To The Moon

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

Inference became theatre. Investors arrived before the final act The IPO That Arrived Exactly on Cue Cerebras Systems did not quietly tiptoe onto the public markets. It marched in wearing a brass band, carrying a wafer-sized silicon dinner plate, and demanding Wall Street’s full attention. At one point, investors valued the company at roughly $95 billion following its explosive debut, briefly treating it less like a semiconductor firm and more like the AI equivalent of discovering fire. What fascinates me is not merely the technology. The real story is the timing. Cerebras went public at the precise moment the AI narrative flipped from training models to running them. For the past two years, investors obsessed over who could build the biggest large language model. Now the market cares abou

The AI Toll Collector Nobody Expected Most investors still think $Advanced Micro Devices(AMD)$ is fighting Nvidia for the AI throne. I increasingly think AMD may profit even if it never wins the crown. That is what makes the stock so dangerous at today’s valuation. At nearly $700 billion in market value and more than 140 times trailing earnings, AMD is no longer priced like a challenger. It is priced like a future AI superpower. Yet unlike Nvidia — whose software ecosystem behaves less like a product suite and more like a fully electrified railway network that developers are already locked into — AMD is still racing to prove its moat can widen fast enough to justify the premium investors have assigned it. The paradox is brutal. AMD may not need to

The Cybersecurity Vendor That Quietly Became an Operating System There is a strange irony surrounding CrowdStrike Holdings, Inc.. Despite becoming one of the most dominant software platforms in enterprise security, many investors still discuss it as though it merely sells antivirus software with better marketing and cooler conference booths. That framing now looks wildly outdated. What I increasingly see is a company evolving into the operating layer for modern cybersecurity operations — a position that tends to create frighteningly durable economics. Once enterprises centralise endpoint security, identity protection, cloud workload monitoring, threat intelligence, SIEM, and incident response into a single architecture, the cost of ripping it out becomes about as appealing as replacing a j

Now You Seat Me, Now You Don’t ServiceNow just delivered the sort of quarter that normally sends software stocks sharply higher. Subscription revenue rose 22% year over year to $3.67 billion. Customers spending more than $1 million annually on its AI product, Now Assist, surged over 130%. Management then raised its AI revenue target from $1 billion to $1.5 billion midway through the year. The reward? A near-20% share price collapse in a single trading session. That reaction tells me something important about where markets are in 2026. Investors are no longer questioning whether AI adoption is real. They are questioning whether AI quietly destroys the business model that made enterprise software wildly profitable in the first place. AI may be replacing the very seats SaaS once monetised And