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Goldman Sachs just put a number on the data center backlash. Its economists say Democratic wins at the state and local level are likely to lead to short term data center moratoria, potentially affecting about 45% of planned United States data center capacity expansion. Texas alone accounts for roughly 25% of planned capacity, and Gina Hinojosa won the governor's race promising a pause. Voters sent the same message because local ballot measures restricting data centers passed 33 to 1, and 76% of voters in NBC's exit poll said they would oppose a new data center in their community. Goldman expects the pauses to be TEMPORARY, easing as the political pressure fades. But for neoclouds and power names, delays are expensive. $CRWV $NBIS $IREN $ORCL $VST

According to Korean media, South Korea's stock market just hit the PANIC button. The KOSPI fell more than 8% in the first minutes of trading and broke below 5,000, triggering a 20 minute circuit breaker. Samsung Electronics and SK Hynix both plunged around 10% or more at the open as the AI selloff on Wall Street spilled into Asia. The index later bounced and was last seen around 5,165, down about 4%, with Samsung and SK Hynix still deep in the red but off their worst levels. Retail investors have been heavy buyers of those two chip names through the selloff, so Seoul just suspended the 140% margin collateral rule for securities firms for three months starting November 9. That is the same emergency tool Korea used in 2022 to stop forced margin liquidations. $MU $NVDA $AVGO $TSM

Everyone is worried about hyperscalers spending too much money on AI infrastructure, but I think investors are seriously underestimating just how much cash these companies are going to generate over the next several years. Alphabet, Microsoft, Meta, and Amazon are collectively expected to generate more than $600B in annual free cash flow by 2030, even after accounting for their massive capital expenditures. And this is exactly why I think a lot of the concerns surrounding hyperscaler spending are getting overblown. We're currently witnessing one of the largest infrastructure buildouts in history, with hundreds of billions of dollars being invested into data centers, GPUs, networking equipment, memory, power infrastructure, and everything else needed to support the next generation of AI. Naturally, this is putting enormous pressure on free cash flow in the near term. Some of these companies could even see their free cash flow decline substantially over the next couple of years as capital expenditures continue accelerating. But here's what I find interesting. These companies aren't borrowing hundreds of billions of dollars to keep struggling businesses alive. They're investing aggressively while their existing businesses are already generating enormous amounts of cash. Microsoft has Azure, Office, and its enterprise software ecosystem. Alphabet has Search, YouTube, and Google Cloud. Amazon has AWS, advertising, and its massive e-commerce business. Meta has one of the most profitable digital advertising businesses in the world. These businesses aren't disappearing because AI infrastructure spending is increasing. In fact, AI could eventually make all of them even more profitable. And keep in mind, the infrastructure being built today isn't just supporting today's AI workloads. It's laying the foundation for AI agents, autonomous systems, robotics, enterprise automation, and entirely new applications that haven't even reached commercial scale yet. This is also why I remain bullish on the broader AI infrastructure trade. As hyperscalers continue expanding their computing capacity, the demand for semiconductors, optical networking, memory, power equipment, and data center infrastructure should remain substantial.