About two years ago, I called Nvidia overvalued. Investors were clamoring over the stock, and it went on to become the most valuable company in the world. All along, my instinct has been to get wary when everyone is singing a stock’s praises and buying it hand over fist. That caution has saved me countless times from getting swept into the speculation. Staying out of the herd has been useful. A recent example: in December 2025, I sold platinum into the gold and precious-metals craze ther than buying it. I still remember the queues snaking outside the shops. That was the contrarian in me talking. And I think a lot of investors are running that same contrarian instinct on the memory stocks today. But here’s the thing. Two years on, Nvidia didn’t crash. It broke $5T and stayed the most valuab

Nvidia is the obvious example. It used to be a gaming company with a brief moment of fame during the crypto-mining boom. Cyclical at best. In 2022, revenue jumped 61% year on year; in 2023, it decelerated to just 0.2% growth. Then AI demand sent its revenue and profits, and the share price, to the sky. Revenue doubled in FY24 and again in FY25. Even in FY26 it grew 65% year on year, which is phenomenal at that size. That is what a business inflection point looks like. And this kind of sudden, fundamental change is exactly what most investors struggle to wrap their heads around. We’re talking about a real, significant leap in the business itself, not just the share price. Most investors are trained to analyze steadily growing companies and extrapolate historical trends. That’s why they keep

Tesla needs AI for autonomous driving, robotaxi dispatch, Optimus robots, manufacturing automation, and service diagnostics. SpaceX needs AI for rocket design simulation, Starlink routing optimisation, factory automation, and anomaly detection. Tesla’s Megapacks can support SpaceX launch sites, Starlink ground stations, xAI data centres, and high-power factory operations. This is already happening. SpaceX and xAI reportedly bought hundreds of millions of dollars of Tesla Megapacks in 2024–2026. This is one of the clearest synergies as SpaceX needs resilient power, while Tesla Energy needs large industrial customers. The common layer is compute, data centres, AI talent, chips, models, and internal tools. Reporting has also flagged collaborations involving Tesla’s voice assistant, chip facto

There are plenty of less obvious synergies if SpaceX and Tesla were one company. Data is one. Between them, they have access to many kinds of data Tesla vehicles generate mobility, road, and environment data like starlink provides connectivity and network-performance data and space X  has aerospace telemetry and operation data Their factories generate robotics and manufacturing data , this can improve AI systems for autonomy, logistics, network optimisation, and robotics Together, they can secure better supplier terms, priority access, and deeper supplier relationships. Talent. They can attract an elite engineering pool, and culture and talent can move across the system, between rockets, AI, robots, and energy. And imagine a disaster area where roads, power, and communications are all

So how do you identify sustainable growth? Buffett looks for businesses with durable competitive advantages—companies that competitors can't easily chip away at. If he doesn’t have a high degree of confidence that a company will be significantly larger in the future, he won’t buy—even if it looks cheap. Aside from the popular MOAT ETF, another ETF that reflects Buffett’s philosophy is the Dividend Aristocrats. These are companies that have raised dividends for at least 25 consecutive years. To do that, the  business must be growing steadily. But my issue with Dividend Aristocrats is that most of the companies grow slowly—usually in the single digits. Consistency is good, but consistent growth in the 10–15% range over decades is even better. That’s the sweet spot. Also, not all great g

Meta went public at US$38 per share, raising over US$16 billion. However, the social media giant’s honeymoon period didn’t last long, and the stock struggled almost immediately.By early September 2012, less than three months after listing, the stock price had declined to less than half its IPO price, at a low of US$17.55. If you bought US$10,000 worth of Meta stocks at the IPO price of US$38 per share, you would’ve secured around 263 shares. With the stock now trading at US$614.23 per share, that initial US$10,000 would be worth approximately US$161,500 today, just based on capital appreciation. Moreover, the tech giant declared its first dividend on 1 February 2024.With a current dividend yield of 0.34%, your cumulative dividend would amount to roughly US$1,216, bringing the total investm

TOTO is one of the top producers of electrostatic chucks used in NAND memory production. You guessed it. The boom in memory prices and shortages, driven by AI data centres stockpiling storage, has brought loads of business to TOTO. They don’t sell these to Samsung or SK Hynix directly. Instead, TOTO is reportedly a dominant supplier to Lam Research, whose cryogenic etching machines are then used by every major NAND maker including Samsung, SK Hynix, Micron, Kioxia, and YMTC, to carve channel holes through 200+ layer 3D NAND chips It comes down to ceramics. TOTO has been making advanced ceramic parts for over 40 years — and it turns out, those same ceramic capabilities translate into electrostatic chucks, the precision plates that hold silicon wafers in place during chip manufacturing. In o

Tencent’s first-quarter 2026 results show a company in transition. Its core business is still highly profitable and generates strong cash flow. At the same time, it is making an aggressive push into artificial intelligence. This pivot has yet to be proven. Tencent continues to position AI as its next major growth driver. But execution is still a work in progress. The launch of the Hy3 preview large language model is a sign of progress in its in-house capabilities. A revamped AI infrastructure supports this. Even so, Tencent trails its domestic peers. Alibaba Group and ByteDance are ahead. Global leaders like Microsoft and Alphabet are further ahead still, both in frontier model performance and ecosystem scale. Tencent’s hybrid approach uses both proprietary models and external partners lik

Modern GPUs can crunch numbers much faster than standard memory can feed them. If the data transfer rate is too slow, an incredibly expensive GPU sits idle, waiting for information. High Bandwidth Memory (HBM) solves this by stacking DRAM chips vertically and connecting them directly to the processor via a microscopic highway, delivering terabytes of data per second. Without HBM, scaling frontier AI models is physically and economically impossible. Memory is the bottleneck in AI right now. As AI models have grown exponentially—moving from training to continuous, high-context inference and multi-step agentic reasoning—the constraint has shifted from processing data (compute) to moving data (memory bandwidth). And supply is short. Producing HBM requires roughly three times the wafer capacity

SanDisk (SNDK) tops the S&P 500 for the highest return in 2026 YTD. The stock was already the best performer in 2025, and it has continued this year. We’re only four months in, and it’s already more than tripled. SanDisk was a spinoff from Western Digital just last year. It was loss-making initially, but Q3 FY2026 saw net profits soar to $3.6 billion. Revenue was up 251% year-on-year. From zero to hero, quite literally. Western Digital reported 45% revenue growth year-on-year. But what’s more impressive is that its gross margin expanded 10 percentage points—from 40.1% in Q3 FY2025 to 50.5% in Q3 FY2026. That’s a sign WDC is raising prices as it sells more storage. Supply shortages are driving up prices, and these companies are the direct beneficiaries. Finally with AI, cloud growth exp

i start with  AI, cloud growth exploded. Q1 2026 year-on-year revenue growth nearly doubled to 63%. Gemini Enterprise—the stickier corporate customers—grew 40% quarter-on-quarter. That’s more than 200% annualized. Another proof point of surging AI demand: token usage grew 60% QoQ, or 555% annualized. As for Amazon and Microsoft, both saw strong cloud growth too—albeit slower than Google Cloud’s rate, though off a larger revenue base. AWS and Azure reported 28% and 40% year-on-year growth respectively And the AI CAPEX isn’t slowing down—it’s accelerating. The initial $600 billion industry projection has now been revised upward to $700 billion by 2027. AI remains firmly in the spotlight—and even as estimates and expectations have risen, many AI-related stocks managed to surpass them. Th

$Wheaton Precious Metals(WPM)$ 

During the Iran War, the USD actually strengthened. At least two reasons for that. First, oil couldn’t flow out of the Middle East due to the closure of the Strait of Hormuz. Oil prices shot up. Oil is settled in USD—hence the term PetroDollars. Countries suddenly needed more dollars to buy the same amount of oil. The demand for USD went up, strengthening the Dollar. Second, higher oil prices created inflationary pressure. The Fed was unlikely to cut interest rates as aggressively as initially expected. With higher rates on the Dollar, it attracted more demand for USD deposits and bonds—strengthening the USD once more. In the short term, it’s more likely the Iran War is coming to an end, even though there’s still plenty of politicking online between the US and Iran. Oil prices are expected

Gold should not be seen as a standalone asset. On its own, it has no intrinsic value—and naysayers have been banging on this point for years, saying it doesn’t produce cashflow and therefore can’t be valued. Gold’s value is driven by a myriad of factors. The earliest is that it’s perceived as a store of value—and that perception has lasted until today. In other words, gold has value as long as society believes it has value. Otherwise, we could have used anything. Here’s what matters more: gold’s value is relative to alternative stores of value. And in today’s context, the US Dollar is the single most important currency—a store of value and a medium of exchange. That’s why gold prices tend to have an inverse relationship with the USD. If the USD weakens, gold rises. And vice versa. To me, t

AI has been a buzzword for years, but it isn’t a bubble. While some overcapacity is possible in the short term, the long-term growth of AI is just beginning. If your investment horizon is 10 years or more — and you're interested in tech — this is a theme you can't afford to miss. But pause and flip that around — why are even the smartest minds in the world unanimously convinced that AI is going to dominate the next wave of technological progress, and do it faster than anything we've seen before? Finally You must be thinking: how many AI-related headlines do we need to see each day? With the new technology enabling AI becoming more and more common in everyday lives 

Leadership in tech constantly shifts, usually once every decade. It’s important to recognize that today’s tech giants may not remain on top tomorrow. The Magnificent 7 feel unstoppable now — but so did IBM, Nokia, and Cisco in their heydays. Each era had its acronym: FANG, FAANG, and now the Magnificent 7. It changes because markets are always recalibrating who the real leaders are. That’s why investing in tech isn’t about blindly buying today’s winners. It requires you to forecast who will actually benefit from the next shift — and avoid those working against it. That’s not easy. Even though some tech stocks have delivered massive gains, there’s a strong survivorship bias — for every success, many others fade into irrelevance. Look at Alphabet. Despite growing revenue, its stock is down 3

Latest skepticism around US/Iran peace talks and de-escalation weighing on stocks, pushing oil higher again and earlier pushed index back above 20. Weakness comes amid more headline noise around the war (Iranian leadership uncertainty, latest Trump threats around Strait of Hormuz, reports of Iran deploying more mines in strati, Iran's attacks on regional shipping). Market continues to mostly ignore headline chop, continues to focus on ultimate progress toward ceasefire. Some other areas of focus include more evidence of resilient macro backdrop (flash PMI beats), more challenging setup after latest rally back  potential pension month-end selling (record $25B, according to GS), mixed takeaways around latest batch of earnings, optimism into Big Tech results next week (capex remains big

Latest updates reversed earlier optimism around another round of talks between US and Iran (and investors wanting to be done with geopolitics).  Big tech mostly lower, though semis, software fared better. Laggards included A&D (NOC-US, GE-US, RTX-US), cruise lines, airlines, payments, exchanges, apparel retail, pharma, and China tech. Outperformers included energy, managed care (UNH-US), homebuilders (DHI-US), PE, networking/IT equipment, memory, and discounters/staples retailers. Stocks down, yields up, oil up after latest doubts around Iran de-escalation with report VP Vance called off trip to Pakistan for second round of talks with Tehran.Tech in the headlines with AAPL-US CEO transition and the enhanced partnership between AMZN-US amazon stock and Anthropic ($25B investment in

For cybersecurity stocks Some will survive and even grow, albeit at a slower pace. But we’re interested in those stocks that are more likely to prosper in the age of AI. We found two of them—and one isn’t even an outright cybersecurity stock. It’s a hidden play. But before we dive into these two, let’s understand how the key cybersecurity players operate and how relevant they are in the AI era. We may have made it sound bad. But as with AI’s impact on software, not all software companies should be treated the same way—some are more likely to survive and some will adapt and stay relevant. To be fair, in this AI era, if a company is merely surviving, it shouldn’t be commanding a growth valuation anymore. Their share prices falling becomes deserving. In a way, it looks bad on the cyber compan