ADI acquires Empower Semiconductor

ADI announced a $1.5B cash acquisition of Empower Semiconductor, known for IVR and VPD technologies. The deal aims to strengthen AI data center power solutions.

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🛡️ $ZEC Bouncing Off Lower Band Oversold Reversal! 🛡️

ZEC found strong demand at the lower band near $466 and bounced heavily, currently trading around $839.25.

Technical Setup: Rebound candle pushing past mid-band resistance ($794.35).

Target Zone: Momentum setting up a move toward the upper band around $923.

Outlook: Massive upside potential as momentum indicators reset and turn upward.

Target: 🎯 $888 $923

Stop Loss: 🛑 $790



#CLARITY Act expands bank crypto powers

#BTC rejected after weekend highs

#Aave restores WETH LTV ratios

#ADI acquires Empower Semiconductor

#VALR launches Hyperliquid-powered perps



$PEPE

$BWP

$QAIT

$AWE


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$GRAM

After consolidating along the bottom Bollinger Band near $1.377,$GRAM is showing signs of stabilization! Key support around the $1.37 $1.39 zone is holding firm as buyers step in to defend the channel.

📈 Next Targets to Watch:

1️⃣ $1.402 Middle Bollinger Band (20 MA) test

2️⃣ $1.428 Major structural resistance pivot

3️⃣ $1.522 $1.591 Full upper band breakout expansion



#Ethereum Foundation leadership reshuffle

#MetaMask adds tokenized assets

#Ethena integrates USDe into BlackRock's Aladdin

#ADI acquires Empower Semiconductor

#Cardano activates Van Rossem hard fork



$ALGO

$AVAX

$CYS

$ADA

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Congrats to @sendcutsend and @jimbelosic on their $110M raise at a $1B+ valuation, backed by Sequoia, Paradigm, and the Collison brothers. After bootstrapping consistent ~100% YoY growth and managing significant overtime to meet demand, this capital will support steady expansion: additional US facilities, improved lead times, and continued focus on quality American manufacturing. The company plans over $1B in long-term investment in domestic jobs and materials, plus $250M+ for facility growth. At Shenzhen Foundry, we view this as a strong example of complementary strengths in hardware manufacturing. We help AI and hardware teams accelerate from prototype through production and supply chain setup with efficient Shenzhen capabilities. Interested in scaling your project? Feel free to DM us.#Hardware #Manufacturing #Startups #foundry #shenzhen #Aihardware

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Fujikura Ltd. $5803.T has carved out a deep economic moat in the global telecommunications sector through its proprietary fiber optic cables that drastically reduce deployment times for hyperscale AI data centers. To meet surging demand, the company is aggressively rolling out a massive capital expenditure program to triple its manufacturing capacity across Japan and the United States. Despite explosive recent earnings growth, a conservative forward guidance report triggered a severe price correction, exposing the vulnerabilities of trading at an elevated forward price-to-earnings multiple. As global competitors scramble to introduce alternative high-density cabling solutions, will the company be able to successfully execute its expansion and maintain its technological monopoly to justify this premium valuation?

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If your portfolio doesn't have at least a few of these, we need to talk 👇 **The AI Murderers' Row (2026 Edition):** 🟢 $NVDA — Still the toll booth on the AI highway. Every model, every data center, every dollar. Resistance is futile. 🟢 $MSFT — Quietly embedded into every enterprise on Earth via Copilot. This isn't a bet on AI. It's a bet on gravity. 🟢 $META — Spent years getting laughed at for the metaverse. Now running some of the most advanced open-source AI on the planet and printing cash while doing it. 🟢 $GOOG — The most underrated AI company in the world. Owns the data, the models, the chips, AND the distribution. The market just hasn't caught up yet. 🟢 $AVGO — The dark horse. Custom AI chips for Google, Meta, and Apple. While everyone fights over $NVDA, Broadcom is getting paid by ALL of them. 🟢 $PLTR — The AI layer for governments and enterprises that can't just "move fast and break things." Defense, intelligence, Fortune 500. Sticky doesn't even cover it. 🟢 $APP — No one talks about this one enough. AppLovin is using AI to print money in mobile advertising and the stock has been one of the best performers of the entire AI era. And many more .. The AI trade isn't one stock. It's a food chain — and if you're not positioned across it, you're not investing in the future. You're just watching it.

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How a 24-Year-Old Made $5.5 Billion in One Year The market consensus has long been that betting on AI means betting on Nvidia. But 24-year-old German teenager Leopold Aschenbrenner @leopoldasch, who was fired from OpenAI, is now publicly challenging this belief with a $13.7 billion bet. Aschenbrenner was dismissed from OpenAI in 2024 over allegations of data leakage. In June of the same year, he published a 165-page paper titled “Situational Awareness: The Decade Ahead,” predicting the arrival of AGI by 2027. He then launched a fund named Situational Awareness LP, going long on AI chips, power infrastructure, and Bitcoin mining hardware—outperforming the S&P 500 with significant excess returns. Within a year, the fund’s assets under management grew from $225 million to $5.5 billion. The turning point came in the latest quarter. The Q1 2026 13F filing released on May 18 revealed an unprecedented move in the fund’s history: a massive short position in AI chip stocks. The fund’s total exposure expanded to $13.7 billion. On the short side, $8.46 billion in put notional value was deployed across the entire AI chip ecosystem: $1.6 billion on Nvidia, and $2 billion each on Broadcom, AMD, TSMC, Oracle, and the SMH semiconductor ETF. On the long side, he concentrated bets on upstream AI infrastructure: $934 million solely in Bloom Energy, plus positions in CleanSpark, Riot, Applied Digital, IREN, and CoreWeave—all focused on power generation, data centers, or Bitcoin mining hardware transitioning into AI compute. His core thesis in 2024 was this: Power has become the central constraint on AI supply. While most people think of chip limitations when considering AI bottlenecks, power may be the even bigger constraint. The story of selling shovels is over. The next story is about who powers the shovels. Watch the full video with @KayraMeow 👇📺

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🔥 The valuation ceiling for China’s hard tech companies is being systematically lifted. For a long time, the market’s valuation logic for Chinese tech companies was effectively suppressed. Many assumed: Chinese companies could handle manufacturing. Could do assembly. Could build applications. But truly high-valuation, high-premium core technology assets were assumed to belong exclusively to the U.S. As a result, there was once a very clear, invisible ceiling for Chinese hard tech companies: $50 billion. $100 billion. $200 billion. Beyond that, many investors would automatically question: “Is it really worth that much?” But now, this framework is being rewritten. Cambricon, in some ways, has for the first time made the market realize: Chinese AI chip companies can potentially reach a $500 billion valuation. The key isn’t just the stock price. It’s that the market is now willing to assign a higher premium to “China’s foundational tech capabilities.” Following that, Foxconn and InnoLight further shattered another barrier: China’s AI infrastructure supply chain can also produce trillion-dollar companies. Because in the AI supercycle, what’s truly valuable is no longer just models. It’s: Servers Optical modules High-speed interconnects HBM Advanced packaging Data centers The entire infrastructure ecosystem. Previously, the market always assumed: Chinese companies could only capture “mid-to-low-end manufacturing profits.” But in the AI era, a shift has emerged: With global compute demand exploding, many Chinese companies are now entering the core global supply chain. And the most noteworthy player right now? XMC. Because if Cambricon opened the door to “China’s AI chip valuation logic,” and Foxconn and InnoLight opened the door to “China’s AI infrastructure valuation logic,” then XMC may truly unlock: “China’s national-level valuation logic for advanced memory.” Why is this so important? Because memory isn’t just another component. HBM, DRAM, advanced memory has become one of the most critical strategic resources in the AI era. Future AI competition may no longer be about: Who has the GPUs. But rather: Who has sufficient memory bandwidth. As models grow larger, the primary bottlenecks to training efficiency are increasingly: Memory capacity Data throughput Bandwidth efficiency And globally, very few nations and companies truly master advanced memory. Therefore, if China successfully builds an independent, high-end memory system, it won’t just mean corporate profits. It will mean: The security of the entire nation’s AI infrastructure. That’s why, many now view XMC not merely as a single semiconductor company, but as a foundational piece of China’s AI-era compute landscape. Once the market accepts that China can also possess world-class advanced memory capabilities, the corresponding valuation framework will no longer be “manufacturing valuation.” It will increasingly resemble strategic technology asset valuation. Many have underestimated one thing: True bull markets are never just about rising stock prices. They’re about the market fundamentally redefining “what assets deserve long-term high valuations.” The real transformation in China’s hard tech sector may have only just begun. Which do you think has the greatest potential to produce a $5 trillion tech giant in China: AI chips, advanced memory, or AI infrastructure?

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Rare archival footage of China’s business titans in their early entrepreneurial days, featuring renowned figures such as Jack Ma, Zhang Yiming, Liu Qiangdong, Yu Minhong, Lei Jun, and Luo Yonghao. Many are unaware that Zhang Yiming initially ventured into several niche startup projects, experimenting with a wide range of ideas along the way— including funny memes, “Must-Watch Tonight” videos, Jinri Toutiao, Sharp Quotes, “Read Every Morning and Night,” Trendy Cars, and Fashionable Home Decor. Through continuous trial and error, he eventually found his direction and established a firm foothold.

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LEOPOLD’S FUND JUST MADE THE AI TRADE LOOK VERY DIFFERENT Situational Awareness filed a fresh 13F $13.68B reported across 42 holdings last quarter it was $5.52B The loud part is where he is betting against the chip trade SMH: $2.04B Nvidia: $1.57B Oracle: $1.07B Broadcom: $1.01B AMD: $969M Micron: $584M TSM: $535M ASML: $494M all listed as puts Then you get the names he actually wants exposure to Bloom Energy: $879M SanDisk: $724M CoreWeave: $556M IREN: $401M Core Scientific: $389M Applied Digital: $320M Riot: $142M CleanSpark: $104M Leopold got famous for the AGI trade His filing shows the AI trade is not just chips anymore The money is also going into power contracts, data centers, storage and miners Miners are suddenly back in the AI trade

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Warren Buffett manages $274.2 billion. Here's what he's betting on: - Apple at 22.6% - American Express at 20.5% - Bank of America at 10.4% - Coca-Cola at 10.2% - Chevron at 7.2%. Consumer brands. Financial services. Energy. The businesses that have dominated the last 50 years. Now look at what's missing. No Nvidia. No Microsoft. No Amazon. No Meta. No data center plays. No energy infrastructure tied to AI. Alphabet is in there at 2% which is the smallest named position on the chart. $274 billion with essentially zero exposure to the AI infrastructure buildout. That's not an oversight. That's a conscious choice from the most successful investor in history. Buffett has always said he only invests in businesses he can understand and predict 10 years out. He's been saying for years that he doesn't know how AI plays out competitively. So he's sitting it out. $334 billion in cash on top of this portfolio. Waiting. The contrast with Ackman couldn't be sharper. Ackman's $13.71B is loaded with Microsoft, Amazon, Meta which are concentrated bets on the businesses he thinks own the AI era. More on Ackman's portfolio below.

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