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

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

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

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

Everyone opens the latest 13F filings looking for the same thing: What did smart money buy? I think that misses the more interesting question. What if smart money itself cannot agree? 🤔 The latest Q2 2026 filings show exactly that. Across more than 6,000 institutional filings reviewed by Reuters, there was surprisingly little agreement about where the next big returns in technology will come from. Nearly 44% of institutions reduced exposure to the Magnificent Seven, while about 42% increased or initiated positions. That is almost a coin flip. For me, that might be more useful than any individual billionaire’s purchase. 🧠 Signal #1: The AI trade is splitting into different camps AI is no longer one trade. A year or two ago, the strategy could almost be simplified to: AI spending rises ➡️ ch

#[🎁Reward: Tech Stocks: Buy the Dip or Run for the Exit?] There is a strange assumption in markets that being bullish means you need to be fully invested. I don’t agree. I remain bullish on the long-term AI opportunity. I already have exposure through names including $NVIDIA(NVDA)$ and $Advanced Micro Devices(AMD)$, alongside broader positions such as $SPDR S&P 500 ETF Trust(SPY)$. But I am deliberately not fully invested yet. That is not because I think AI is dead. It is because I think keeping cash available is an investment decision too. 📉 A falling stock is not automatically a cheap stock This is the part I think gets lost during big corrections. When a stock drops 20%, 30% or even 40%, our brains immediately compare the new price with the old high. It looks cheap because it used t

$SUPER MICRO COMPUTER INC(SMCI)$   Super Micro Computer caught the market’s attention after releasing a preliminary fiscal fourth-quarter update featuring two extraordinary figures. The company estimated that gross margin would reach 15%–17%, dramatically above its previous guidance of 8.2%–8.4%. It also revealed that it received more than US$60 billion in new orders during the quarter, pushing backlog to record levels. However, expected revenue remained near the lower end of its US$11 billion–US$12.5 billion guidance range. Management also attributed the margin improvement primarily to a favourable customer and product mix. The market understandably celebrated the update. But I believe the most important question is no longer whether d

$Palantir Technologies Inc.(PLTR)$  Palantir has just delivered one of the strongest earnings reports I have seen "from a major software company! Wow. The company did not merely beat expectations. It nearly doubled revenue, accelerated both sides of its business, generated enormous free cash flow and raised its full year outlook by  roughly half a billion dollars. Shares jumped approximately 12–14% after hours, but one major question remains: Has Palantir finally grown into its premium valuation, or is the market once again getting carried away? 📊 The headline numbers Palantir reported: - Revenue: $1.94 billion, up 93% year over year - Adjusted earnings: $0.41 per share -  U.S. commercial revenue: $764 million, up 149% - U.S. g

$Amazon.com(AMZN)$ As we head in to the new month!! AWS growth has accelerated to its fastest pace in years, but Amazon’s free cash flow has turned negative. Is this the beginning of an AI payoff, or the most expensive growth cycle in company history? Amazon has just delivered one of the most important earnings reports of the artificial-intelligence investment cycle. The headline numbers were strong. Revenue exceeded expectations. AWS accelerated. Artificial-intelligence demand remained enormous. Amazon shares jumped after hours. However, underneath the earnings beat sits a much more complicated question. Amazon now expects to invest approximately US$220 billion in capital expenditure during 2026, up from its previous expectation of around US

Alright we've got a good one here before we head in to a new week!! Teslas caused some discussion hey!? Let's break it down. ————————————————— A 14.5% fall in Tesla is not an ordinary $Tesla Motors(TSLA)$  earnings reaction. It is the market questioning whether Tesla’s AI, Robotaxi and robotics future can arrive quickly enough to justify the enormous spending happening today. The strange part is that Tesla’s operating figures were not all bad. Tesla produced 451,758 vehicles, delivered 480,126 vehicles and deployed 13.5 GWh of energy-storage products during Q2. Deliveries were also well above the company-compiled analyst consensus of approximately 406,000 vehicles. So why did investors react so harshly? Because Tesla is no longer being v