The most important signal today was not the Nasdaq rising roughly 2%. It was money moving back into the entire AI supply chain. With $苹果(AAPL)$ as the only exception, the Magnificent Seven rallied almost across the board. $Meta Platforms, Inc.(META)$gained roughly 6%, $微软(MSFT)$ and $谷歌(GOOG)$nearly 5%, Amazon 4.6%, Tesla 3.5%, and Nvidia around 3%. Amazon’s market capitalization also crossed $3 trillion for the first time. The rally then spread upstream. $Applied Optoelectronics Inc.(AAOI)$surged ro

This earnings season made one thing very clear: Wall Street is not turning bearish on AI. It is simply becoming much more selective about who deserves to spend hundreds of billions of dollars on it. Microsoft surged nearly 16%. Meta fell roughly 8%. Amazon delivered an enormous earnings beat, but the quality of that beat was more complicated than the headline suggested. All three companies are spending aggressively on AI. The difference is how quickly that spending is turning into revenue and cash flow. Microsoft Proved AI Can Generate Cash $Microsoft(MSFT)$ delivered the cleanest answer. Quarterly revenue reached $90 billion, Azure grew 43%, and management expects cloud growth to accelerate to approximately 45% next quarter. The c

Storage stocks finally stopped falling. $闪迪(SNDK)$surged approximately 26%, $美光科技(MU)$gained 18.4%, $西部数据(WDC)$ rose 15.4%, and $希捷科技(STX)$ climbed 11.4%. Microsoft’s earnings and Amazon’s accelerating AWS growth restored confidence in the AI infrastructure trade. Oversold conditions and short covering then transformed that confidence into an explosive rally. It was an incredible session. But one giant green candle is not enough to confirm a reversal. Samsung Proved the Memory Boom Is Still Real Samsung delivered one of the strongest memory earnings reports of t

Today was a macro-driven selloff, not the end of the AI trade. The Dow fell 2.2%, the S&P 500 lost 1.5%, and the Nasdaq dropped 1.7%. Oil surged back toward $90, the Fed delivered a hawkish hold, and crowded semiconductor positions faced another round of forced selling. But after the close, Microsoft and Meta confirmed something far more important: the AI investment cycle is not slowing down. If anything, it is still accelerating. The Fed Held Rates, but the Message Was Hawkish The Federal Reserve kept rates unchanged at 3.50%–3.75%, but the vote was 9–3, with three policymakers calling for an immediate 25-basis-point hike. That was not a normal pause. The Fed is still worried about inflation, while the market has started pricing in a real possibility of another hike. At the same time,

The global AI supply chain may look massive, but the number of nodes that actually determine its direction is surprisingly small. If you think of the entire AI ecosystem as a transmission system, only two positions truly matter. One determines demand. The other determines sentiment and industry health. The first is NVIDIA. The second is memory. — NVIDIA Determines Demand Today, virtually all AI infrastructure spending revolves around NVIDIA. GPUs are the core assets of AI clusters. Whether it's hyperscalers, model developers, or telecom operators, their purchasing decisions ultimately flow back to NVIDIA's order book. That's why the market has long followed a simple rule: NVIDIA determines whether the AI supply chain gets paid. The moment NVIDIA demand shows signs of weakness, servers, PCB

Memory stocks got crushed today. The broader market sold off. And suddenly the same questions are everywhere: Is the AI trade over? Has the memory story peaked? Is this the beginning of the AI bubble bursting? Or is Wall Street finally waking up to reality? The funny thing about markets is that everyone feels like Warren Buffett during a bull run. Every gain gets attributed to skill. Every rally feels justified. But the moment volatility returns, conviction disappears. Investors who were comfortable buying after a 300%, 500%, or even 1,000% move suddenly become terrified after a 10% correction. Yet the reality is simple: A stock dropping does not automatically mean the thesis is broken. Price action and fundamentals are not the same thing. And when great companies become cheaper without a

$美光科技(MU)$ $闪迪(SNDK)$ $纳指100ETF(QQQ)$ Tomorrow's Micron earnings might be the single most important print in the entire AI supply chain this year. Most people think the market is just trading Micron. It isn't. What the market is really pricing in is how fast AI infrastructure spending will scale over the next two years. The AI Supply Chain Has Entered Phase Two Phase one was about GPUs. Phase two is about memory. For the past two years, the conversation was all about needing more compute. But as model sizes keep growing, inference demand has started to outpace training demand. The real bottleneck isn't just the GPU anymore — it's whether data can actually get to the