To The Moon

🎁 Tiger Rewards: Join the AI Valuation Debate! Get your Tiger Coins before the opening bell with these two challenges: 🎯 The "NVIDIA Pulse" Challenge Comment "NVDA Up" or "NVDA Down" for today’s closing price + Repost this article. Get 10 coins for participating, and an extra 10 if you predict the direction correctly! 📈📉 💰 The "Monetization" MVP Which company is actually winning the AI "cash-out" race? (MSFT / GOOGL / META / AMZN)? Drop your pick and why + Repost to claim 10 coins. AI Deep Dive: Post-GTC Reality Check The first full trading day after the NVIDIA GTC conference has arrived, and the vibe has shifted. With the Fed’s dot plot hacking rate cut expectations down to just one move, the "Higher for Longer" reality is forcing an aggressive re-rating of AI valuations. We are officiall

The GTC hype has officially met the opening bell. While the flashy keynotes are over, the real heavy lifting for your portfolio starts now. We’re seeing a massive structural shift in how Wall Street values AI: the "Gold Rush" phase of just buying chips is evolving into a "Productivity" phase. Here’s the breakdown of the heavyweights moving the needle today. 1. $NVIDIA(NVDA)$ : It’s All About the Margins Now The narrative is moving from "How many chips can you ship?" to "How much profit is in the inference?" The Big Pivot: With the Vera Rubin architecture slashing inference costs by 40%, NVIDIA isn't just selling hardware; they are expanding the Total Addressable Market (TAM). Lower costs mean AI becomes viable for everyone, not just the tech giant

🎁 [LIMITED TIME] Tiger Coin Challenge: Predict the AI Winner! Before we dive into the data, let’s get those rewards moving: The Crystal Ball (100 Tiger Coins): Which Big Tech giant will clock the fastest AI revenue growth in Q1 2026? Drop your pick below. Correct guesses bag 100 Coins; participation gets you 20. The Life Hack (50 Tiger Coins): How is AI making you a better investor? Share your go-to ChatGPT or Copilot prompts for stock analysis. The best insights snag 50 Coins. AI Deep Dive: The "Inference Revolution" is Officially Here Forget the generic "AI is the future" headlines. We’ve reached the Inference Era. The big boys have stopped just building the engines; now, they’re finally driving them into their balance sheets. If you’re tracking the S&P 500

The tech world is collectively holding its breath. As we count down to $NVIDIA(NVDA)$ ’s GTC (March 16-19), the "Woodstock of AI" is about to kick off. Jensen Huang is stepping onto the stage, and the stakes couldn't be higher. Is the AI rally just getting started, or are we hitting a "sell the news" ceiling? Here is everything you need to know to navigate the volatility. The Main Event: Blackwell Takes the Stage The undisputed star of the show will be the Blackwell architecture, specifically the B100 and B200 GPUs. We aren't just talking about a minor spec bump here. Performance: Rumors suggest a massive 2x to 4x leap in AI throughput compared to the current H100. Efficiency: In a world starving for power, a projected 30% reduction in energy cons

The second half of the AI wave is no longer just about algorithms—it’s about who has the "hardest" infrastructure. While the market obsesses over Nvidia’s earnings fluctuations, the underlying logic has shifted: AI power centers are evolving into a multi-billion dollar arms race for electricity and land. From Oracle’s gigawatt-scale project in Texas to Meta’s deep-seated cloud partnerships, tech giants are making "manic" capital investments to lock in their seats before the next explosion of intelligence. 1. $Oracle(ORCL)$ – $420B Quietly, something shifted this quarter. For the first time, Cerebras chips got a shoutout on the earnings call. Oracle's now standing in the same sentence as $NVIDIA(NVDA)$ and

Tracking AI moves across the biggest players shows who’s leading, who’s catching up, and where the real growth is.1. $NVIDIA(NVDA)$ — AI Chip KingToday’s Moves: Partnered with Thinking Machines Lab, investing $50B for 1GW compute, Vera Rubin system rolling out early next year.AI Setup: H100/H200/Blackwell GPUs, CUDA software ecosystem, stakes in multiple AI startups.Score: ⭐⭐⭐⭐⭐Edge: Massive moat | Growth: Sky-high | Risk: Valuation richAction: Long-term hold, buy on dips2. $Microsoft(MSFT)$ — AI App LeaderToday’s Moves: Drives 62% of CoreWeave revenue, Azure AI expansion, Copilot suite growing.AI Setup: Azure OpenAI cloud, Microsoft 365 Copilot, top OpenAI shareholder.Score: ⭐⭐⭐⭐⭐Action: Core holding3. <

In his latest talk and report, AI Eats the World, Benedict Evans draws a clear distinction between the hype surrounding artificial intelligence and the nature of real technological transformation. In his view, the questions worth revisiting again and again are how generative AI will actually change the world—and who, in the process, will ultimately capture the value and profits.The report has attracted wide attention not because it names clear winners, but because it places the current AI boom back into a much longer technology cycle: the emergence of a new platform shift.1. Historical perspective: More like a platform shift than a simple technology upgradeIn Evans’ analytical framework, generative AI is not merely an incremental improvement in software functionality. Instead, it represent

Looking back at this AI boom, one shift is becoming clear: the market is no longer paying a premium for "talkative AI" alone.Whether it's copywriting, image generation, or more natural LLM interactions, these capabilities are rapidly being treated as baseline features. What truly drives valuation divergence is a more pragmatic question—whether AI can actually "get things done" and be embedded in the real world at scale.And in the U.S. stock market, few institutions have consistently stood at the intersection of technology and capital like Andreessen Horowitz (a16z). From cloud computing and mobile internet to this current AI cycle, a16z has always been early to see where the inflection point lies.a16z“ 2026In its newly released Big Ideas 2026 series, a16z doesn't dwell on "how smart AI is.

Source: This article is adapted from analysis shared by Jukan ✈️Semicon Japan (@jukan05) on X (Twitter), based on J.P. Morgan’s latest memory industry research.1. Market Cap Nearing $1 Trillion — Is the Rally Over?In its latest research report, J.P. Morgan $JPMorgan Chase(JPM)$ highlights that the combined market capitalization of leading global memory manufacturers is approaching $1 trillion. Based on historical valuation medians, JPM projects that this figure could expand to $1.5 trillion by 2027, implying over 50% upside potential from current levels for top-tier memory players.From an equity investor’s perspective, this framing is important: JPM is not merely forecasting earnings growth, but arguing that the entire valuation framework of the me

Over the past week, the United States has released a series of major signals in the AI field.    The White House launched a national AI initiative described as “the largest scientific mobilization since the Apollo Program.” Following the government’s collaborations with， $NVIDIA(NVDA)$ $Dell Technologies Inc.(DELL)$, $Hewlett Packard Enterprise(HPE)$ , and $Advanced Micro Devices(AMD)$ on next-generation supercomputers, AWS (Amazon Web Services) $Amazon.com(AMZN)$ also announced a US$50 billion investment in government cloud infrastructure. On the industry side, Elon Mus