue is not weak results, but the repricing of AI expectations, the memory pricing cycle, capital expenditure returns, and valuation pressure.
Why Do Semiconductor Stocks Fall Together? The Linkage Logic Between Samsung, TSMC, ASML, and Nvidia
Semiconductor stocks often fall together due to a shared repricing of AI demand, CAPEX, valuations, and ETF flows. This article explains how Samsung, TSMC, ASML, and Nvidia are linked across the chip supply chain.
How Much Longer Can HBM Keep Rising? A Cycle View from Supply, Pricing, and AI GPU Demand
HBM demand is still being driven by AI GPUs, AI ASICs, and inference servers, but the cycle has moved from broad shortage to structural divergence. Analyze HBM’s outlook through supply, pricing, HBM4, AI GPU demand, and inventory signals.
AI Data Center Storage Architecture: What Do HBM, DRAM, SSD, and HDD Each Do?
AI data center storage architecture is not just about GPUs and HBM. Learn how HBM, DRAM, SSD, and HDD divide responsibilities across training, inference, caching, hot data, cold data, and long-term archiving, and how they affect AI infrastructure and memory supply-chain investment analysis.
How to Read Semiconductor Equipment Orders: ASML, Applied Materials, Lam Research, and AI Demand
Semiconductor equipment orders are a key leading indicator for the AI chip capacity cycle. By understanding ASML, Applied Materials, and Lam Research orders, backlog, WFE guidance, advanced logic, HBM, DRAM, and advanced packaging demand, you can better judge how AI demand flows into equipment stocks.
What Is CoWoS? Why Does It Limit NVIDIA GPU Shipments?
CoWoS is TSMC’s advanced packaging technology for connecting GPUs, chiplets, and HBM. Understanding the CoWoS bottleneck helps investors analyze NVIDIA GPU shipments, the AI chip supply chain, and TSMC’s advanced packaging expansion cycle.
What Is the Difference Between AI Training and Inference Costs? Why Inference Demand Determines Long-Term Compute Revenue
AI training costs are concentrated in building model capabilities, while AI inference costs occur continuously with every model call. Understanding training, inference, tokens, GPU utilization, and cloud revenue helps investors evaluate long-term compute demand and the AI infrastructure value chain.
If Cloud Providers Cut AI CAPEX, Which Stocks Would Be Hit First?
If cloud providers such as Microsoft, Alphabet, Amazon, and Meta cut AI CAPEX, the first stocks usually affected are in GPUs, ASICs, AI networking, servers, HBM, power and cooling, and semiconductor equipment. Understanding order transmission, revenue exposure, and valuation sensitivity helps investors evaluate the risk sequence for NVIDIA, AMD, Broadcom, Arista, Micron, TSMC, ASML, and related stocks.