To The Moon

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

Wall Street Still Thinks Vistra Is a Utility For years, investors searching for artificial intelligence winners have looked upwards—towards chips, software, and cloud platforms—as if value only exists in the digital layer. I increasingly think that framing misses the real bottleneck entirely. AI does not fail because code is insufficient. It fails if the lights go out. That is why Vistra matters. Where electricity stops being supply and becomes access control I do not think the market has fully adjusted to what this company is becoming. It is still treated like a conventional power producer, when in reality it is drifting towards something more unusual: an owner of constrained physical access to electricity in a world where demand is becoming structurally unbalanced. Electricity itself is

The Day a 'Good Quarter' Stopped Being Good Enough A company grows revenue by 25.4%, beats earnings expectations, generates more than $1.1 billion in annual free cash flow, and still loses over a third of its market value in a single session. That is not a normal earnings reaction. That is a repricing event disguised as a tantrum. When expectations break, price discovers its own reality When Zscaler collapsed after its latest results, the immediate explanations were familiar: cautious guidance, sales leadership turnover, and lingering AI anxiety. All valid. None sufficient. Because nothing in the reported numbers justifies the scale of the move in isolation. Revenue still expanded strongly. Cash generation remained robust. The balance sheet remained comfortably funded. So I don’t think the

Blackstone’s Hidden Grid The Firm Quietly Wiring the AI Economy For years, $Blackstone Group LP(BX)$ looked like Wall Street’s ultimate opportunist: buying distressed property, restructuring companies, and waiting patiently for buoyant markets to make everyone look clever. Today, I think that description is increasingly incomplete. Blackstone is evolving into something far more strategic — a private-market utility operator sitting underneath artificial intelligence, energy infrastructure, logistics, and sovereign capital flows. The company is no longer merely investing in assets. Increasingly, it is positioning itself around the bottlenecks the modern economy cannot function without. That distinction matters because the market still prices Blackston

The Car Without the Driver Still Needs a Passenger Uber Technologies is still widely analysed as though it were a ride-hailing company approaching its own disruption event. I believe the more important question is whether Uber is quietly positioning itself to become the operating system sitting above autonomous transport itself — a role that could ultimately make the platform more valuable in a driverless world than it ever was with human drivers. The traditional bear case argues autonomous vehicles eliminate the human driver and therefore destroy Uber’s labour marketplace. Yet that analysis focuses too heavily on what disappears and not enough on what becomes more valuable once transportation itself starts behaving like a commodity. Consumers rarely care how the vehicle arrives. They care

Salesforce is no longer the rebel that disrupted enterprise software. It is enterprise software. That distinction matters because the biggest threat facing the company is no longer a competitor — it is the possibility that artificial intelligence rewrites the economics of the entire SaaS industry. Tonight’s earnings are important for one reason above all others: investors need evidence that Salesforce can monetise AI before AI starts cannibalising its traditional seat-based model. That tension explains why the stock has collapsed more than 32% year-to-date despite a business that still produces over $41 billion in annual revenue and more than $16 billion in free cash flow. Salesforce is no longer being valued as a dominant platform. It is being valued as a company potentially standing on t

Netflix is no longer trying to become the world’s biggest streaming service. I think it is attempting something far more ambitious: building the first truly global television network for the algorithmic age. Wall Street still largely values the company as though it were merely a subscription platform whose fortunes rise and fall on quarterly subscriber additions. But that framework increasingly feels outdated. The more important question is whether $Netflix(NFLX)$ can become the world’s first globally scaled advertising network built entirely for the digital era — without inheriting the bloated economics that strangled legacy television. Cable transformed media by controlling distribution. Netflix may be trying to control something even more valua

The market thinks it sees a card company. I think it is watching a financial operating system emerge. Mastercard has become one of the stranger stories in the market this year. Here is a business generating absurd profitability, growing revenue at double digits, printing cash with the efficiency of a central bank photocopier — and still underperforming the S&P 500 by a painful margin. The stock is down more than 12% year-to-date while the broader market has surged. Normally, that sort of divergence appears when margins are compressing, growth is slowing, or investors realise the story was built on optimistic arithmetic. None of those things are happening here. The market hesitates even while long-term buyers quietly accumulate Instead, I think the market has become oddly conservative a

For most of the AI boom, investors focused obsessively on who makes the chips and who rents the cloud capacity. I think that framing is already becoming outdated. The real constraint inside modern AI infrastructure is no longer raw compute power alone; it is the speed and efficiency with which thousands of GPUs communicate with one another. That shift matters because idle GPUs are financial vandalism. Hyperscalers are spending tens of billions building AI clusters, but if the networking layer cannot move data efficiently between processors, expensive compute hardware simply sits there underutilised. In practical terms, networking has evolved from a supporting technology into one of the central determinants of AI economics. That is why Arista Networks has quietly become one of the most stra