To The Moon

The Maturity Wall Nobody Wants to Price Most investors analyse Strategy through the lens of Bitcoin. They debate adoption curves, treasury accumulation and where the cryptocurrency might trade next year. I increasingly think that misses the more interesting question. The real investment debate is not whether Bitcoin rises or falls. It is whether Strategy’s capital structure can continue functioning if capital markets become less accommodating. Strategy has evolved into something unique: a company whose future is increasingly determined by liability management rather than software growth. The market remains obsessed with the asset side of the balance sheet. I am far more interested in the liabilities. The premium powers more than most investors realise That is where the next major investmen

For most of its history, Adobe has enjoyed one of the software industry's simplest and most profitable economic models: sell creative seats to designers, marketers, photographers and enterprises, then collect recurring subscription revenue. Investors understood it, loved it, and rewarded it accordingly. Today, however, I think the market is analysing Adobe as though that model remains intact. The numbers suggest otherwise. What I see is a company attempting a far more ambitious transformation—one that could ultimately make Creative Cloud subscriptions look like a relatively small piece of a much larger content-production ecosystem. The irony is that Adobe's share price collapse may be obscuring the very opportunity management is trying to create. Investors see software. Adobe may be buildi

More Than A Fancy Filing Cabinet The market keeps asking whether Snowflake can defend its data warehouse. I think that's a bit like valuing an airport by its baggage claim. The real battle is taking place elsewhere. Snowflake is attempting one of the most ambitious transitions in enterprise software: evolving from a platform that stores information into a platform where autonomous software agents execute work. If management succeeds, the company's future will be determined less by how much data customers store and more by how many decisions, workflows and business processes run through its ecosystem. That distinction matters because storage is steadily becoming commoditised. Execution is not. This is why I believe the most important investment question facing Snowflake today is no longer d

The AI boom has created a peculiar obsession on Wall Street. Investors spend endless hours discussing GPUs, model sizes and computing power, while largely ignoring a more mundane question: where does all this data actually live? The market seems convinced that AI's future will be determined by who owns the fastest chips. I am beginning to suspect the bigger opportunity may belong to those who own the cheapest and most scalable memory. After all, intelligence is only useful if you can remember it. That brings me to Western Digital. While many investors still view WDC as a cyclical storage manufacturer, I increasingly see a company sitting at the centre of one of AI's most overlooked infrastructure challenges. The world is producing data at an astonishing rate, and AI is accelerating that tr

The Wrong War Wall Street has become obsessed with a single question: can Qualcomm crack the PC market and take meaningful share from Intel and AMD? It is an understandable debate. Qualcomm's Snapdragon X Elite platform and Oryon CPU architecture have finally given the company a credible shot at breaking into a market that has historically treated ARM chips like an uninvited guest at a family barbecue. Yet I think investors are fighting the wrong war. The real question is not whether Qualcomm becomes the king of AI PCs. It is whether Qualcomm can position itself to benefit every time another AI-capable device joins the global network. That may sound less exciting than a silicon showdown, but history suggests the companies that own the roads often make more money than the companies racing o

The Retailer That Thinks It’s Software The most interesting battle on Wall Street today is not being fought over artificial intelligence, semiconductors, or cloud infrastructure. It is being fought over dog food. Chewy has become the centre of a surprisingly fierce ideological divide. One camp sees a mature online pet retailer trapped in a slowing consumer environment. The other sees a company that has quietly completed a multi-year transformation into a highly automated, subscription-driven platform whose economics are only now becoming visible. What fascinates me is that both sides are looking at the same company and arriving at completely different conclusions. The market narrative remains stubbornly anchored to customer growth. Yet I believe the more important story is unfolding beneat

Why HOOD Is Becoming the Infrastructure Play Nobody Saw Coming For years, Robinhood was treated as Wall Street's favourite cautionary tale. It was the app associated with meme stocks, pandemic speculation and retail traders who occasionally confused investing with competitive gambling. Yet when I look at Robinhood today, I see a very different company emerging. The market still largely values HOOD as a brokerage platform dependent on retail trading activity. I believe that view may be increasingly outdated. The more interesting question is whether $Robinhood(HOOD)$ is quietly transforming into something far more valuable: a financial infrastructure platform that earns money whenever capital moves, regardless of whether that capital is controlled b

When the Algorithm Becomes the Product While much of Wall Street remains fixated on AI chips, data centres and semiconductor winners, I believe one of the more interesting battles is taking place much further up the technology stack. AppLovin built its success helping mobile app developers acquire users more efficiently. Through its AXON recommendation engine, it is now attempting something far more ambitious: becoming a critical layer of customer acquisition infrastructure for businesses worldwide. That distinction matters. After all, software companies come and go. Infrastructure businesses tend to stick around like that one neighbour who somehow knows everyone's business. The same logic applies to artificial intelligence. Investors often talk about AI as though the biggest winners will

For the past three years, investors have been obsessed with one question: who will build the fastest AI chip? I think the more important question is this: who gets paid every time those chips need to talk to one another? That distinction sits at the heart of Marvell Technology's transformation. Following Jensen Huang’s public declaration that Marvell could become the next trillion-dollar company, investors suddenly began reassessing a business they had long treated as peripheral to the AI story. The reaction has been violent. But I suspect many are still using the wrong mental model. They see a semiconductor supplier. I increasingly see an infrastructure business whose value rises with complexity itself. The network may become more valuable than the nodes Complexity Is Becoming the Product

Wall Street thinks it has the Dell story figured out. AI demand explodes. Dell sells more AI servers. Revenue rises. Earnings surge. The share price goes vertical. End of story. The numbers are impressive. Revenue has climbed to roughly $134 billion. Quarterly revenue growth has reached 87.5%. Earnings growth stands at 256.3%. The shares have gained more than 325% over the past year and nearly 1,000% over the past three years. Those are the sort of returns that make investors suddenly remember they always believed in hardware. Yet I think the market may be looking at Dell through the wrong end of the telescope. Dell's greatest AI asset may not be the servers it sells. It may be its growing ability to determine who gets scarce AI infrastructure, when they get it, and how quickly they can pu