Memory stocks are surging while the broader market struggles. The obvious explanation is simple: AI demand is strong. HBM is scarce. Memory prices are rising. Micron, SK Hynix and Samsung benefit. I think that explanation stops one level too early. Because something much larger is happening underneath the memory rally. AI data centres are not simply creating another source of semiconductor demand. They are competing with the rest of the technology industry for a limited manufacturing resource. And increasingly, the rest of technology is losing. The result could change much more than memory-company earnings. It could change how much laptops cost. How much RAM goes into smartphones. Which consumer brands survive. How quickly people replace devices. Whether affordable phones can run AI locall
Adz5150
Small retail investor. Big curiosity. Stocks, AI & semis. Full-time Tiger Trade tragic 🐯🚀
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Love this, it’s my pleasure to fire away with my opinion each week. As wild as they can be ;)
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🚨 WALL STREET JUST SOLD THE AI STACK. BUT WHAT IF IT SOLD THE WRONG PART?
Something changed in the AI trade. And I don’t think the most interesting part is the selloff. It’s what the market assumed the selloff meant. Anthropic CEO Dario Amodei has called for slowing the pace of frontiear AI capability development as safety concerns intensify. Sam Altman agreed that the frontier needs to be paced. Elon Musk backed the warning. Wall Street heard one thing: SLOWER AI = LESS AI INFRASTRUCTURE. And investors hit the hardware stack. The Philadelphia Semiconductor Index fell roughly 6%. $NVDA fell about 3.5%. $AMD fell about 5.6%. $MU fell about 6.7%. Semiconductor equipment names were smashed too, with Lam Research and Applied Materials falling roughly 8% and 7% respectively. AI infrastructure names weren’t spared either. But here’s the question I can’t get past: WHAT
🚨 WALL STREET JUST SOLD THE AI STACK. BUT WHAT IF IT SOLD THE WRONG PART?
🚨 AUSTRALIA’S NEXT RESOURCE BOOM MAY NOT LEAVE ON A SHIP. IT MAY LEAVE THROUGH A FIBRE CABLE.
🇦🇺 🇦🇺 AUSSIE INCOMING 🇦🇺 🇦🇺 Australia has spent generations exporting resources. Iron ore. Coal. LNG. Gold. We extract them, process them, put them on ships and sell them to the world. But NVIDIA’s latest Australian AI infrastructure announcement made me wonder whether the next Australian resource boom could work very differently. Because this time, the resource may never physically leave the country. It might leave as compute. NVIDIA has announced it is working with Firmus, Sharon AI, IREN, Megaport, ResetData, CDC, NEXTDC and AirTrunk on up to 2 GW of Australian AI-factory infrastructure by 2027. That is a huge number. Australia’s current data-centre capacity is estimated at roughly 1.6 GW, meaning the planned NVIDIA ecosystem buildout alone could be comparable with the country’s e
🚨 AUSTRALIA’S NEXT RESOURCE BOOM MAY NOT LEAVE ON A SHIP. IT MAY LEAVE THROUGH A FIBRE CABLE.
🚨 THE AI ARMS RACE IS TURNING CUSTOMERS INTO SHAREHOLDERS
For most of corporate history, the relationship between a customer and a supplier was relatively simple. One company made something. Another company bought it. Money went one way. Products went the other. Artificial intelligence may be changing that relationship. Because some of the largest technology companies on Earth are no longer simply buying AI infrastructure. They are increasingly taking economic stakes in the companies building it. Amazon has just entered a multi-generation AI infrastructure partnership with Qualcomm. The headline number is enormous. Amazon could purchase up to US$60 billion of Qualcomm AI data-centre chips and related products under the agreement. But the part that interests me more is buried underneath. Qualcomm has also granted Amazon warrants worth approximatel
🚨 THE AI ARMS RACE IS TURNING CUSTOMERS INTO SHAREHOLDERS
🚨 AI IS EATING THE WORLD’S MEMORY. YOUR NEXT PHONE MAY PAY THE BILL.
🚨 AI IS EATING THE WORLD’S MEMORY. YOUR NEXT PHONE MAY PAY THE BILL.
🚨 THE AI TRADE DIDN’T DIE. IT MOVED TO MEMORY.
Friday gave us one of those market sessions that looks strange until you ask a different question. The major US indexes fell. Treasury yields rose after August payrolls came in far stronger than expected. Rate-hike expectations increased. Growth stocks should have hated that setup. Yet one corner of the market went in completely the opposite direction. Memory and storage exploded higher. SanDisk jumped around 12%. Micron gained 6.1%. Western Digital rose nearly 6%. Seagate also rallied. The semiconductor index climbed more than 3% despite weakness across the broader market. Then Asia opened and the move continued. SK Hynix surged roughly 8%. Samsung Electronics climbed nearly 6%. South Korea’s Kospi jumped 4.6%. At first glance, this looks like another AI rally. I think something more inte
🚨 THE AI TRADE DIDN’T DIE. IT MOVED TO MEMORY.
Koolgal with the goods as always 🤲
@koolgal:$SS SPDR STI ETF(ES3.SI)$ 🌟🌟🌟 I invest in STI ETF because it represents the bedrock of Singapore's economy. I am investing in banks that safeguard our life savings, the telecommunications that keep us connected to our loved ones and the real estate giants that shape the skyline we call home. The consistent dividend payout feels like a quiet Thank You for my patience. It is a reminder that compounding wealth is a marathon, not a sprint. @Tiger_SG @TigerStars @Tiger_comments
🚨 AI BOUGHT THE GPUs. NOW IT HAS TO CONNECT THE DAMN THINGS.
When investors think about artificial intelligence infrastructure, the conversation usually starts with one object: The GPU. NVIDIA. AMD. Custom accelerators. More compute. More chips. More data centres. But there’s a problem. You can build the most powerful AI accelerator on Earth and it becomes dramatically less useful if data cannot move between thousands of accelerators quickly enough. That is why I think one of the next major AI infrastructure battles will not simply be about computing data. It will be about: MOVING IT. And suddenly Corning becomes much more interesting. 🧠 AI’S BOTTLENECK KEEPS MOVING Every technology boom creates bottlenecks. First, AI needed GPUs. Then it needed enough electricity to power them. Then investors started focusing on networking, memory and cooling. Now
🚨 AI BOUGHT THE GPUs. NOW IT HAS TO CONNECT THE DAMN THINGS.
🚨 45 CYBERCABS DO NOT JUSTIFY $1.4 TRILLION. BUT THAT MAY BE THE WRONG QUESTION.
Tesla finally put the purpose-built Cybercab onto public roads. No steering wheel. No pedals. No driver. And, according to Texas records, only 45 Cybercabs are currently registered in the state. For a company worth around US$1.4 trillion, that number sounds almost ridiculous. 45 cars? Is this really the robotaxi revolution investors have been waiting years for? I think that is the wrong question. Because Tesla’s Cybercab thesis will not ultimately be decided by how many gold cars were parked in Austin during launch week. It will be decided by something much less exciting: Unit economics. 🚕 45 CARS ARE A TEST. NOT A BUSINESS. Tesla’s Texas autonomous fleet contains hundreds of vehicles, but only 45 are currently purpose-built Cybercabs. The company has also begun asking businesses whether t
🚨 45 CYBERCABS DO NOT JUSTIFY $1.4 TRILLION. BUT THAT MAY BE THE WRONG QUESTION.
🔥 BROADCOM GREW AI REVENUE 221%. WALL STREET STILL SAID “NOT ENOUGH.”
There was a time when reporting 221% growth in AI revenue would have been enough to send almost any semiconductor stock flying. Broadcom just did exactly that. The stock fell anyway. And I think that tells us something much bigger about where the AI trade has reached. Broadcom didn’t report a weak quarter. It reported: 📈 Q3 revenue: US$29.6B, +86% YoY 🤖 AI semiconductor revenue: US$16.7B, +221% YoY 💰 Non-GAAP EPS: US$3.32, +96% YoY 💵 Free cash flow: US$13.7B 🚀 Q4 AI revenue guidance: US$21.7B, +236% YoY Broadcom also expects AI semiconductor revenue to reach approximately US$115B in FY2027 and potentially US$230B in FY2028. Read those numbers again. Then ask yourself: What exactly does an AI company have to do now to impress Wall Street? Because I don’t think Broadcom’s biggest problem is
🔥 BROADCOM GREW AI REVENUE 221%. WALL STREET STILL SAID “NOT ENOUGH.”
🚨 BROADCOM’S $29 BILLION AI TEST: DOES NVIDIA HAVE TO LOSE FOR AVGO TO WIN?
For the last few years, the AI semiconductor story has been remarkably simple. AI spending goes up. Demand for GPUs explodes. Nvidia wins. But Broadcom’s upcoming earnings could test whether the next phase of the AI boom is becoming much more complicated. Broadcom reports fiscal Q3 earnings on September 2, and expectations are enormous. Wall Street is looking for roughly $29.4 billion in revenue and $3.24 in adjusted EPS. But those headline numbers are not what interests me most. Broadcom has already guided for approximately $16 billion in AI semiconductor revenue, representing growth of more than 200% year over year. That raises a much bigger question: Does Nvidia actually need to lose for Broadcom to become one of the biggest winners of the AI infrastructure boom? I don’t think it does.
🚨 BROADCOM’S $29 BILLION AI TEST: DOES NVIDIA HAVE TO LOSE FOR AVGO TO WIN?
🚨 AI HARDWARE JUST CRACKED. IS THE AI TRADE SPLITTING IN TWO?
Something interesting happened across the AI trade this week. AI demand didn’t suddenly disappear. Data-centre spending didn’t collapse. The long-term AI story didn’t magically break overnight. Yet several AI hardware names were punished despite reporting numbers that, on the surface, looked strong. That tells me the market may be entering a different phase of the AI cycle. The question is no longer simply: “Is AI growing?” We already know the answer to that. The more important question might now be: “Which companies can grow fast enough to justify what investors are already paying for that growth?” And that distinction could become extremely important heading into September. 💥 MARVELL SHOWED US THE PROBLEM $MRVL is probably one of the clearest examples. Marvell delivered strong quarterly
🚨 AI HARDWARE JUST CRACKED. IS THE AI TRADE SPLITTING IN TWO?
🏆 AUGUST TAUGHT ME SOMETHING MORE IMPORTANT THAN PICKING THE RIGHT STOCK
If I judged August purely by my portfolio, it would be a pretty strange month to review. My positions were small. Some were short-lived. There were buys, sells, changes of plan and at least one period where I bought $BE and then watched it fluctuate like it had taken my purchase personally. 😂 But the biggest reason my portfolio looked the way it did had very little to do with the market. Real life happened. I needed access to money for personal circumstances, which meant selling investments earlier than I might otherwise have chosen. At first, that felt frustrating. We spend so much time talking about finding great companies, building conviction and holding for the long term. But August taught me something I think is just as important: Your investment strategy has to survive your real life
🏆 AUGUST TAUGHT ME SOMETHING MORE IMPORTANT THAN PICKING THE RIGHT STOCK
🚨 NVIDIA’S $5.2 TRILLION TEST: CAN THE AI KING STILL SHOCK WALL STREET?
Part 2 And basically a continuation from my bother NVIDIA post earlier this year on my thoughts. NVIDIA reports fiscal Q2 earnings on Wednesday, August 26. Normally that sentence alone would be enough to get attention. But this time the setup is ridiculous. NVIDIA is sitting around a US$5.2 trillion market cap. The stock closed Friday at US$214.72. Wall Street is expecting roughly US$92 billion in quarterly revenue and around US$2.09 adjusted EPS. That would be another extraordinary quarter for a company that is already the largest public company on the planet. And that is exactly where the problem begins. For NVIDIA now, being excellent may no longer be enough. 📊 THE NUMBERS ARE ALREADY INSANE Last quarter, NVIDIA generated US$81.6 billion in revenue, up 85% year on year. Data Center
🚨 NVIDIA’S $5.2 TRILLION TEST: CAN THE AI KING STILL SHOCK WALL STREET?
🔥 The S&P 500 Is Near Record Highs. TWO Dates Have to Earn My Next Dollar.
The S&P 500 closed Friday at 7,785.76 after touching a record 7,816.70 during the week. We are basically sitting on the roof of the market. And right now my feed seems split into two camps. 🐂 Camp one: Buy the breakout. Don’t overthink it. New highs lead to new highs. 🐻 Camp two: Take profit immediately. Stocks are expensive. A correction has to be coming. I’m doing neither. I’m already invested, so I’m not running for the exit. But I’m also not throwing fresh money at record highs just because the chart is green. The market still has to earn my next dollar. And for me, that comes down to two dates. 📅 August 19: FOMC Minutes 📅 August 26: NVIDIA Earnings One tests the price investors are willing to pay for growth. The other tests whether the growth itself is still strong enough to deser
🔥 The S&P 500 Is Near Record Highs. TWO Dates Have to Earn My Next Dollar.
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@PawsAndProfits:Is this period the best ever for the market? Or is it a false positive?
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@TigerObserver:🪙 Tech Lit Up: NFLX, ADBE, CRM, MU & INTC All Jumped — One Macro Tailwind, Five Different Catalysts
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@DoTrading:NEW RECORD FOR THE S&P 500 — BUT THE REAL STORY IS INFLATION
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