Chips, China, and credit. The three forces tearing through the AI trade right now, and we called it last week. In this episode we break down why the bond market cracked first, what widening credit spreads on Nvidia, Meta, and Oracle are actually telling you about default risk, and why the Nasdaq is bleeding while the S&P barely flinches. We walk through Alphabet's first negative free cash flow after twenty years of printing money, the CapEx numbers that keep getting revised upward, and the moment the market stopped rewarding spending and started punishing it. If you have ever wondered how to read a credit spread, we show you the math live.

Then we get into the China story that moved markets this week. CXMT went public in the largest mainland Chinese semiconductor IPO on record, oversubscribed 212 times, and the Korean stock exchange took the hit because the KOSPI is essentially a memory-chip index wearing a trench coat. We explain why memory matters in an AI data center, why Samsung, SK Hynix, and Micron controlling 90 percent of the market was the whole moat, and what reports of domestically produced DUV lithography machines would mean for US export controls. We also unpack Nvidia guaranteeing borrowing for a 10-gigawatt OpenAI data center in Ohio, and whether circular financing between chipmakers and model labs is clever structuring or an accounting Ouroboros.

Finally, the philosophical hangover. We react to Elon Musk's Economist interview and his claim that money stops mattering within a decade, pressure-test his deflationary argument against MV equals PQ, and ask why every science fiction author who ever imagined artificial superintelligence wrote a horror story. Plus Anthropic's positioning ahead of a possible IPO, the distillation and copyright fight with publishers, the rare books being unbound and shredded to feed training data, and where value actually accrues if models commoditize. Energy and molecules, or something else entirely. Subscribe for weekly deep dives on AI infrastructure, credit markets, semiconductors, and the money moving underneath the entire AI build-out.