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Edward Dowd thinks the AI bubble isn't about to burst. He thinks it already started, and most people are watching the wrong indicators. We recorded the evening NVIDIA reported earnings. He'd already moved on to what comes after. Ed ran money on Wall Street at BlackRock. His argument is...

216,083 görüntüleme • 9 gün önce •via X (Twitter)

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THIS BUBBLE IS WORSE THAN 2000 If you have money in the stock market, read this carefully. The market is climbing while liquidity gets pulled out underneath it. Now look at valuations. Shiller CAPE: 42.05. The only time it was higher was 1999, right before the dot-com crash. Buffett Indicator: 229.9%. In 2000, it was 146%. That means today’s market is 1.6x higher than the dot-com peak by that metric. Buffett is sitting on $325B in cash and selling stocks. He is not guessing. He is reading the same math. Now concentration. Top 10 stocks control 41% of the S&P 500. They generate only 32% of profits. In 2000, top concentration was 23%. This is not a diversified index anymore. It is a crowded bet on a handful of companies, and most of them are tied to the same AI story. Now add leverage. Margin debt hit $1.28T. That is 4.1% of GDP. In 2000, it was 2.7%. Investors are borrowing more to buy stocks than they did at the dot-com peak. And the reversal may have already started. Margin debt peaked in January 2026 and dropped 4.5% in two months. The S&P dropped 5.9% in the same window. Last time margin debt rolled before the market? 2000. 2007. Every time, the market followed. Now look at AI. In 2000, telecom companies spent billions building fiber for “the internet future.” Capex hit 4.5% of GDP. Today, hyperscalers are spending on data centers for “the AI future.” Tech capex is 4.4% of GDP. Almost the same number. Back then, Lucent and Nortel helped finance customers who bought their equipment. Today, Nvidia invests in companies that buy Nvidia chips. Same loop. Different label. In 2000, the bubble was internet infrastructure. In 2026, it is AI infrastructure. The companies are bigger now. The spending is bigger. The index concentration is worse. The leverage is higher. And the market is priced like the returns are already guaranteed. That is the danger. If one major earnings report shows AI spending is not paying off, the repricing starts. And with 41% of the index sitting in the same trade, there is nowhere clean to hide. That’s why I’m watching this situation very closely right now. When the next move becomes clear, I’ll post it here first. Follow and turn notifications on.

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