Senior Wisdom: Navigating Capital and Power

How Memory Supercycles End: What CXMT's 4F² Claim Really Tells Us How Memory Supercycles End: What CXMT's 4F² Claim Really Tells Us By Leo Jaeyoul Lim | CEO, SEJONG DnC Market observer since the 1990s · October 15, 2026 · Semiconductors & Markets · 9 min read Figures as of the October 14 close, before the September U.S. CPI release. Single-source figures are flagged in the text. One press report did not end the memory supercycle, but it did reprice how much of it investors were willing to pay for. On October 13, KOSPI fell 5.46% to 6,035.35, SK hynix dropped roughly 10%, and U.S. chip shares extended a multi-day slide after reports that China's CXMT had made key progress on a denser DRAM design. A Broadcom CEO remark comparing AI investing to a casino, and a reset in OpenAI's reported run-rate revenue, landed on the same days. This piece separates what has been reported from what has been proven, shows how earlier memory cycles actually ended, and lays ...

Apple's Supplier Casualties: Why Single-Customer Plants Fail Apple's Supplier Casualties: Why Single-Customer Plants Fail By Leo Jaeyoul Lim | CEO, SEJONG DnC Market observer since the 1990s · October 12, 2026 · Technology & Supply Chains · ~11 min read On July 24, the German battery maker Varta filed four insolvency petitions after, according to Reuters, Apple decided to source the rechargeable CoinPower cells inside AirPods from China. Headlines since then have implied that Apple's suppliers are failing one after another. The record is narrower, and more instructive. Across twelve years only two Apple-linked suppliers I can verify, GT Advanced in 2014 and Varta in 2026, ended in insolvency filings. Others were sold, rescued or absorbed. This piece argues that the real story is not a wave of bankruptcies but a repeatable structure: plants built for one buyer, financed as if that buyer's plans would never change. Below I separate what the evidence confirms, ...

Fed Minutes, a 5.3% Auction and the AI Inflation Channel Fed Minutes, a 5.3% Auction and the AI Inflation Channel By Leo Jaeyoul Lim | CEO, SEJONG DnC Market observer since the 1990s · October 8, 2026 · Macro & Rates · ~12 min read On Wednesday the Federal Reserve published the minutes of its September meeting, and the U.S. Treasury sold $39 billion of 10-year notes at a yield of 5.3%, the highest auction yield since 2000. Yesterday I wrote about what to watch in the minutes. Now we have the answer, and it is less dramatic and more uncomfortable than the headlines suggest. All 19 participants backed the September hike, and most expected another by year-end. The auction drew strong demand, yet the 10-year yield still touched a 24-year high near 5.36% during the session. This piece argues that the market is no longer trading the labor data. It is trading inflation persistence, energy and the cost of financing the AI build-out . Below I separate what the minutes actually confirm...

Weak Jobs, Higher Yields: What to Watch in the Fed Minutes Weak Jobs, Higher Yields: What to Watch in the Fed Minutes By Leo Jaeyoul Lim | CEO, SEJONG DnC Market observer since the 1990s · October 7, 2026 · Macro & Rates · ~13 min read On Friday, the U.S. labor market delivered one of its weakest prints in months: 29,000 new jobs against roughly 84,000 expected, a jobless rate that edged up to 4.2%, and 60,000 jobs shaved off July and August. In an older market, that is a recipe for falling bond yields. Instead, the 10-year Treasury yield sat near 5.3% on Monday, within a few basis points of its highest level since 2002, while the 20-year climbed to a fresh 52-week high above 5.7%. The Nasdaq closed at a record the same day. This piece argues that bad news is no longer good news for bonds, because the market is pricing inflation and supply rather than employment alone. It walks through the data, the global backdrop, the diesel problem that keeps inflation risk alive,...

GPU-Backed Loans Explained: Nvidia's $500B Plan at 5% Yields By Leo Jaeyoul Lim | CEO, SEJONG DnC Market observer since the 1990s · October 4, 2026 · AI Infrastructure · 12 min read When the 10-year Treasury yield touches 5.34%, the cheapest assumption in finance, that money is easy to borrow against anything shiny, stops holding. This week that rule met the most capital-hungry industry on earth. On October 1, Reuters reported that Nvidia is promoting a financing plan of up to $500 billion in which lenders would fund AI data centers with the chips themselves as collateral, and that Wall Street is asking hard questions about it. The questions are old ones. How long does a GPU really last? What is it worth when its first buyer is done with it? And who pays if the answer is "much less than hoped"? I have watched several credit cycles in which a new class of collateral looked unbreakable until it was tested: ships, aircraft, shopping malls, fiber networks. The pattern...

The Loneliness Economy: AI Companions Meet Regulation The Loneliness Economy: AI Companions Meet Regulation By Leo Jaeyoul Lim | CEO, SEJONG DnC Market observer since the 1990s · October 2, 2026 · Technology & Society · AI Industry · ~12 min read Loneliness has become a recurring line item. In the first half of 2026, consumers spent roughly $164.8 million on general-purpose AI companion apps and $162.8 million on romantic and NSFW companion apps in mobile stores alone, according to Appfigures data reported by Decrypt. Add the two and you get about $328 million in six months, a figure that excludes web-only platforms. At the same time, regulators in Washington, Sacramento, Beijing, Brussels and Seoul have moved from studying emotional AI to writing rules for it. This piece argues that the AI companion business is no longer a consumer-app curiosity: it is a regulated category whose economics are being rewritten in real time. The most probable path is growth under tighte...