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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....

364,597 次观看 • 1 个月前 •via X (Twitter)

35 条评论

BlueBird 🅰️dvisory 的头像
BlueBird 🅰️dvisory1 个月前

Bunch of BS. Nothing wrong with owning good assets. Check how much yahoo made off of alibaba. Or BRK MADE off of aapl. Anthropic fastest growing company ever. 100 b arr by year end

Alberico Sessa, MD 的头像
Alberico Sessa, MD1 个月前

Garbage post , Google is already below its 200 ma . What more do u want , just buy it

PandorasBoxers 的头像
PandorasBoxers1 个月前

You write this as if it is manipulation rather than legally mandated GAAP accounting

Gabe Cowan 的头像
Gabe Cowan1 个月前

Love this post. BUT ALSO, these were genius investments that did very well. Alphabet also has genius investments in energy and quantum which will be coming on line in the next few years. We should factor in the whole truth which includes these amazing investments and that the compute used by Anthropic is from real consumer demand.

House Lannister 的头像
House Lannister1 个月前

I’m so tired of posts like this. All people need to do is read the cash flow statement when you’re concerned about the net income or balance sheet problems. The cash flow statement reconciles them. What matter is Google’s top line grew 24% while their Cloud business grew 80%+.

Steven Tuchner 的头像
Steven Tuchner1 个月前

Great bearish analysis. Do you think they are richer or poorer for investment in soacex and anthropic? I wonder. So zeroing out the profits is convenient for a stupid bear. Also fcf is negative because of investment in the future. If you don’t believe they will generate a return, sell the stock. But those of us who do believe will keep buying as you retards keep selling. You enjoy your 10% decline while we will enjoy a double in 3-4 years. Lastly. Remember that accelerated canon the data centre spending can be written off quickly. So in essence they are spending pretax money. Spacex can’t shelter shit.

killa kev 的头像
killa kev1 个月前

They’re forced to mark it. When a private company does a raise they have to to mark to the observable input. Spcx public so they have to mark at closing price every q. They would rather not mark them but account law dictates they do.

alex G 的头像
alex G1 个月前

$GOOGL marks Anthropic/SpaceX to market — that’s why it got a real revaluation gain this quarter. $MSFT uses equity-method accounting for OpenAI, not mark-to-market. Its one big gain was a one-off dilution gain from OpenAI’s Oct 2025 PBC conversion — already booked. So no, MSFT has no similar unrealized-gains cushion pending, unless OpenAI raises again.

Newton Jones 的头像
Newton Jones1 个月前

That’s cap ex related-D&A and interest expense. A .02c miss with the core business humming- is missing the broader point. You either believe ROIC in future years will materialize or you don’t. GOOGL’s management has been a terrific allocator of capital and they don’t throw this type of money around with a very high conviction ROIC will be there. The operating perform e of each business segment was above consensus and operating margins expanded YOY. Operating business is humming.

United Bananas 88 的头像
United Bananas 881 个月前

This sounds like the FASB accounting rule changes that affected how MSTR reported (or didn't report) their Bitcoin holdings. Investment holding changes should not be considered income. How dumb is this? It should just be reported as a separate line item so it doesn't swing earnings up and down like a roller coaster based on the unrealized gains/losses of investment assets.

Highcroft Investment Advisors 的头像
Highcroft Investment Advisors1 个月前

This isn’t new, Berkshire Hathaway has been doing that for years

Logic 的头像
Logic1 个月前

Yes, the $99b was on paper, but not their fault, it's accounting rule. $94 billion in $Spcx unrealized gain. Scored in June when Spacex=$135. Sure, SX down, but google still makes out like a bandit next quarter; same accounting rule turns the unrealized paper gain into realized gains over time. Googl paid $900 million for Spacex shares. Even at today's reduced SX price that's like $64billion! So the 3rd quarter goes from paper to hard cash.

the daily scalper 的头像
the daily scalper1 个月前

This is a great post mate

Macro Ghost on Youtube 的头像
Macro Ghost on Youtube1 个月前

Google’s $112 Billion Profit… But Is This All BS? $GOOG $GOOGL

凡愚 的头像
凡愚1 个月前

Cloud事業の好調は、バックログ5.8年分の$514Bの一括計上による演出だ。クライアントがキャンセル可能な数字だ。さらに簿外債務$410Bは本表に計上されてない。つまりネット・エクスポージャーはわずか$26Bしかなない。

aurea?veritas 的头像
aurea?veritas1 个月前

Great post

Cerberus 的头像
Cerberus1 个月前

This is not either surprising, obscure or profound. Every professional investor has known ahead of time that headline EPS isn't the one to consider. The whole thing is transparent and known which makes this post of yours a nothing burger

Derek Wilson 的头像
Derek Wilson1 个月前

It's mark to market, obviously. But you're an astute reading of financial statements and you've obviously have sniffed out something Buffet missed. Well done!

Late Stage Capitalism 的头像
Late Stage Capitalism1 个月前

So you are telling me that Google $GOOG has been an amazing capital allocator and has made billions in gains on investment and now they are borrowing money to invest in themselves and in their cloud business. Time to buy more $GOOG is what it sounds like.

Anjli 的头像
Anjli1 个月前

$99B of that "profit" is a mark, not cash that arrived. Years in distressed taught me the gap between what an asset is marked at and what it actually pays is where people get hurt. The market saw a paper gain dressed as earnings and sold. Rightly.

OIdman Ballsacks 的头像
OIdman Ballsacks1 个月前

Yeah its called accounting fraud.

Mark 的头像
Mark1 个月前

This is a COMPLETR BULLSHIT. Your investment is not counted as income? Are you brain damaged totally?

Smindi 的头像
Smindi1 个月前

The facts described in this post are accurate. But from an accounting standpoint, Alphabet had no choice. This was standard compliance under U.S. GAAP. The post zeroes in on a structural feedback loop that makes tech observers and investors uneasy: 👉​Google invests heavily in an AI partner (e.g., Anthropic). 👉​The AI partner commits billions to buy compute from Google Cloud. 👉​Google Cloud records surging revenue growth (+82%). 👉​The AI partner’s market valuation skyrockets based on that growth. 👉​Google marks up the value of its stake and books it as net profit on its own income statement. While entirely legal, this loop means vendor and investor relationships feed each other's valuations and income statements.

DT 的头像
DT1 个月前

This goes well beyond creative accounting… It’s securities fraud.

FrostByte 的头像
FrostByte1 个月前

Your analysis is nonsensical. This item is not included in their revenues, not included in their operating income, and their GAAP EPS came in at $2.95 vs. consensus of $2.87. $GOOG

UNSPOKEN 的头像
UNSPOKEN1 个月前

Yes, agreed. But it's not all negative. There are positives. PLUS $Goog reporting this as income is as per US GAAP rules. Point is they are visionary and invested wisely.

Aristotle Aquino 的头像
Aristotle Aquino1 个月前

It's called marking to market. Standard accounting.

pradeep budhera 的头像
pradeep budhera1 个月前

Did you also adjust tax line?

Brendan Gilbert 🚀📈📉 的头像
Brendan Gilbert 🚀📈📉1 个月前

Earnings quality matters more than headline numbers. Investors often look beyond reported profits to understand how much comes from core operations versus accounting gains, one-time items, or market value changes. Strong analysis focuses on cash flow, business performance, and sustainability. Stay informed with market insights: #Stocks #Investing #Markets #Finance

bill 的头像
bill1 个月前

All will get hair cut imo.

Swami Natarajan 的头像
Swami Natarajan1 个月前

@grok can verify the numbers and also explain how unrealized gain is shown as other income

vladechad 🐯 的头像
vladechad 🐯1 个月前

Q3 will be negative. Q4 will be positive.

Roni Weisman 的头像
Roni Weisman1 个月前

True. And this is why when assessing $GOOG and the like, it’s crucial to look beyond a single fundamental (like net profit) or a single quarter—you have to look at the big picture. Warren Buffett did exactly that this year, and I’m glad I did too back when the P/E was at 20👇

Amer Naveed 的头像
Amer Naveed1 个月前

It’s always more prudent to look at EBITDA or the cash flow statement as a whole rather than the P&L account as a whole. That reflects the cash position rather than notional figures.

Morning Star 的头像
Morning Star1 个月前

And here's where China's role as a rival player comes in, one that will bankrupt all American AI companies.

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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

208,631 次观看 • 3 个月前

Anthropic is asking the public for $2 trillion using a revenue number from…2028. That valuation would make it the largest stock market debut in history, ahead of SpaceX, which went public in June at $1.77 trillion. The company last raised privately in May at $965 billion. Investors now expect roughly DOUBLE that in October. And the unusual part is not the size here: Public companies are normally priced off the last 12 months of results, or at a stretch off next year's estimate. Reuters reported on Friday that bankers and investors are applying revenue multiples to Anthropic's forecast for 2028, which is more than two years past the deal. That forecast is $190 billion to $200 billion of annual revenue. It is more than four times the run rate the company disclosed in May. Before dismissing it, look at what the company has actually done, because the growth is not imaginary: Anthropic's annualized revenue run rate was around $9 billion at the end of 2025. By May it was $47 billion and it passed $65 billion at the end of July, a 7x increase inside a year. Second quarter revenue came in above $11.5 billion against roughly $787 million in the same quarter of 2025. The company projected its first quarterly operating profit of $559 million. Investors expect the run rate to reach $100 billion to $120 billion before the year closes. By comparison, OpenAI's run rate sat near $40 billion at the end of July, around 60% of Anthropic's. So the growth is real. But the question is whether anyone can price three more years of it. Because the things that could bend that curve are already visible today: Anthropic's top model costs more than two and a half times OpenAI's flagship. Chinese open-weight models deliver usable performance at a fraction of either price. And revenue growth slowed in June when the Commerce Department temporarily restricted exports of the company's best models, which is a reminder that a single government decision can reach directly into the forecast. Now look at what the multiple HAS to be… Palantir trades at 53 times expected 2026 revenue, which already makes it one of the most expensive stocks on the market. Cloudflare and SpaceX both sit near 41.6 times. Those are the reference points bankers are using. One investor told the Financial Times that a company growing at 800% a year should command at least 30 times revenue, which on their own math points to $3 trillion rather than two. And there is one more thing worth holding onto: Anthropic filed confidentially with the SEC in June and has been in a quiet period since. Every figure in this post reached the public through people speaking anonymously, and the company has declined to comment on all of it. So the largest listing ever attempted is being marketed to public investors through numbers none of them can independently check, against a forecast for a year that has not started yet. This is becoming the house style of the 2026 IPO market rather than a one-off. Cerebras priced its listing on ramping infrastructure demand. SpaceX built its debut around an addressable market model that reached years past its actual financials. Both asked buyers to fund a shape rather than a result. Anthropic is the biggest version of that trade anyone has attempted. The bull case is straightforward and it MIGHT be correct: A business compounding this fast, already turning an operating profit, selling into enterprises that are rebuilding their workflows around it, may look cheap at $2 trillion in three years. The bear case is equally simple: Every dollar of that valuation above the current run rate is a forecast, and whoever buys the stock in October is the one holding that forecast if the curve bends. Do you believe in Anthropic?

Ricardo

18,076 次观看 • 28 天前

Warren Buffett just poured $31 BILLION into a stock he swore off for decades. He refused to touch a single tech company for 60 years. Now he's admitting it was his biggest regret. Here is why he finally changed his mind: For decades, Buffett had one simple rule: Only buy businesses you understand, at a fair price. Tech never fit. It moved too fast and was too easy to lose money in. He watched Google go from startup to over $2 trillion and never bought in. He called it one of his biggest mistakes ever. Then something changed: In late 2025, Berkshire quietly started buying Alphabet shares. Alphabet is the company that owns Google, YouTube, and Google Cloud. By mid 2026, the stake had exploded. On June 1, Alphabet raised $80 billion to build AI data centers. Buffett put in $10 billion of it directly. Today Alphabet is one of Berkshire's five largest positions, worth about $31 billion. On July 15, Buffett went on live TV and admitted it was his idea, not his successor's. So why did the man who avoids tech finally break his own rule? > The numbers. In April, Alphabet reported earnings that stunned Wall Street: > Profit per share came in at $5.11 > Analysts expected $2.63 > Revenue hit $109.9 billion, up nearly 22% in a year. > Google Cloud grew 63%. > Its backlog of future cloud orders reached $460 billion. That is real money coming in the door. But here's the part people missed: Even Buffett admitted the business has a problem. Alphabet is spending up to $185 billion this year on AI. That spending cut its free cash flow by 47% in a single quarter. He bought anyway, because the profits were real, the price was fair, and the moat was wide. He waited over 20 years for the math to make sense. Then he moved with total conviction. Now compare that to how most people invest in AI. They chase whatever is going up. They buy on hype, headlines, and fear of missing out. They pile into names they do not understand. Then they panic the moment the story wobbles. Buffett did the opposite: - He ignored the noise for two decades - He waited for the fundamentals to line up, and - He only acted when the rules said yes That is the whole game. It runs on a system that waits for the setup, not emotion. Most people cannot do that on their own. They feel the fear and they act on it. The fix is to take the emotion out completely. That is exactly what Surmount was built for. Automated, rules-based strategies that buy on logic, not feelings. So when the next great setup arrives, you are already positioned.

Surmount

12,298 次观看 • 1 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

24,389 次观看 • 1 个月前

This is WILD! Anthropic just became the most valuable AI company on earth and what Chamath said months ago explains exactly why this moment matters (Save this). Anthropic closed a $65 billion Series H round at a $965 billion post-money valuation surpassing OpenAI's $852 billion valuation from March and making Anthropic the highest-valued private company in history. Just three months ago, in February, Anthropic had raised $30 billion at a $380 billion valuation meaning the company nearly tripled in value in a single quarter. Claude's run rate revenue crossed $47 billion today, up from $30 billion in April, up from $9 billion at the end of 2025, a pace of revenue growth that has no comparable precedent in business history. Now go back and watch what Chamath said, because he called the entire arc of this. "I've never seen a business like this. And I'd say the same thing about Anthropic. Nobody in the history of the world has ever seen two businesses like this at this scale. These are trillion dollar companies. They both are. And they both deserve to be." He said that before the $965 billion number. Chamath Palihapitiya also said something that most people skipped over, that OpenAI and Anthropic need to get public as fast as humanly possible because of what happens after. Chamath laid out a specific sequencing thesis, SpaceX goes public first and does great, the next company does good to great, then appetite runs out, because the market simply cannot absorb trillions of dollars of new demand in rapid succession. Today, Anthropic's $65 billion round may be precisely the move that locks in its position before that window narrows fortifying the balance sheet before the public markets get crowded. But Chamath's deeper warning cuts through the celebration, once SpaceX, OpenAI, and Anthropic are all public, the AI technology baked into all three will cannibalize the moats of every other tech company, compressing tech sector P/E ratios toward non-tech levels and making the software businesses of the last decade obsolete. "It will eliminate and it will cannibalize and it will erode most of the moats that support this differential trading," he said directly. "I'll buy the first five or six years of this story, but I'm not buying year 15 of this anymore because these three guys are going to build something." The companies getting valued at near-$1 trillion today are not just winning but rather are the instruments by which everything else eventually gets repriced.

Milk Road AI

293,469 次观看 • 3 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 • 3 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 • 3 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

726,189 次观看 • 7 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

162,447 次观看 • 4 个月前

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 explain what the bulls aren't telling you and why this will end HORRIBLY: Oracle's non-current debt has ballooned to $124.7 billion. Up from $85.3 billion a year ago. A 46% increase in 12 months. Total liabilities sit at $206 billion against shareholders' equity of $39 billion. That's a 5-to-1 leverage ratio on a company being pitched as a "safe" infrastructure play. But that $124.7 billion isn't even the full picture... Oracle has been using project financing structures (loans repaid from projected future cashflow) to keep tens of billions more in borrowing off its balance sheet entirely. So when analysts quote Oracle's debt load, they're UNDERSTATING the actual exposure by a meaningful margin. Interest expense jumped 32% YOY. Free cash flow is negative $24.7 billion on a trailing basis. The company is spending $48 billion a year in capex while generating roughly $17 billion in operating cash flow. They issued $43 billion in senior notes in 9 months. They are borrowing at a pace that would make a leveraged buyout firm nervous. And what did they get for all that spending? They fired 30,000 people. On March 31st, Oracle sent an email at 6 AM to tens of thousands of employees telling them their roles were eliminated. 18% of the global workforce gone in a single morning. TD Cowen estimates the layoffs save $8 to $10 billion in annual cash flow. Which tells you everything about the math: Oracle can't fund $50 billion in AI capex AND keep 162,000 people on payroll. So the people went. Net income was up 95% last quarter. The stock is still down 47% from its high. Mr. Market is telling you something. The earnings look great on paper partly because Oracle extended the useful life of its servers to 6 years, reducing depreciation expense by billions. I've been flagging this accounting game across the hyperscalers for months. It flatters the income statement while the balance sheet quietly deteriorates. Now let's talk about the $553 billion in Remaining Performance Obligations that every bull cites as the "reason" to own this stock: Roughly $300 billion of that is a SINGLE contract with OpenAI through the Stargate project. Revenue doesn't start flowing until 2027. And OpenAI itself expects to lose over $167 billion through 2028 even if it hits $100 billion in annual revenue. So Oracle is borrowing $125+ billion to build data centers for a customer that cannot even fund its own operations. And the data centers themselves are significantly behind schedule: The flagship Stargate campus in Abilene has been under construction since mid-2024. 2 years later, only 2 of 8 planned buildings are operational, covering about 200 megawatts of the planned 1.2 gigawatts. The remaining Stargate sites across Wisconsin, New Mexico, Michigan, and other locations are in the earliest stages of development. The total estimated cost to build out Oracle's 7 gigawatts of planned Stargate capacity runs around $340 billion. And lenders are already getting nervous. The Wall Street Journal reported that additional capacity at Abilene originally earmarked for OpenAI ended up going to Microsoft instead - because the banks financing the build were uncomfortable with their credit exposure to OpenAI as the ultimate customer. When your LENDERS don't trust your tenant's ability to pay, then there's SERIOUS issue. And by the time those data centers are fully built, the GPUs inside them will already be approaching obsolescence anyway. Nvidia releases new architectures annually. Each generation delivers dramatically more compute per watt. The hardware goes obsolete in 3 years but the debt used to buy it gets repaid over a much longer horizon. The AI infrastructure buildout is a treadmill, not a revolution. Oracle is the purest expression of that thesis. - $206 billion in reported liabilities. - Billions more hidden off-balance-sheet. - Negative $25 billion in free cash flow. - 30,000 people fired to fund the capex. - A single unprofitable customer behind over half the backlog. - Data centers years behind schedule. And 35 analysts saying buy. This doesn't sound right, does it?

George Noble

58,284 次观看 • 4 个月前

BREAKING: Michael Burry just compared Nvidia to the company that lost 90% of its value in the dot-com crash and took 25 years to recover. "I stand by my analysis. I am not claiming Nvidia is Enron. It is clearly Cisco." Here's the most recent warning from the investor who called the 2008 crash: Michael Burry built his reputation on one trade. He saw the housing market collapse before anyone else and bet against it. "The Big Short" made him famous. Now he's looking at Nvidia. And he says it looks like Cisco in March 2000. That comparison is not a casual insult. Cisco was the most valuable company in the world at the peak of the dot-com bubble. Its valuation crossed $500 billion. Then the bubble burst. The stock fell roughly 90% from its 2000 peak. Its market cap collapsed to about $60 billion by 2002. And it took roughly 25 years for the stock to climb back to where it started. An entire generation of investors waited a quarter century just to break even. That is the company Burry is comparing Nvidia to. Now here is the number that triggered the warning. In Nvidia's fiscal 2026 results, the company disclosed its purchase obligations. These are the commitments Nvidia makes to its suppliers to lock in future manufacturing capacity. A year ago, that figure sat at $16.1 billion. This year it jumped to $95.2 billion. Total supply obligations now sit at roughly $117 billion. Nvidia is committing $117 billion to build capacity for demand that has not arrived yet. Burry's argument is simple. A company does not lock in $117 billion in supplier commitments unless it is betting the demand keeps climbing. If that demand slows even slightly, Nvidia is holding billions in obligations it cannot unwind. And that is exactly what happened to Cisco. Cisco overcommitted to supplier capacity expecting roughly 50% annual growth. Then tech spending slowed. The inventory piled up. The stock cratered. Burry is not calling Nvidia a fraud. He is not saying it is the next Enron. He is saying it could be the market's Cisco. The single stock that becomes the symbol of an AI spending unwind that drags everything down with it. And the dot-com comparison carries weight because of what happened to the broader market. When that bubble burst, the Nasdaq 100 fell 77%. The S&P 500 dropped 49%. It was not just one stock. It was the whole market. Now here is the other side of the argument. Nvidia's supporters say the Cisco comparison is too simple. Because Cisco was riding hype. Nvidia is riding actual revenue. Nvidia reported fiscal 2026 revenue of $215.9 billion, up 65% year over year. Data center revenue alone hit roughly $193.7 billion, up 68%. Record quarterly data center revenue of $62.3 billion in the fourth quarter, up 75%. These are not promises. These are realized sales, booked and collected. The bulls argue that pricing power and margins this strong do not exist inside a pure bubble. In their view, Burry is warning about a future slowdown that has not shown up in a single quarterly report. So the debate splits into two clean halves. The bears say the $117 billion in commitments makes Nvidia dangerously sensitive to any demand slowdown. The bulls say the revenue is real, the growth is accelerating, and the buildout is justified by the orders already on the books. Both sides are looking at the same company. Both sides are looking at the same numbers. They just disagree on what those numbers mean. And there is a second force pulling at this market that has nothing to do with Nvidia's earnings. A wave of mega-IPOs is reportedly coming. SpaceX. OpenAI. Anthropic. Some estimates suggest the market may need to absorb close to $200 billion in fresh equity supply. That creates a quieter question underneath the Burry debate. Even if AI demand stays strong, capital is finite. When the next wave of private giants goes public, money has to come from somewhere. And the easiest place to pull it from is the stock that already tripled. The real test is not whether Burry is right or wrong today. It is whether demand growth, margins, and contract utilization keep matching the $117 billion that Nvidia and its entire ecosystem are committing right now. If the demand keeps climbing, the commitments look like foresight. If it stalls, they look like Cisco. The man who saw the last crash before anyone else just put a name on the risk. A company that was once worth over $500 billion, then lost 90%, then made its investors wait 25 years to get back to even. The numbers say Nvidia is booking record revenue. The same numbers say Nvidia is committing $117 billion to a future nobody can see. One of those facts ages well. The other one is the entire question.

Insider Trackers

285,396 次观看 • 3 个月前

Anthropic just told Wall Street that replacing human workers is worth $30 trillion a year. The largest IPO ever is about to go on sale, and the product being sold is "replacing jobs.“ $30 trillion is bigger than the entire economy of China. It's about the size of the whole United States economy, which runs around $32.5 trillion a year. And it's roughly a quarter of every dollar earned on this planet. Anthropic is telling investors that's the market. Now here's the part nobody explained: Companies usually size a market by counting an industry. They add up the software licences, the cloud contracts, the subscriptions, whatever that category buys in a year. But Anthropic did something else… They built the $30 trillion figure from the full scope of work that could be completed using AI models. So the market Anthropic sized is the world's wage bill. And this is where it gets really interesting: Anthropic's revenue right now runs about $65 billion a year, up from roughly $9 billion at the end of 2025. So Anthropic is telling investors it has captured 0.2% of its own market. The 191 technology companies in the S&P 1500 made $2.4 trillion in revenue last year. That's EVERY listed tech company added together. Anthropic is claiming a market TWELVE times bigger than all of them combined. That $30 trillion is doing one job here: Making the price look reasonable. Anthropic wants a valuation near $2 trillion and a raise of up to $100 billion, which would beat the $86.2 billion SpaceX pulled in the biggest IPO in history. Against $30 trillion, a $2 trillion price is basically nothing. Without it, you're buying a company with $65 billion in sales for $2 trillion. Then look at who steers the thing afterwards: Dario Amodei owns roughly 2% of Anthropic. Before the listing, Amodei and his co-founders are getting a special class of stock with extra voting power. The trust that appoints most of the board just dropped from four trustees to three. So whoever buys into the biggest IPO in history gets no vote and no board seat. And the insiders may get to sell into it. Anthropic is weighing letting existing shareholders cash out inside the offering, which SpaceX refused to allow. We watched this exact thing play out three months ago: SpaceX told investors its market was $28.5 trillion, priced at $135 a share in June, and traded under $105 in early August. Uber ran the same play in 2019 with a $6 trillion market. But the revenue here is real, and that's what makes it so hard to dismiss. Anthropic grew 7x in 7 months. Serious funds will ignore the $30 trillion completely and model the near-term target of roughly $200 billion in sales by the end of the decade. The $30 trillion is aimed at everyone else reading the headline. And Anthropic is a public benefit corporation. Amodei warned in his own essay this year about "a level of wealth concentration that will break society." He's predicted AI could wipe out half of all entry-level white-collar jobs. Job candidates are reportedly even asked how they'd feel if the company killed its own product on safety grounds and the stock went to zero. Anthropic took its name from anthropos, the Greek word for human being. And the pitch it's carrying to Wall Street is that its software can do the work humans currently get paid for. If Anthropic ever collects a real slice of that $30 trillion, it has to come out of wages somebody is getting paid today.

Ricardo

33,678 次观看 • 15 天前

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

71,148 次观看 • 1 个月前