China's Memory Localization and Korea: Decomposing Samsung, SK Hynix and Micron's China Exposure from Disclosures

Semiconductors were 38.7% of Korea's H1 exports and China is their largest market. With HBM restricted, exports to China concentrate in commodity DRAM and NAND, precisely the segment CXMT and YMTC target. We decompose each company's China exposure from disclosures and show the real risk is not lost China revenue but the second-order effect of displaced volume flowing to other markets and pressuring global ASP. The conclusion is a structural discount variable for 2028 and beyond rather than a 2026 earnings risk.

Reading 43 Posts by Policy Chief Kim Yong-beom: From AI and Semiconductors to Power, Finance and Regional Capacity

An analysis of 43 public Facebook posts and 114,907 Korean characters published by South Korea's policy chief Kim Yong-beom between February 23 and July 17, 2026. The article separates personal policy hypotheses from official programs, maps the recurring chain from AI and semiconductors to power, water, fabs, policy finance, regional capacity and social distribution, and translates it into five investor verification gates.

Is China's AI API Pricing Sustainable? Verifying the Cost Structure Through Disclosures

DeepSeek V4-Pro's output costs 34 times less than GPT-5.6 Sol. Is that sustainable pricing, or the road to winner-take-all as in EVs? Hong Kong disclosures from Zhipu and MiniMax split the answer: paid frontier APIs have started clearing marginal inference cost, but neither recovers fully loaded cost including training. China's cost edge is not Huawei silicon or cheap electricity but the stack of model architecture, batching, caching and cloud utilization, with the power gap worth only about 2% of compute price.

What China's Open-Model Convergence Actually Changes: Value-Chain Redistribution, Not Demand Collapse

Chinese open models are converging on US frontier performance while being served on domestic Chinese inference infrastructure. This is value-chain redistribution rather than an AI demand collapse. The monopoly value of model APIs and leading-edge GPUs falls, while cheaper inference lifts token volume and can raise the value of memory, storage, networking, power and cloud distribution. This post maps how US AI policy and US-China tension reshape that reading, and whether Chinese model APIs can be adopted by Western enterprises.

U.S. House Letter Seeking Chinese Memory Procurement Restrictions: CXMT, YMTC, and the 2028 Cycle

We verify the July 16, 2026 bipartisan letter from the House Select Committee on China — examining its legal force, product-level impact, the 2027–2028 oversupply risk, and investment implications for Samsung, SK Hynix, Micron, SanDisk, and Kioxia.

Are Semiconductors Cyclical, and What Is Fair Value? Pricing Samsung, SK Hynix and Micron with FCFE and Normalized Earnings

Samsung at 3.9x and SK Hynix at 4.3x on 2028 consensus means the market doubts the duration of those earnings, not their existence. This post works through whether semis are cyclical, which multiple belongs on which EPS, whether the current debate shakes 2028 EPS or only the multiple, why 2029 is not too distant, and where 2026-2028 cash actually goes, then computes probability-weighted fair values for all three names using FCFE plus a normalized terminal value.

The Real Debate in Semiconductors: Four Physical Clocks and One Stock-Price Clock

The semiconductor bull and bear no longer argue over whether AI demand exists. The real questions are whether demand outruns supply and efficiency gains, whether the lags between price, orders, construction and monetization are narrowing, and whether incremental revenue survives depreciation and cost of capital to reach shareholder cash flow. This post decomposes that structure through four physical clocks and one stock-price clock, shows how both sides read identical evidence in opposite directions, and sets the gates that would change the call. The central path is a fundamental bull coexisting with a valuation bear.