Gold gets the headlines, but copper may be the more interesting industrial metal to watch. Why? Copper is essential for power grids, construction, electric vehicles, renewable energy and broader electrification. The problem is supply. New copper mines can take years to develop, while existing mines face declining grades, permitting challenges and rising development costs. That creates an interesting imbalance: 📈 Electricity demand → rising 🏗️ Grid investment → rising 🚗 Electrification → growing ⛏️ New mine supply → difficult to bring online quickly That’s why some investors see copper as a potential structural supply-demand story, rather than simply another commodity trade. But there is a catch. Copper is also highly sensitive to the global economy. If China or the US slows sharply, indust

$Meta Platforms, Inc.(META)$  new Muse personal agent isn’t even three weeks old, yet $META has surged roughly 27% during that period. That’s a huge move. Muse could become an important product if Meta can turn it into a genuinely useful personal AI assistant — particularly given Meta’s enormous user base across Instagram, WhatsApp, Facebook and its growing hardware ecosystem. But there’s a bigger question for investors: Has anything fundamentally changed in Meta’s financial picture? Not necessarily. Meta continues to make enormous investments in AI infrastructure, data centres and product development. Those commitments can weigh on profitability and free cash flow in the near term, even if they potentially create a much larger opportuni

While investors are chasing tech momentum, I’m watching something much more boring — consumer staples. $Pepsi(PEP)$  has the kind of business that tends to get attention when markets become more uncertain: drinks, snacks and brands people buy regardless of what the Nasdaq is doing. And the macro backdrop is becoming interesting. Oil remains above $100 a barrel and the 10-year Treasury yield has moved above 5%, while investors are increasingly watching inflation and the possibility of another Fed rate hike.  That creates a very different setup from high-growth tech. 🥤 Why PEP is on my watchlist: • Global portfolio of established consumer brands • Recurring demand rather than discretionary big-ticket purchases • Potential defensive appeal

Everyone is watching the mega-cap AI names. I’m looking somewhere slightly different. $Akamai(AKAM)$   surged after announcing an $11.6 billion cloud services deal with Anthropic. Reuters reported the stock jumped as much as 21% in early trading on September 25.  But the interesting part of the story isn’t simply the headline deal. Akamai sits underneath the internet — helping businesses with cloud computing, content delivery and cybersecurity. That gives investors exposure to the growth in digital infrastructure without needing to pick the next winning AI model. 💡 Why I’m watching $Akamai(AKAM)$   🔹 A major multi-year cloud commitment can improve revenue visibility 🔹 Akamai

Google is about to take one of the strangest steps yet in the AI race. Next week, Alphabet’s $Alphabet(GOOGL)$   Google plans to send its Tensor Processing Units into orbit as part of Project Suncatcher, an experiment exploring whether AI computing could eventually move into space. The prototype is scheduled to fly on SpaceX’s Transporter-18 rideshare mission.  And no — Google isn’t putting a giant data centre in space just yet. This first mission is basically a reality check. Can AI chips survive radiation? Can they handle extreme temperatures? Can they be cooled in a vacuum? Can satellites eventually communicate fast enough to work together? Those are some of the questions Google wants to answer.  The bigger idea is fascinating

Three American business icons. Three leadership transitions. Three very different succession stories. 🍎 Apple — John Ternus Ternus officially became CEO on September 1, succeeding Tim Cook. He comes from Apple’s hardware engineering organisation, so the big question is whether Apple can keep its product momentum while navigating the next phase of AI and devices.  🏦 Berkshire Hathaway — Greg Abel This is arguably the biggest succession test of all. Warren Buffett is now chairman emeritus, while Greg Abel runs Berkshire. Buffett has said Abel has already been making the key decisions for some time.  🛒 Walmart — John Furner Furner took over from Doug McMillon after spending decades inside Walmart. He previously ran Walmart U.S. and has experience across stores, merchandising, digital and su

CrowdStrike — The AI Trade Nobody Talks About? Everyone is watching chips, data centres and AI infrastructure. But there’s another part of the AI boom that could become increasingly important: 🛡️ Cybersecurity. $CRWD has been one of the standout names in the recent cybersecurity rotation, with the sector attracting fresh attention as AI creates new security risks — from automated attacks to increasingly sophisticated threats.  The interesting part is that AI isn’t just creating demand for more computing power. It could also create demand for more protection. As companies deploy AI agents, cloud workloads and increasingly automated systems, the potential attack surface grows. That creates a potentially durable spending theme for cybersecurity companies. But CRWD isn’t a simple “AI winner.”

I’d lean C — somewhere in between. The power and data-centre capacity story makes sense, but the key test is execution. Contracted capacity is interesting; actually bringing that capacity online, on time and at the expected economics, is what could validate the thesis. 👀

I’d go with C — tech and semiconductors staying strong. If the leaders keep holding up and participation broadens, that would look more convincing than a rally driven purely by falling yields. 👀

$INTC is interesting again. Intel has spent years trying to prove it can become more than a legacy chip company. Now the market is watching whether its manufacturing strategy can actually translate into a stronger business. What makes the story interesting is that Intel doesn’t need to beat Nvidia at its own game. The bigger opportunity could be foundry + manufacturing. If Intel can successfully produce advanced chips for outside customers, it could create a second growth engine alongside its traditional CPU business. That would make the investment case less dependent on PC demand and more about whether Intel can become a serious alternative in advanced semiconductor manufacturing. And the market is already paying attention. Intel recently became one of the most actively traded large-cap n

Meta has spent years turning attention into advertising revenue. Now it may be testing something different: Getting paid when AI actually completes the transaction. That’s what makes the Muse story interesting to me. Imagine asking an AI: “Find me the cheapest flight next weekend.” Instead of sending you ten links and leaving you to do the work, Muse could search, compare and eventually book it for you. If Meta takes a fee when that transaction happens, the business model starts looking very different. And the opportunity could extend well beyond travel. 🛒 Shopping ✈️ Travel 🍔 Food delivery 💳 Payments 🎟️ Tickets The interesting part for $META is that it already has something many AI competitors don’t have at the same scale: billions of people already using its apps. The challenge is gettin

🔥 The AI Shopping Battle Isn’t About Search Anymore Meta’s Muse announcement got me thinking about something bigger than another AI feature. What happens when we stop searching and shopping ourselves? Today, if I want a flight, I might Google it, compare a few sites, check Expedia and then book. If I want groceries, I open an app, build a cart and hit checkout. But an AI agent could eventually do most of that for me. I could simply say: “Find me the cheapest flight that gets me there before 6pm.” Muse does the searching, compares the options and potentially completes the transaction. That changes the game. The interesting part isn’t just Meta potentially taking a transaction fee. It’s who owns the customer relationship. If the AI agent becomes the layer between me and the retailer, the ret

$Micron Technology(MU)$  is reporting next week, but I’m not just watching the headline numbers. The bigger question is whether the memory cycle itself still has room to run. $SanDisk Corp.(SNDK)$ , $SK hynix(SKHY)$   and $Micron Technology(MU)$  have all pulled back after a huge run. That doesn’t necessarily mean the memory story is breaking. Sometimes the market simply gets ahead of the fundamentals. What makes this cycle different is the demand coming from AI infrastructure. HBM is becoming increasingly important for high-end AI accelerators, while conventional DRAM and NAND are als

Everyone is talking about the 10-year Treasury hitting 5.11%. But I think the more interesting part is what happened after the Treasury stepped in to buy bonds. You would normally expect extra demand to help push prices higher and yields lower. Instead, yields kept climbing. That raises a different question: Is the bond market telling us something that the stock market hasn’t fully priced in yet? Maybe investors are simply demanding more yield to hold long-term debt. Maybe expectations for inflation and growth have changed. Or maybe the market is starting to worry about the sheer amount of debt that needs to be absorbed. Whatever the reason, this isn’t just a bond-market story. Higher long-term yields affect mortgages, corporate borrowing, valuations and the cost of capital across the econ

The most interesting part of the memory rally isn’t Tuesday’s gains. It’s what the order books are starting to say. SanDisk jumped 6.82%, Micron gained 5%, and SK Hynix rose 3.45%. Rosenblatt’s new SanDisk coverage highlighted customer agreements covering roughly 65% of fiscal 2028 production — a very different setup from the classic memory cycle where companies build capacity first and hope demand follows.  That creates an unusual question: If so much future capacity is already spoken for, is the market still pricing memory like a commodity cycle? There are two ways to look at it. 📈 The bull case: Long-term commitments give manufacturers better visibility and reduce the risk of aggressive inventory swings. AI infrastructure is also creating demand for both HBM and high-performance NAND,

$Meta Platforms, Inc.(META)$  slipped 0.63% to $736.60 on Tuesday after jumping 11.43% the previous session. At first glance, that looks like simple profit-taking ahead of Meta Connect. But there’s a more interesting story underneath. Muse is becoming the centre of the conversation — yet some of the biggest stock moves are happening in the companies connecting to it. Muse has reportedly climbed to the top of the U.S. mobile download charts, while Shopify jumped more than 7% after integrating its Shop Pay checkout with Muse. Shopify had gained almost 15% across the two sessions.  That creates an interesting investment question: 🧩 Is Muse an app — or a platform? If consumers start using Muse to search, shop, book and complete tasks, the v

The funding removes a lot of financing uncertainty, but now investors have to weigh more shares against the growth Iridium could bring. The key question is whether the market has already priced that trade-off in. 👀

Interesting setup for $INTC and $ARM. I’d be watching for more firm orders and longer-term commitments to see whether the strong CPU demand is translating into sustained growth. If that starts showing up, it could make the story even more interesting. 👀

The real question for $MU on Sept 30 isn’t just whether Micron beats — it’s whether management can prove the memory pricing cycle has become structural. If margins stay elevated, HBM demand remains tight and FY2027 pricing holds up, the trade may no longer need another price spike to work. 👀

Forget the chipmakers for a moment. Today, $Accenture PLC(ACN)$ gives investors another way to look at the AI boom: are companies actually spending money to put AI into their businesses? ACN reports earnings before the U.S. market opens today. And the numbers I’d watch go beyond revenue and EPS. 💰 1. AI demand Accenture sits closer to the implementation side of the AI cycle. Companies can talk about AI all day — but eventually they need consultants, software integration, cloud migration and people to actually deploy it. That makes ACN an interesting read-through for enterprise technology spending. 📊 2. New bookings This could be more important than the headline earnings number. Strong bookings would suggest companies are still committing budge