$SPY fell about 1.2% today to around $764, spending most of the session pinned near $762 before a small bounce into the close.
Here are the top stories you need to know.
1. Chip stocks had their worst day since June, with the Philadelphia Semiconductor Index down about 6% and every single component trading lower.
2. $META fell about 8% after raising its 2026 capex range to $135 billion to $145 billion, posting its first cash burn in more than a decade, and announcing plans for a new class of non voting shares.
3. $NVDA fell about 4.6% after Jensen Huang said neoclouds have more demand than they can handle but are short on funding, which Wells Fargo said spooked the market.
4. $CRWV dropped about 9% to a fresh 17 month low below $60, while $IREN fell below $25 to a 13 month low as AI debt fears hit the neoclouds again.
5. $LRCX slid after saying supply chain constraints held back its guidance, and $AMAT also fell about 6% as chip equipment stocks sold off.
6. $AMD fell about 8.7%, $MU fell about 6%, and $SNDK dropped nearly 10% as AI chip and memory stocks sold off together.
7. $COHR was the worst performer in the S&P 500, down more than 11%, as optics stocks took some of the biggest hits in the AI trade.
8. $SPCX fell about 9% and $TSLA slipped even though Tesla posted positive free cash flow and cut its 2026 capex plan.
9. The 10 year Treasury yield fell below 5% for the first time in nearly a month, while Brent crude climbed above $111 on fears of renewed United States strikes on Iran.
10. $NBIS secured a $3.5 billion financing facility from Citi to help fund its global AI data center and GPU expansion.
I know the market has been absolutely BRUTAL lately, especially for those of us invested heavily in AI, semiconductors, and other high growth stocks.
But I think it's important to put what's happening into perspective. Right now, investors are dealing with inflation, elevated bond yields, Iran war, Midterms, concerns about AI spending, and uncertainty around how some of these massive infrastructure investments will be financed. In 2020, the S&P 500 collapsed roughly 34% during COVID, only to recover its losses within months. In 2022, the Nasdaq fell more than 30% as inflation surged and the Federal Reserve aggressively raised interest rates. Many investors genuinely believed the technology trade was finished. Yet the market eventually recovered and went on to make new highs.
Now, I'm not saying every beaten down stock will recover, because plenty won't. And I'm certainly not saying we've reached the bottom. But history has repeatedly shown us that some of the greatest long term investment opportunities have appeared during periods when investor sentiment was at its worst. And that's exactly why I bought the dip.
I genuinely believe we're living through one of the greatest technological advancements in human history. AI is going to fundamentally change how we work, how businesses operate and how the global economy functions. But that doesn't mean the journey is going to be a straight line higher. There are going to be plenty of bumps along the way. There will be corrections, periods of uncertainty, companies that fail and moments when investors begin questioning whether the entire opportunity was overhyped.
We've seen this happen during nearly every major technological revolution, and I don't expect AI to be any different. My long term conviction in AI infrastructure hasn't changed. The demand for compute, memory, networking, and power isn't suddenly disappearing because stocks are selling off. And building wealth in the stock market is NOT easy, if it were, everyone would be rich. Everyone wants the massive returns, but very few people are willing to endure the volatility, uncertainty, and patience required to get there. Of course, conviction alone isn't enough. You still need to manage risk, understand what you own, and recognize when the fundamentals actually change. But I'm not going to let a few difficult weeks in the market distract me from an investment opportunity I believe will play out over the next decade.
Think in decades, not days.
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