To The Moon

Six weeks ago, investors were desperate to get into $SpaceX(SPCX)$ . Today, many seem just as eager to bet against it. The stock was priced at $135 in its IPO, surged to $225.64, and finished last week at $115.07—nearly 49% below its peak. Along the way, an estimated $15.5 billion in paper profits accumulated on short positions. The mood has completely flipped. And that's exactly why this story is becoming more interesting. The first lesson was about hype. The second is about positioning. Before the IPO, the biggest risk wasn't the business itself—it was investor behavior. Too many buyers chased too few shares, and scarcity helped fuel an explosive rally. When the stock later fell back to its IPO price, some investors immediately assumed $135 had

The latest earnings season delivered a clear message: AI demand remains strong, but the market is becoming far more selective about how it rewards AI spending. $Alphabet(GOOG)$ $Alphabet(GOOGL)$ and $Tesla Motors(TSLA)$ both reported solid top-line results, yet their stocks sold off sharply after earnings. That wasn't because investors suddenly stopped believing in AI. It was because the conversation has shifted. Bigger AI budgets are no longer enough Alphabet continues to invest aggressively in AI infrastructure, with full-year capital expenditure expected to reach $180–190 billion. Revenue continued to grow, but investors focused on something else: capital spe

$Alphabet(GOOG)$ $Alphabet(GOOGL)$ just sent a clear message to the AI market: The AI infrastructure race is not slowing down. The company raised its 2026 capital expenditure forecast for the second time, lifting the range from $180–190 billion to $195–205 billion. Management also indicated that capital spending will remain significantly higher in 2027. The market’s immediate reaction was notable, with semiconductor stocks rebounding after hours as investors interpreted the move as another confirmation that AI infrastructure demand remains strong. Google Cloud Becomes the Key Growth Engine The biggest highlight from the quarter was not just AI spending — it was the performance of Google Cloud. Google Clo

$Tesla Motors(TSLA)$ 's latest message wasn't really about EV deliveries. It was about Optimus. During recent remarks, Elon Musk made it clear that he believes Tesla's humanoid robot could ultimately become the company's most important product—larger than anything it has built before. That statement says a lot about where Tesla believes its future lies. From building products to building platforms Looking back, Tesla's biggest achievements were never just the products themselves. The company didn't simply build electric cars. It built factories, battery technology, charging infrastructure, and manufacturing systems that allowed EV production to scale. The same pattern can be seen elsewhere in Musk's companies. Rather than focusing on a single prod

$Tesla Motors(TSLA)$ used to be the headline act of every earnings season. Investors watched every delivery number, every margin update, and every comment from Elon Musk. The stock was known for its ability to move sharply on even small changes in expectations. But the spotlight has shifted. With $SpaceX(SPCX)$ becoming a major market focus after its public debut, Tesla is no longer the only Musk-related asset attracting investor attention. At the same time, the stock has lagged behind major AI infrastructure names such as $Microsoft(MSFT)$ and $Meta Platforms,

China's AI infrastructure race has reached a new stage. Z.AI has reportedly completed a 1-gigawatt AI data center, with the facility beginning partial operations using only domestically produced chips and no $NVIDIA(NVDA)$ hardware. The development highlights a major shift in the global AI competition: The race is no longer only about building better models—it is also about building the computing infrastructure behind them. Why China Is Building Its Own Stack The new data center is designed to support Z.AI's frontier GLM model development. Inside the facility are multiple computing clusters, each containing more than 10,000 domestic AI chips. A 1-gigawatt power capacity represents a massive infrastructure commitment, showing that China is attempti

$Alibaba(BABA)$ is starting the second half of the year with another major AI milestone. The company has released a preview of its new flagship model, Qwen3.8 Max, describing it as one of its most advanced AI models to date. Developers can already access the preview through Alibaba's coding platforms, with a broader open-weight release planned in the future. The launch comes just days after another major Chinese AI model announcement, underscoring how quickly competition among leading domestic AI developers is accelerating. But the bigger story for investors may be what happened next. Apple's AI Rollout Could Expand Qwen's Reach Alibaba may have also received one of its strongest commercial endorsements yet. According to the reported arrangement,

Elon Musk recently made one of his boldest statements yet about $SpaceX(SPCX)$ . Responding to a discussion on X, he said that if SpaceX achieves its long-term goals, it could eventually be "worth more than the rest of Earth." At first glance, the comment sounds purely about valuation. But viewed alongside Musk's broader comments on AI and automation, it reflects a much larger vision. Beyond Market Capitalization Around the time of SpaceX's IPO, Musk argued that advances in AI and robotics could eventually make money far less important than it is today. His reasoning is that if technology dramatically increases the supply of goods and services, traditional measures of wealth could become less meaningful. That doesn't mean scarcity disappears. Acco

$SpaceX(SPCX)$ remains one of the market's most closely watched stocks—and one of its most polarizing. The stock has fallen roughly 45% from its June high, traded lower in nine of the last ten sessions, and recently slipped below its IPO price for the first time. At the same time, short sellers have continued to build positions, with reported short interest now approaching one-third of the company's public float, representing roughly $25 billion in bearish bets. Two Very Different Views The recent selloff has split investors into two camps. The bearish argument is centered on valuation. Even after the sharp decline, critics argue the company still trades at a rich multiple relative to revenue, suggesting much of its long-term growth is already ref

Apple briefly reclaimed the title of the world’s most valuable company, overtaking Nvidia in market capitalization. With a market value approaching $4.9 trillion, Apple moved ahead of Nvidia after recent weakness in AI infrastructure stocks. But the gap remains extremely narrow. The two companies could easily swap positions again depending on daily market moves. Still, the moment highlights an important shift: Investors may be starting to broaden their definition of AI winners. Nvidia Won the AI Infrastructure Race. Apple Chose a Different Path. Over the past two years, Nvidia has been the undisputed symbol of the AI boom. The market rewarded the companies building the foundation of artificial intelligence: GPUs Data centers Networking Compute infrastructure Nvidia became the ultimate AI i