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Wall Street is WRONG about Oracle. $ORCL is being pitched as the "fourth hyperscaler." The AI infrastructure play of a lifetime. 35 out of 46 analysts have a buy rating. Consensus price target is $246. The stock is at $172. Down 47% from its September high. Now let me...

58,284 次观看 • 3 个月前 •via X (Twitter)

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Larry Ellison borrowed $125 billion to bet everything on a single customer that LOSES $5 billion a year. American banks are already refusing to lend him another dollar. And now that single customer has started to slowly walk away. This is one of the biggest gambles in tech history - and it’s NOT looking good: Oracle has $124.7 billion in debt on its books right now. That's more than the GDP of 100+ countries. Their free cash flow over the last 12 months? Negative $13.18 billion. They are spending more money than they make. And they're doing it on PURPOSE. Every other hyperscaler funds their AI buildout with cash. Google has cash. Amazon has cash. Microsoft has cash. Oracle has IOUs. They raised $58 billion in debt in just two months. $38 billion for Texas and Wisconsin data centers. $20 billion for New Mexico. And they need another $100 billion on top of that. Even US banks are starting to say no. TD Cowen reported that multiple banks have pulled back from Oracle lending. Borrowing costs have roughly DOUBLED since September. They're now paying interest rates typically reserved for companies rated below investment grade. Barclays downgraded their debt to underweight and warned Oracle could run out of cash by November 2026. So what does Larry Ellison do? He FIRES 30,000 people. Oracle is planning layoffs affecting up to 18% of its entire workforce. The goal is to free up $8 to $10 billion in cash flow just to keep the lights on while they build data centers for ONE customer: OpenAI. Oracle's $553 billion backlog sounds incredible until you realize a massive chunk of it flows through a single relationship. If OpenAI sneezes, Oracle catches pneumonia. And OpenAI is already sneezing... Sam Altman DROPPED plans to expand the Stargate site in Abilene, Texas. And the reason is insane: Nvidia's chips are improving so fast that by the time Oracle finishes building the data center, the processors inside it will already be outdated. Oracle is building with Blackwell chips. But Nvidia's new Vera Rubin platform delivers 5x the inference performance at 10x lower cost per token. So Oracle is borrowing billions to build facilities that will house yesterday's technology before they even open. The world of bits moves faster than the world of atoms. And Oracle is trapped in between. But here's where it gets wild: The earnings call revealed something most people missed... Oracle now REQUIRES certain customers to buy their own GPUs upfront and hand them over. They call it the "bring your own chips" model. Translation: Oracle can't afford the hardware anymore. So they're asking customers to fund the construction of Oracle's OWN data centers. The stock is still down 23% this year even after the 12% earnings pop. Moody's rates Oracle just two notches above junk status. Lower than Amazon, Alphabet, Meta, and Microsoft. And they have $248 billion in ADDITIONAL lease obligations that aren't even on the balance sheet yet. Larry Ellison is 81 years old and making the biggest bet in corporate history. He's trying to turn a legacy database company into a hyperscale AI cloud provider using other people's money. All while his only major customer is a startup that burns $5 billion a year and just had its expansion partner refuse to fund the next campus. The earnings beat was real. Revenue up 22%. Cloud infrastructure up 84%. But revenue growth funded by debt isn't growth. It's leverage. And leverage works both ways. If OpenAI stays loyal, if the Stargate buildout continues, if the debt markets keep lending, if Vera Rubin doesn't make their entire infrastructure obsolete overnight, then Larry Ellison pulled off the greatest corporate reinvention in history. But that's a lot of ifs for a company two notches above junk. Oracle is either the most undervalued AI play on the market or the most overleveraged house of cards since 2008. The next six months will tell us which one.

Ricardo

181,176 次观看 • 5 个月前

Google just reported $99 billion in profits it never actually received. Alphabet posted net income of $112.1 billion for a single quarter. Earnings per share came in at $9.11 against a Wall Street estimate of $2.87. That is one of the largest profit quarters any company has ever printed. Yet the stock fell about 7% the same day. When people read past the headline and opened the earnings release, they found the reason sitting in one footnote... $99 billion of that profit came from a line called other income. Alphabet describes it as "primarily the result of net unrealized gains on our equity securities." So Google did not sell anything. It marked up shares it already owned and ran the increase through its income statement. That single line added $77.1 billion to net income after tax. It accounted for $6.26 of the $9.11 in earnings per share. Strip it out and adjusted earnings per share were $2.85. Analysts wanted $2.89. The ACTUAL business missed. Now here is what makes this insane: Most of that $99 billion came from two holdings, SpaceX and Anthropic. SpaceX went public on June 12 at roughly $1.77 trillion, up from about $400 billion a year earlier. Alphabet's stake is worth $94.1 billion, and roughly $80 billion of it sits under sale restrictions. Anthropic went from a $350 billion valuation to $965 billion inside the same quarter. Alphabet's private company holdings were worth about $124.3 billion on June 30, and the vast majority of that is Anthropic. Google cannot sell either position right now. Now trace where that valuation came from: Google started putting money into Anthropic in 2023. A $300 million bet has grown into a $13.3 billion position with commitments of up to $30 billion more. Anthropic committed to buying at least five gigawatts of computing capacity from Google Cloud. Google Cloud revenue then grew 82% to about $24.8 billion, the strongest quarter that business has ever had. That growth is part of the story the market uses to price both companies. And when Anthropic's valuation jumped, Google booked the jump as its OWN profit. Google is the investor, the supplier, and the party deciding what the asset is worth. A tax and accounting consultant named Robert Willens flagged this back in April, pointing out that Alphabet is able to influence the value of one of its own assets. And Alphabet's free cash flow for the quarter was negative $5.9 billion. That is the first negative quarter since Google went public in August 2004. Capital spending hit $44.9 billion. Operating cash flow was $39.1 billion. Capex now eats about 37.5% of every dollar of revenue, the highest share in the company's public life. To fund it, Alphabet has taken on roughly $100 billion of debt this year and raised about $85 billion in a June share sale, its first in more than two decades. This is a company that spent years buying its own stock back. What happens next: Alphabet raised 2026 capital spending guidance to between $195 billion and $205 billion, the second raise in three months. The finance chief told analysts 2027 spending will rise significantly. The company also disclosed $811 billion in contracted future spending commitments as of June, up nearly $500 billion from March. Those commitments are signed contracts that get paid in cash. The profit is an estimate of what a private company might be worth on a given day. Estimates move in both directions. If Anthropic or SpaceX gets repriced downward, the same line that produced the biggest quarter in Google's history runs backwards, and this quarter produced no free cash flow to absorb it. Meta, Microsoft and Amazon are all carrying their own private AI stakes into their own earnings reports. Watch how much of their profit they actually collected in cash...

Ricardo

364,107 次观看 • 22 天前

OpenAI just got OFFICIALLY flagged as a company that might not be able to pay its bills. S&P Global Ratings just cut Oracle's long term credit rating from BBB to BBB-. One more cut and Oracle becomes a JUNK rated company for the first time in its history. But the reason S&P gave is what's really interesting here... They named OpenAI as a "key credit risk" inside the report. OpenAI is a private company. It carries no credit rating and has never been profitable. And a ratings agency just took the risk of that company failing and wrote it directly onto the credit file of a public company held inside pension funds and bond funds all over the world. OpenAI accounts for roughly HALF of Oracle's remaining performance obligations. That's the famous $638 billion backlog every bull points to as the reason to own the stock. Half of the asset is the risk. And then there's the maturity trap: Oracle's data center leases run 15 to 19 years. Its cloud customer contracts run about 5 years. Oracle disclosed both figures in its own annual report. So Oracle is signing 19 year obligations to serve 5 year promises made by a customer that has never earned a dollar of profit. If OpenAI cannot pay, Oracle gets left holding data center leases it may not be able to exit, and may have to re-lease to somebody else on worse terms. That is the entire downgrade in one sentence. The numbers underneath: Oracle spent roughly $55.7 billion on capital projects in fiscal 2026 and posted negative $23.7 billion in free cash flow. S&P now expects the fiscal 2027 cash flow deficit to widen to around negative $42 billion. That is nearly DOUBLE its previous estimate, and the agency admitted it had underestimated how much Oracle would need to spend. Oracle plans to raise up to $40 billion in fiscal 2027, including a potential $20 billion share sale that would add roughly 4.8% to its share count. They literally cannot borrow more without triggering the next downgrade, so shareholders are being diluted to protect the bondholders. And the funny part is that on the day of the downgrade, Oracle's stock went UP 2.65%. But on that same day, the spread on Oracle's BONDS widened. Equity investors looked at the $638 billion backlog and bought. Credit investors looked at the identical company and demanded to be paid more for the risk of holding it. Credit investors are the ones whose entire job is to price what goes wrong, so they just repriced Oracle. For context, Microsoft is rated AAA, Alphabet is AA+, and Amazon is AA. Oracle is chasing the same AI contracts from seven to nine notches further down the ladder. The day after the downgrade, the UK named Oracle, alongside three other cloud providers, a critical third party to the British financial system. Supervision by the Bank of England begins July 13. Oracle is the only one of those four sitting one notch above junk. Now follow the chain: OpenAI has never made a profit. OpenAI is half of Oracle's backlog. Oracle is one downgrade from junk. Oracle is now formally load bearing infrastructure for British banks. The business risk of an unprofitable private startup has traveled through a corporate balance sheet and landed inside the supervisory perimeter of a central bank. Nobody designed that. It happened one contract at a time. And the demand IS real. Oracle's cloud infrastructure revenue grew 93% last quarter. If this buildout works, it becomes one of the great corporate reinventions in history. But the whole structure now rests on one question that no rating agency, no bank and no regulator can answer: Can OpenAI pay its bills?

Ricardo

303,008 次观看 • 1 个月前

When does the AI spending actually end? It's the question Wall Street doesn't want to answer. The Big Four hyperscalers are pouring $600+ billion into AI infrastructure this year alone. That's triple what they spent two years ago. Amazon just guided $200 billion in 2026 capex. The company is expected to go negative on free cash flow this year - somewhere between $17 billion and $28 billion in the red, depending on which bank you ask. Alphabet's free cash flow is projected to fall 90%. From $73 billion to $8 billion. These are the most profitable companies in history. And they're borrowing money to fund a buildout with no clear end date. The depreciation problem is what nobody wants to discuss: Nvidia chips run on a 2-3 year product cycle. Each new generation delivers 2-3x better performance. So the H100s shipping today will be economically obsolete by 2027. BUT the hyperscalers are depreciating these assets over 5-6 years. Meta extended its useful life estimates to five-and-a-half years. That single change cut $2.9 billion from their 2025 depreciation expense. Microsoft, Alphabet, Oracle - all made similar moves. Run the numbers and depreciation is understated by roughly $176 billion between 2026 and 2028. That means Oracle's earnings could be inflated by 27% and Meta's by 21%. This isn't fraud. GAAP allows it. But it's aggressive accounting that makes current earnings look far better than the underlying economics. The debt picture makes it even WORSE. The top five hyperscalers raised $108 billion in debt last year - more than 3x the prior nine-year average. JP Morgan projects $1.5 trillion in tech debt issuance ahead. They're even securitizing data center debt into asset-backed securities. $13.3 billion this year alone. Those structures have a history. This looks eerily similar to the data connectivity buildout circa 2000. In that cycle, telecoms built massive infrastructure on borrowed money chasing demand that never materialized. By 2002, less than 5% of capacity was in use. The pattern is familiar: Capex explodes. Returns don't materialize. Accounting flatters earnings. Debt bridges the gap. Then the music stops. I'm not making predictions about timing. But when free cash flow turns negative, when hyperscalers hold more debt than cash for the first time, when accounting changes are inflating earnings by double digits... The math changes. We've seen this play out before multiple times. AND IT DOESN'T END WELL

George Noble

37,099 次观看 • 5 个月前

S&P just cut Oracle to one notch above junk, and the stock went UP anyway. Think about that for a second... Back in December I told you the AI arms race would keep rewarding capex right up until the moment it didn't, and I pointed straight at Oracle. The stock is now down more than 55% from its high and this week S&P downgraded its credit to the lowest rung of investment grade, which means one more cut and Oracle wears a junk rating for the first time in its history. The downgrade landed because the cash bleed is getting MUCH worse. S&P now sees Oracle burning close to $42 billion in free cash flow next year, nearly double its earlier estimate, with capex rocketing toward $90 billion and a single customer (OpenAI) sitting behind roughly half of that $638 billion backlog. The bond market looked at all of that and reached for insurance. The stock market looked at the exact same company and bid it higher. When those two disagree like this, 45 years in this business has taught me to side with the bondholders every single time. They get paid before shareholders do, so they tend to see the trouble first. And Oracle is now funding this buildout with equity instead of debt, with another $20 billion in stock issuance slated for this year. A company confident in its own cash flows borrows against them. A company bracing for a downgrade dilutes its shareholders instead. Oracle showed you which one it is. If you want to know how to actually make money in a market this dominated by Big Tech narratives, that is what July 22nd is for. 14 elite investors are sharing the specific longs and shorts they are backing with their own capital - for just $99. We entered the golden era of stock picking. Grab your ticket today:

George Noble

18,966 次观看 • 1 个月前

OPENAI IS GOING TO TAKE THIS ENTIRE MARKET DOWN WITH IT And you don't have to own a single share to get hurt. What I'm about to explain should worry anybody who thinks they're diversified: OpenAI is a LOAD-BEARING company. Pull it out and the whole structure comes down. They spent $17.2 billion on Microsoft Azure in calendar 2025, which is 69% of Microsoft's entire year-over-year growth. Take that one customer out and Azure grew 8%, which barely beats inflation. Now look at what Microsoft just reported: The backlog everyone is celebrating came in at $678 billion, up 84%, and the stock ripped. Sounds fantastic until you realize that when you exclude OpenAI the backlog grew only 25%. Back in January, when that number was $625 billion, roughly $281 billion of it was owed by one private company nobody can audit. And Oracle is in even WORSE shape. Something like $300 billion of its backlog, more than half, rides on the same counterparty. So you think you own Microsoft, Oracle, Amazon, CoreWeave, Nvidia and SoftBank? What you actually own is the same trade 6 different ways, and every leg of it runs back to one company that burns cash and still cannot go public. The people with real money are already backing out. Julien Garran pointed out that Masayoshi Son could not get a $10 billion bridge loan against his own OpenAI shares. Think about that for a second, because nobody says no to that man. Blue Owl walked away from a $10 billion Oracle financing. Three months ago the banks were dancing near the door and now they are walking through it. Then there is Julien's depreciation work, which makes this even worse: Run the capex schedule out and hyperscaler net income falls 98% by 2033. To break even they would need to build 20 killer apps inside 6 years. Another Google Search. Another YouTube. Another Office. They have not built ONE. If OpenAI cannot go public in the next 8 months, they are dead. Whenever you see hubris and debt in the same room, run, don't walk.

George Noble

293,422 次观看 • 16 天前

OpenAI's OWN CFO just admitted they cannot pay their bills. Let me walk you through what just leaked, because the implications are bigger than you'd expect: Sarah Friar, the Chief Financial Officer of OpenAI, has been warning OpenAI's leadership that the company may NOT be able to pay for the computing contracts it has already signed if revenue does not start growing a lot faster than it currently is. Read that sentence again, because it is the single most important thing you'll read about AI infrastructure this year. The person whose actual JOB is signing the checks is telling the people around her that the checks may not clear. Sam Altman and Friar issued a joint statement calling the report "ridiculous" and insisting they're aligned on buying as much compute as possible. Of course they did. Sarah Friar is steering this company into an IPO with a reported $852 billion valuation. The last thing they need 6 months before printing the S-1 is the CFO publicly questioning whether the entire infrastructure thesis is solvent. But the denial doesn't change what WAS reported. And the reported facts are devastating: OpenAI missed its internal target of 1 billion weekly active ChatGPT users by the end of 2025. ChatGPT's share of generative AI web traffic collapsed from 86.7% a year ago to 64.5% in January. In the same window, Google's Gemini rose from 5.7% to 21.5%. They missed MULTIPLE monthly revenue targets earlier this year. They are losing ground to Anthropic in coding and to enterprise customers more broadly. Subscribers are leaving. Now hold that picture in your head and look at what they have committed to spend: Roughly $1.4 TRILLION in data center, GPU, and memory contracts. $300 billion to Oracle. $250 billion to Microsoft. $38 billion to Amazon. $90 billion to AMD. Tens of billions more to Broadcom, CoreWeave, and Nvidia. And Deutsche Bank estimates $143 billion in cumulative negative free cash flow between now and 2029. The CFO is not "worried" because she is conservative by nature. She is worried because she is doing the math. Here's the part the market hasn't yet processed: OpenAI is the marginal buyer for the ENTIRE AI infrastructure complex. - Oracle's $553 billion backlog is more than half OpenAI. - Nvidia's 2027 revenue assumptions lean heavily on OpenAI deployments. - AMD's "$90 billion in cumulative hardware revenue" claim from its OpenAI deal IS the OpenAI deal. - CoreWeave is essentially a leveraged bet on OpenAI's ability to pay. - Broadcom's custom silicon roadmap was built around OpenAI demand. If OpenAI cannot fund the contracts it has signed, every one of those numbers gets re-cut. Every Mag 7 capex slide gets re-cut. Every analyst model that uses "AI infrastructure demand" as a justification for trading the S&P 500 at 26x forward earnings gets re-cut. This is exactly what I've been calling the counterparty risk problem. You can't have a $1.4 trillion supply chain whose ultimate customer expects to LOSE $143 billion before it generates a dollar of free cash flow, and then pretend the suppliers carry no risk. Pre-market this morning told you the market is starting to figure it out: Rambus down. Marvell down. Oracle indicated down 4.5%. Nvidia, AMD, Broadcom under pressure. The chip complex understands that "OpenAI's CFO is worried" is not noise. It is the first crack in the financing structure that the entire AI trade rests on. This is just like the junk bonds in 1989, Telecom in 2000, or Subprime CDOs in 2007. The pattern is always the same: Outside skeptics raise the alarm and get ignored. Then someone inside the building tells the truth and the building empties. Sarah Friar just told the truth. The Mag 7 are literally priced for OpenAI delivering what its OWN CFO says it may not be able to pay for. Below is a video from February of last year - everything is aging TERRIBLY...

George Noble

25,935 次观看 • 3 个月前

Nvidia is pulling off the most sophisticated financial loop in tech history. They invested $40 BILLION in its own customers in just 5 months. Here's why this could blow up the entire AI economy: Nvidia generated $97 billion in free cash flow last year. Instead of sitting on it, Jensen started writing checks to every company in the AI supply chain. Not small checks. We're talking about billions at a time. And almost every single one of those companies turns around and spends that money on Nvidia chips. Follow the money: $30 billion into OpenAI. OpenAI is one of Nvidia's largest GPU customers and spends billions annually on Nvidia hardware through cloud providers. $2 billion into CoreWeave, a company that exists exclusively to rent out data centers full of Nvidia GPUs. $2 billion into Marvell for silicon photonics that connects Nvidia systems. $2 billion into Lumentum for optical tech that powers Nvidia data centers. $2 billion into Coherent for the same thing. $2 billion into Nebius, an AI cloud company deploying Nvidia infrastructure. $3.2 billion into Corning, the glassmaker building three new US factories specifically to make fiber optic cables for Nvidia's next-gen systems. $2.1 billion into IREN, a data center operator that just agreed to deploy 5 gigawatts of Nvidia-designed infrastructure. And the list goes on. Every single recipient either buys Nvidia chips directly, builds infrastructure that runs on Nvidia chips, or manufactures components that go inside Nvidia systems. Matthew Bryson, an analyst at Wedbush Securities, said in a research note that Nvidia's dealmaking fits "squarely into the circular investment theme." Bloomberg even published an entire interactive feature this week titled "AI Circular Deals: How Microsoft, OpenAI and Nvidia Keep Paying Each Other." The piece maps how capital flows between the same handful of companies and gets counted as revenue multiple times along the way. But here's the part that makes this genuinely complicated: Nvidia's $5 billion investment in Intel from September is now worth over $25 billion. That's a 5x return in months. Their private company portfolio went from $3.4 billion to $22.3 billion on the balance sheet in a single year. They booked $8.9 billion in gains from equity investments alone. So when critics say "circular investing," Nvidia can point to Intel and say "we turned $5 billion into $25 billion, this is just smart capital deployment." And they're not wrong. Some of these bets ARE paying off like crazy. The real question is whether Nvidia is a chipmaker that happens to invest, or a venture fund that happens to sell chips. Because right now Jensen is doing both at a scale that has never existed in the semiconductor industry. No chipmaker in history has EVER invested $40 billion in its own ecosystem in five months. Last fiscal year Nvidia invested $17.5 billion in private companies. Their SEC filing literally says those investments include "AI model companies that purchase its products directly or through cloud service providers." They're saying it themselves: We invest in companies that buy our products. On Nvidia's last earnings call, Jensen told investors their investments are focused on "expanding and deepening our ecosystem reach." Translate that from CEO-speak and it means " we're funding the companies that fund us. The bull case says Nvidia is building an unbreakable moat by financing the entire AI supply chain and ensuring it all runs on Nvidia hardware. The bear case says this is the most elaborate circular revenue scheme since the subprime mortgage era and it all breaks apart the moment one domino falls. Both cases use the exact same evidence.

Ricardo

159,345 次观看 • 3 个月前

Greg Brockman, President of OpenAI, said there is not enough compute in the world to satisfy AI demand, and OpenAI itself cannot launch products it has already built because it cannot find the infrastructure to run them (Save this). OpenAI is spending $50 billion on compute in 2026 alone and it still is not enough. That is the setup but here is the trade. Nebius is one of the most asymmetric infrastructure plays in public markets right now, and most people have never heard of it. Q1 2026 revenue came in at $399 million, up 684% year over year, with AI cloud revenue specifically growing 841% in a single quarter. The company entered 2026 with an exit ARR of $1.25 billion and is targeting $7 to $9 billion by year end, a number that would make it one of the fastest revenue ramps in the history of public infrastructure companies. The contracted backlog sits at $50 billion anchored by a $17.4 billion agreement with Microsoft through 2031 and a $27 billion five-year deal with Meta. They are decade-scale infrastructure commitments from the two largest enterprise AI spenders on earth, signed before the demand curve has even reached its steepest point. Nvidia took a direct equity stake in Nebius, one of only two neoclouds it has invested in alongside CoreWeave. That relationship is not just financial but rather means Nebius gets preferential access to GPU allocation at a moment when every lab and every hyperscaler is competing for the same constrained supply. Contracted power capacity now exceeds 3.5 gigawatts, with expansion plans targeting 5 to 6 GW by mid-2029. And power is the other binding constraint in AI infrastructure, you cannot build a data center without it and Nebius has already secured the capacity that competitors are still fighting to acquire. At full ramp, analysts project revenue in the $15 to $25 billion range by 2029, against a current market cap the contracted backlog alone already dwarfs. Come join Milk Road Pro and get our full Nebius deep-dive, the exact price levels we are watching, how we are sizing the position against the backlog and power capacity timeline, and our full AI thesis. link below!

Milk Road AI

14,578 次观看 • 1 个月前

Big Tech is spending $700 BILLION on AI this year. But their cash flow is collapsing. Amazon is going into debt. Google's free cash flow is dropping 90%. And they're literally paying influencers $600,000 each to convince you AI is worth using. If this technology was as revolutionary as they claim, why are they spending half a million dollars per creator to sell it? Here's what's actually happening behind the scenes: This week, all four tech giants reported earnings at once and every single one dropped a spending number that made Wall Street lose its mind. Amazon: $200 billion in capex. The largest corporate capital expenditure in HISTORY. Stock dropped 9%. Google: $185 billion. Wall Street expected $120 billion. Stock dropped 5%. Meta: $135 billion. Double what they spent last year. Microsoft: down 17% this year, worst performer in the group. Combined 2026 AI infrastructure spend: almost $700 billion. But here's where it gets ugly. Amazon's free cash flow collapsed 71%. Morgan Stanley projects they'll burn through $17 billion in NEGATIVE free cash flow this year. Bank of America says the deficit could hit $28 billion. Amazon quietly filed with the SEC on Friday saying they might need to raise debt to keep building. Google's free cash flow is projected to crater 90%, from $73 billion down to $8.2 billion. They already did a $25 billion bond sale in November and their long-term debt QUADRUPLED last year. These companies are spending everything they have, then borrowing more, then spending that too. Now here's the part that got me thinking: CNBC just reported that Google, Microsoft, OpenAI, Anthropic, and Meta are paying influencers between $400,000 and $600,000 EACH to promote AI products on Instagram and YouTube. AI platforms spent over $1 BILLION on digital ads in 2025, a 126% jump year-over-year. Google and Microsoft's AI ad spending jumped 495% in January 2026 alone. Anthropic is running Super Bowl ads. OpenAI is flying creators to private events and covering all expenses. When was the last time a truly revolutionary technology needed a $1 billion ad campaign and $600K influencer deals to get adoption? Did the iPhone need influencer campaigns? Did Google Search need Super Bowl ads in 1998? Did email need a billion dollar marketing push? No. People just used them because the value was obvious. You know what DOES need massive paid promotions? Pharmaceutical drugs. Crypto exchanges. Online gambling apps. MLM companies. Products where adoption is driven by hype, not utility. And now, apparently, AI. So the pitch from Big Tech is: "This technology will eliminate your job. Also please use it. Here's $600K if you tell your followers it's cool." They need HUMANS to sell a product they designed to REPLACE humans. They need creators to promote a technology that will eventually make creators obsolete. They need influencers to build trust in a system that will eliminate the need for influencer marketing entirely. The question everyone should be asking: If $700 billion per year in spending can't produce a product that sells itself, when exactly does this start making money? Because right now the math is messed up. $700 billion in spending, cash flow crashing, stocks tanking, SEC filings about raising more capital, and the best growth strategy they've got is paying tiktokers to demo features. Either AI is about to deliver the greatest economic transformation in human history, or we're watching the most expensive corporate Hail Mary ever thrown. And the fact that they need to pay half a million dollars per influencer to convince you it's the first one isn't a good sign.

Ricardo

725,581 次观看 • 6 个月前

Elon Musk's biggest competitor is secretly paying him $1.25 BILLION per month. SpaceX just revealed its financials for the first time in 23 years of existence. And buried deep in the S-1 is a detail that changes how you should think about the entire AI race. Anthropic, the company building Claude, the company that positions itself as OpenAI's biggest threat, the company valued at over $100 billion, is paying SpaceX $1.25 billion EVERY SINGLE MONTH for compute capacity through May 2029. That is $15 billion a year flowing directly from Elon's top AI competitor into Elon's bank account. Think about what that means: Every time Anthropic trains a new model, improves Claude, or lands an enterprise customer, a massive chunk of that revenue goes straight to the guy who owns the competing AI product. Anthropic is literally funding the war against itself. And that's just the beginning of what this filing reveals... The entire SpaceX IPO is structured around a bet most people haven't figured out yet. In 2025, SpaceX spent $20 billion in capex. 60% of that, roughly $12 billion, went to AI infrastructure. Rockets and satellites got the leftovers. In Q1 2026 alone, $7.7 billion out of $10 billion in total capex went to AI. The "rocket company" is spending like an AI company. Meanwhile, xAI, the division that houses Grok, generated $3.2 billion in revenue for the full year of 2025. But its R&D costs TRIPLED to $5 billion. It's burning cash at a pace that would have destroyed it as a standalone company. Which is exactly why Elon merged it into SpaceX two months before filing the IPO. And Starlink is the engine that makes the whole thing work: $11.4 billion in revenue, $4.4 billion in operating profit, and 10.3 million subscribers across 164 countries. It's one of the most profitable subscription businesses on the planet right now. But the average revenue per user DROPPED from $99 per month in 2023 to $66 per month in March 2026. Subscribers quadrupled but each one is paying a third less. Starlink is growing by getting cheaper. SpaceX has lost $37 BILLION since it was founded. Net loss in 2025 was $4.9 billion. This is a company that has never turned an annual profit in 23 years of operation, and it is about to IPO at a $1.75 trillion valuation. And the total addressable market SpaceX claims in the filing is $28.5 trillion. That is a QUARTER of global GDP. So here is what investors are actually buying when this IPO prices: They are buying the most profitable satellite internet business in history, stapled to an AI lab that is burning cash, wrapped inside a Mars colonization pitch that requires building a permanent city on another planet, funded by monthly billion-dollar payments from a direct competitor who has no other option for compute at that scale. This is the kind of thing only Elon could pull off.

Ricardo

208,495 次观看 • 2 个月前

THIS IS ABSOLUTELY RIDICULOUS. OpenAI and Anthropic are losing money on every dollar they make. OpenAI generated $20 billion in revenue in 2025 and is projected to lose $14 billion in the same year. Internal forecasts project cumulative losses hitting $44 billion by 2028. The company's own CFO warned executives in April 2026 that OpenAI might struggle to finance upcoming computing deals if revenue growth slows. Anthropic reached $4.3 billion in annualized revenue in April 2026 against $19 billion in total costs. It spends $3 to make $1, and is not expected to stop burning cash until 2027. Now look at what these two companies have committed to spend. OpenAI and Anthropic together have committed $1.05 trillion in cloud spending to Microsoft, Oracle, Google and Amazon, making up 43 to 54% of each provider's entire future revenue backlog. - Microsoft: $627B total backlog. OpenAI and Anthropic account for 49%. - Oracle: $553B total backlog. OpenAI alone accounts for 54%. - Google: $467.6B total backlog. Anthropic accounts for 43%. - Amazon: $464B total backlog. OpenAI and Anthropic account for 51%. The entire cloud industry's future revenue is a bet on two companies losing billions every quarter. Microsoft, Alphabet, Meta and Amazon are collectively expected to spend $725 billion in capex in 2026, almost entirely on AI infrastructure. Combined hyperscaler capex from 2025 to 2027 is projected at $1.15 trillion, more than double what was spent from 2022 to 2024. What is the return on all of this? McKinsey's 2025 State of AI survey found that only a minority of companies reported AI meaningfully increased revenue or reduced costs. Enterprise generative AI spending grew from $1.7 billion in 2023 to $37 billion in 2025 and most CIOs still describe their initiatives as pilots without clear ROI metrics. Microsoft's AI business is running at a $37 billion annual revenue run rate with 123% year over year growth. That sounds impressive until you realize most of the capex funding is justified by expected future AI revenue rather than current AI profit. The internet burned money for years before it became the most profitable industry in history. But right now $1 trillion in committed cloud spend, $725 billion in annual capex, two loss-making customers making up half of every major cloud provider's revenue backlog, and the enterprises writing the checks cannot tell you if any of it is working.

Crypto Rover

58,862 次观看 • 2 个月前

Every Wall Street giant that owns an AI data center is suddenly looking for a buyer. And NONE of them want to be the last one holding it. Three of them made their move in the last two weeks: Vantage Data Centers is exploring an exit. Its owners, Silver Lake and DigitalBridge, are weighing a listing at around $100 billion, or a sale, or a stake sale. It would be the largest data center IPO ever done. Three days earlier, CyrusOne started the same process. KKR and Global Infrastructure Partners met Goldman Sachs and Morgan Stanley, and the banks pitched for roles on a listing that could come as early as 2027. Last month, Switch hired Goldman and JPMorgan to take it public at close to $80 billion including debt, possibly by the fourth quarter. Three different companies moved inside the same 14 days, and the same handful of investment banks took every call. And these are the exact same firms that BOUGHT these companies off the public market four years ago. Between June 2021 and early 2022, private equity took the data center industry private. Blackstone bought QTS. KKR and Global Infrastructure Partners took CyrusOne private in a deal worth about $15 billion. DigitalBridge and IFM took Switch private for about $11 billion. Together those deals ran past $35 billion. By 2023 there were only two pure-play data center companies left on the public market. The logic at the time was that data centers burn cash for years before they pay, and public shareholders hate that. But private money was patient, and private money could wait. Four years later, the AI boom arrived and every one of those buildings became a gold mine. So follow this: Switch went private at about $11 billion in 2022. Its owners now want close to $80 billion for it. That is roughly 7x, in four years, on the same buildings. And DigitalBridge sits on both sides of this. It owns a piece of Vantage and it took Switch private. It is now looking for the door on BOTH. The question now is who is supposed to buy. There is no bigger private buyer left to sell to. These are already the largest infrastructure funds on Earth, and the price tags now run to $100 billion. The only pocket deep enough is the public market, which means anyone with a brokerage account or an index fund. The people who bought low from the public are now organizing to sell high back to the public. And they are doing it while telling everyone the buildout is just getting started. KKR raised a record $19.2 billion for its newest infrastructure fund this month, and in June launched a separate company with over $10 billion committed to finance more construction. So one hand raises fresh billions to build more data centers, and the other hand sells the finished ones to whoever will take them. None of this proves anyone thinks the boom is ending. Selling into strength is what these firms are paid to do, and every one of these deals is early stage and might never happen. But the timing tells you something: The most sophisticated infrastructure investors alive spent four years accumulating these assets in private, and all decided in the same two weeks that now is the moment to find someone else to own them. Four years ago these firms decided the public market was too impatient to own data centers. Now they want the public market to own them again, at 7x the price. Quite suspicious.

Ricardo

69,140 次观看 • 3 天前

In 45 years on Wall Street, I've never seen anything like this. Sam Altman just convinced 3 of the world's smartest investors to fund his losses. $110 billion. But ZERO profit in sight. The largest private funding round in history. Let me explain why this is borderline criminal & what you have to understand as an investor: Amazon. Nvidia. SoftBank. 3 of the world's most sophisticated investors just handed OpenAI $110 billion at an $840 billion valuation. That's more than double the $40 billion OpenAI raised last year. For context: all US venture capital combined invested $170 billion into American startups in all of 2023. Altman just raised 65% of that. Alone. In one round. And the company STILL isn't profitable. Let's look at the actual numbers: OpenAI burned $8 billion in 2025. They project burning $17 billion in 2026. $35 billion in 2027. $47 billion in 2028. Cumulative losses before any projected path to profitability: over $115 billion. Meanwhile, Amazon's $50 billion comes with strings attached. $35 billion is contingent on OpenAI either achieving AGI or completing its IPO by year end. Read that again. $35 billion is conditioned on ACHIEVING AGI. They're literally writing checks against a scientific breakthrough that may not happen on any predictable timeline. This is what peak cycle financing looks like. The circular logic every investor should understand: Amazon invests $50 billion in OpenAI. OpenAI commits to spending $100 billion on Amazon Web Services. Nvidia invests $30 billion. OpenAI commits to buying 3 gigawatts of Nvidia compute. These aren't arms-length investments. They're vendor financing dressed up as venture capital. Amazon and Nvidia are essentially paying OpenAI to buy their own products. The $840 billion valuation prices in a future that doesn't exist yet. At $13 billion in 2025 revenue, that's 65x revenue. Even in 2021 - the most speculative bubble in recent tech history - Snowflake peaked at 50-80x revenue. And Snowflake was actually profitable. J.P. Morgan calculates that the AI industry needs $650 billion in annual revenue just to generate a 10% return on total infrastructure buildout. The entire industry currently generates a fraction of that. I've seen cycles my entire 45-year career. The 1980s defense build-up. The dot-com bubble. The 2008 mortgage machine. The pattern is always the same: When the biggest players start financing each other's growth through circular investment structures, you're not witnessing a revolution... You're watching the LAST PHASE of a credit cycle. Amazon CEO Andy Jassy said OpenAI is going to be "one of the very big winners long term." Maybe. But $840 billion assumes they've already won. Stock prices follow earnings. Always have. Always will. And right now, OpenAI's earnings are deeply, structurally, massively negative. The IPO is coming. The hype will peak. And the question every serious investor needs to answer is simple: At what price does this actually make sense? Sam Altman doesn’t know either - he just keeps raising money faster than he can burn it. This can’t end well.

George Noble

1,197,555 次观看 • 5 个月前

Elon Musk just told lenders he's paying back $17.5 BILLION in debt across X and xAI. Including $3 billion in high-yield bonds being redeemed early at 117 cents on the dollar. NOBODY knows where the money is coming from. And nobody seems to care. Let me explain why you should: Morgan Stanley has been calling existing lenders and telling them everything gets repaid in full. The X debt from the Twitter buyout. The xAI bonds from June. All of it. The bonds were structured to stay outstanding for at least 2 years. They're being called back less than a year later at a 17% premium. Bondholders are thrilled. Of course they are. They're getting paid above par on junk paper. But here's the part that should make you uncomfortable: xAI lost $1.46 billion in a single quarter last year. Burned through $7.8 billion in cash in the first 9 months of 2025. Revenue for the September quarter was $107 million. That's a company hemorrhaging roughly $1 billion a month. On a standalone basis, xAI exited 2025 at about a $500 million annualized revenue run rate. Even with optimistic projections, they might hit $2 billion in 2026. So where does $17.5 billion come from? xAI raised $20 billion in a Series E round in January. That's the most likely answer. Take the money investors gave you to build AI infrastructure and use a huge chunk of it to retire debt. But that's NOT a sign of strength. That's financial engineering. You raise $20 billion from investors who think they're funding the next frontier of artificial intelligence, then you turn around and use most of it to clean up the balance sheet before an IPO. Because that's what this is really about. SpaceX is targeting a confidential SEC filing as early as this month. IPO could come in June. Valuation targets exceed $1.75 trillion. The combined SpaceX-xAI entity currently carries about $18 billion in obligations. You can't take a $1.25 trillion company public with $18 billion in legacy debt from a money-losing AI startup and a social media platform that was acquired with leveraged buyout financing. So you nuke the debt. Clean the balance sheet. Present a simpler story to IPO investors. Smart? Absolutely. But let's be honest about what it actually is. SpaceX proper generated about $15 billion in revenue and $8 billion in profit in 2025. xAI generated roughly $250 million in six months and lost $2.5 billion doing it. At a $1.5 trillion IPO valuation, you're looking at roughly 94x trailing sales and 500x trailing earnings for the combined business. Those are not rational multiples. Those are lottery ticket multiples with better branding. And the $17.5 billion debt payoff doesn't change the underlying economics. It only changes the optics. xAI is still burning close to $1 billion a month. Grok still has a fraction of ChatGPT's market share. The revenue doesn't come close to justifying the infrastructure spend. What this reminds me of is the classic pre-IPO playbook taken to an extreme: Use private capital to dress up the financials, time the listing for maximum enthusiasm, and let public market investors hold the bag if execution falls short. The companies that need to clean house before going public are rarely the ones that reward you for buying on day one. My positioning hasn't changed. The AI infrastructure spending boom is real. But the returns aren't materializing for the companies actually deploying the technology. That gap between spending and results is where fortunes get destroyed. Stay skeptical. Stay disciplined. And remember: If the source of $17.5 billion in repayment capital is a mystery, it's a WARNING.

George Noble

471,809 次观看 • 5 个月前

Big Tech just ran out of money building AI and what they're doing to cover it up should be illegal. Google, Amazon, Microsoft, and Meta are spending a combined $700 BILLION this year on AI infrastructure. This eats up 94% of their total operating cash flow. The richest companies in human history are almost broke. And instead of slowing down, they're covering it up with the biggest financial engineering operation since 2008: Google just sold $80 billion in stock to fund AI infrastructure. That was their first equity raise in 20 YEARS. The last time Google needed to sell stock, YouTube didn't even exist. Sundar Pichai admitted the thing keeping him up at night is "compute capacity." The company that prints $100 billion a year in ad revenue just told Wall Street it isn't enough anymore. Amazon's free cash flow is projected to go NEGATIVE this year for the first time ever. Morgan Stanley estimates a $17 billion deficit and Bank of America says $28 billion. The most profitable logistics machine on Earth is about to burn more cash than it generates, and they quietly filed with the SEC saying they may need to raise even more debt and equity to keep building. All four hyperscalers are now borrowing hundreds of billions in bonds to keep the AI buildout alive. These were the most cash-rich companies in human history, and they're leveraging themselves to the teeth to build infrastructure that nobody has proven will generate enough revenue to pay for itself. And the cracks are already starting to show: Broadcom makes the custom AI chips that power Google, Meta, OpenAI, and Anthropic. This week their AI revenue TRIPLED year over year, sales grew 48%, and profits smashed every Wall Street estimate. The reward for all of that was $320 billion in value erased in a single trading session. Their CEO Hock Tan went on the earnings call and exposed three things about the AI industry: Google is already shopping for cheaper AI chip alternatives, broadcom abandoned its strategy of selling complete AI systems and is now retreating to selling bare chips at lower margins. And despite supposedly "unprecedented demand," Tan refused to raise his full-year forecast, which tells you everything about what he's actually seeing behind the curtain. Wall Street heard all three and hit the sell button so hard it dragged AMD, Intel, and the entire chip sector down with it. When a company triples its AI revenue and gets punished because tripling isn't fast enough, the expectations have left the atmosphere entirely. And here's the really scary part... These companies ARE your retirement account. Apple, Microsoft, Amazon, Google, Meta, and Nvidia make up roughly 30% of the S&P 500. If you have a 401k or an index fund, you are already exposed to this bet whether you chose to be or not. Every single one of these companies is telling you AI will generate trillions in revenue. But right now the math says they're spending trillions FIRST and hoping the revenue shows up later. If the revenue catches up, this becomes the greatest infrastructure buildout in human history. Bigger than railroads and bigger than the internet. If it doesn't, the companies that make up a third of the American stock market just leveraged their balance sheets into the largest write-down cycle since 2000. And unlike the dot-com crash, this time the bubble companies aren't random startups with no revenue. They're the backbone of the entire global economy.

Ricardo

228,416 次观看 • 2 个月前

Nebius will be a trillion dollar company (Save this). The neocloud market, purpose-built AI cloud infrastructure, separate from legacy hyperscalers generated roughly $25 billion in revenue in 2025, up 223% year over year. Synergy Research projects it will approach $400 billion by 2031, compounding at 58% annually one of the fastest sustained growth rates ever recorded for an infrastructure category of this scale. The CEO's explanation for why they win is worth understanding in detail. GPU compute is scarce and that part everyone knows but Nebius is not simply renting GPUs by the hour and marking them up, which is what most neocloud imitators do. They have built their own physical capacity for inference, optimized the full technology stack from the software layer all the way down to the rack hardware and recently acquired a company called Agen specifically to push inference latency even lower and throughput even higher. The CEO frames the core problem directly that in 2026, every product you build is powered by tokens, AI intelligence and while you can get those tokens from OpenAI or Anthropic via a simple API call, the moment you want to run open source models, specialized vertical models, or anything other than the two dominant frontier labs, you run into a wall. You can download the weights from Hugging Face and assemble the pieces. But getting those workloads to run at scale, at the economics you need, with the reliability your product requires, is an extraordinarily complex engineering challenge that most companies cannot staff or afford to solve in-house. That is the problem Nebius is solving, and that is why their inference product called Token Factory exists. The financial results are among the most dramatic growth numbers reported by any public company this year. In Q1 2026, Nebius posted $399 million in revenue, a 684% increase from the same quarter a year earlier. In the span of twelve months, the company swung from a $104 million net loss to $621 million in net income. Cash from operations went from negative $184 million to positive $2.26 billion in the same period meaning this is not growth funded by burning investor capital, it is growth that is now generating its own fuel. For the full year 2026, Nebius is guiding for an annualized revenue run rate of $7 billion to $9 billion, with pipeline creation tracking to surpass $4 billion. The contracted backlog sits at $49 billion, anchored by a $27 billion agreement with Meta, a deal worth up to $19.4 billion with Microsoft, and a public endorsement from Jensen Huang at NVIDIA's GTC conference in 2026. The current market cap is approximately $56 billion. A company with $7 to $9 billion in annualized revenue, growing at 684%, turning cash-flow positive, sitting on $49 billion in contracted backlog, operating in a market compounding at 58% annually toward $400 billion, that company has a credible path to 20x from its current valuation if execution holds. That is the trillion dollar case, and it does not require any heroic assumptions and it requires Nebius to keep doing what it is already demonstrably doing. Milk Road Pro called this one early. Our analysts added Nebius to the portfolio when it was still flying under the radar, and we are sitting on a massive gain on that position right now. If you want to see what else we are building conviction on before the rest of the market catches up, come join us at Milk Road Pro using the link below!

Milk Road AI

28,622 次观看 • 2 个月前

Microsoft is deceiving you by inflating its AI empire with money it handed its OWN customer first. They sold Wall Street a $37 billion AI business, then went silent the moment its own filing showed where that money came from. The line sits in the annual report for fiscal 2026: Microsoft recorded $24.1 billion of revenue from commercial arrangements with OpenAI, including revenue sharing payments. If you run that figure against Microsoft's own AI disclosures you'll find that OpenAI made up more than half, and likely around 70%, of everything the company counts as AI sales. ONE customer. A Microsoft spokesperson confirmed the figure covers all sales and revenue share from OpenAI. The 70% comes by assuming Microsoft's AI run rate kept growing at the 123% pace the company itself reported in March, which is the company's own optimistic math turned around on it. Now follow where that money starts: Microsoft has put around $12 billion into OpenAI since 2019. OpenAI spends its cash on computing power, and Microsoft is the cloud provider selling it. So the money leaves as an investment and comes back as an Azure bill. Microsoft then books that bill as AI revenue and shows it to investors as proof the AI business is "working." Microsoft invests in OpenAI -> OpenAI buys Microsoft compute -> Microsoft records the payment as AI revenue -> the AI growth story goes to Wall Street And a chunk of it never actually arrived. The same filing shows $6 billion of accounts receivable from OpenAI as of June 30. That is $6 billion of AI revenue Microsoft booked and had not been paid when the year closed. Now here's where it gets really concerning for anyone holding the stock... Microsoft has told the public how big its total AI business is exactly twice. Once for the quarter ending December 2024, when it said the unit was on pace for more than $13 billion a year. And once for the quarter ending March 2026, when Satya Nadella put it on pace for $37 billion. That $37 billion number went everywhere. It was the headline proof that Microsoft had won the AI race. Then fourth quarter earnings arrived, and Microsoft did NOT update it. The company that had been announcing the figure as its own scoreboard stopped announcing the figure. In the same stretch, the filing landed showing where most of it came from. So what is actually left underneath? The full year AI business ran near $34 billion. Take OpenAI out and roughly $10 billion remains. Microsoft has spent about $261 billion on capital expenditure since the start of 2022. That is the scale of the bet against what the rest of the AI business currently brings in. And the one customer holding it up is walking further away every quarter. In October, Microsoft's stake in OpenAI dropped to 27% from 32.5%. In April the partnership was rewritten so OpenAI can sell its products across any cloud it likes, which is how Amazon got a seat at the table. The exclusivity that made this arrangement valuable is gone. The compute bill and the unpaid $6 billion are still on Microsoft's books. Nadella spent two years telling the market Microsoft built the largest AI business in software. The filing shows one client bought most of it, on credit, using money Microsoft partly supplied. So watch the next earnings call: If Microsoft puts a fresh total AI number back on the board, the business found customers beyond OpenAI. If you hear a lot about AI momentum and never hear what it adds up to, you already know why the number went missing. But nonetheless, how is something like this even legal?

Ricardo

23,705 次观看 • 3 天前