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🚨 DOTCOM IS BACK AND MATH PROVES IT 🚨 Look at the actual numbers NVIDIA valuation: $5.19T NVIDIA revenue: $80B Walmart valuation: $960B Walmart revenue: $680B NVIDIA is worth 5x more than Walmart while earning 8x less Now think about what's actually driving S&P 500 higher

NoName

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🚨 S&P 500 IS NOT 500 COMPANIES ANYMORE 🚨 Think you're diversified? Look close Five companies make up 28% of the entire index NVIDIA alone is bigger than the whole energy sector And these five aren't independent bets. They're funding each other 1. NVIDIA invests in OpenAI 2. OpenAI pays Amazon 3. Amazon buys NVIDIA chips 4. NVIDIA books revenue 5. Stock pumps 6. Loop repeats That's not growth. That's a closed circuit pretending to be an economy Now look at how fast crashes are getting "fixed": - Dotcom: 1,166 days to recover - COVID: 103 days - 2025 tariffs: 55 days - 2026 Iran conflict: 11 days Every dip trained the market to buy the next one harder But OpenAI is losing $14B a year CAPE ratio is at dotcom levels. Strip out AI and the S&P is 25% lower The index looks healthy. The foundation doesn't Keep it in mind NOTIFS ON!

🚨 S&P 500 IS NOT 500 COMPANIES ANYMORE 🚨 Think you're diversified? Look close Five companies make up 28% of the entire index NVIDIA alone is bigger than the whole energy sector And these five aren't independent bets. They're funding each other 1. NVIDIA invests in OpenAI 2. OpenAI pays Amazon 3. Amazon buys NVIDIA chips 4. NVIDIA books revenue 5. Stock pumps 6. Loop repeats That's not growth. That's a closed circuit pretending to be an economy Now look at how fast crashes are getting "fixed": - Dotcom: 1,166 days to recover - COVID: 103 days - 2025 tariffs: 55 days - 2026 Iran conflict: 11 days Every dip trained the market to buy the next one harder But OpenAI is losing $14B a year CAPE ratio is at dotcom levels. Strip out AI and the S&P is 25% lower The index looks healthy. The foundation doesn't Keep it in mind NOTIFS ON!

NoName

50,383 views • 3 months ago

🚨 NVIDIA IS GETTING HIT FROM BOTH SIDES CHINA JUST COMPLETELY BANNED NVIDIA CHIPS BEIJING CANCELED THE GREEN LIGHT FOR TOP CHINESE COMPANIES TO BUY $NVDA CHIPS CHINA WOULD RATHER BUILD ITS OWN AI SUPPLY CHAIN THAN DEPEND ON AMERICA AT THE SAME TIME, NVIDIA CUT ITS INITIAL SUPPORT FOR OPENAI’S OHIO DATA CENTER FROM $250 BILLION TO LESS THAN $120 BILLION CHINA IS BACKING AWAY FROM NVIDIA AND NVIDIA IS STARTING TO BACK AWAY FROM THE AI BOOM THIS IS NOT JUST ABOUT ONE CHIPMAKER THE ENTIRE AI TRADE IS STARTING TO CHANGE

🚨 NVIDIA IS GETTING HIT FROM BOTH SIDES CHINA JUST COMPLETELY BANNED NVIDIA CHIPS BEIJING CANCELED THE GREEN LIGHT FOR TOP CHINESE COMPANIES TO BUY $NVDA CHIPS CHINA WOULD RATHER BUILD ITS OWN AI SUPPLY CHAIN THAN DEPEND ON AMERICA AT THE SAME TIME, NVIDIA CUT ITS INITIAL SUPPORT FOR OPENAI’S OHIO DATA CENTER FROM $250 BILLION TO LESS THAN $120 BILLION CHINA IS BACKING AWAY FROM NVIDIA AND NVIDIA IS STARTING TO BACK AWAY FROM THE AI BOOM THIS IS NOT JUST ABOUT ONE CHIPMAKER THE ENTIRE AI TRADE IS STARTING TO CHANGE

Leshka.eth ⛩

43,391 views • 15 days ago

Skild AI is now worth $14B!! - about 3 times the $4.5B valuation from the last funding round reported to have closed six months ago The company has just announced raising $1.4B in Series C funding at a $14B valuation led by SoftBank, with participation from NVIDIA, Macquarie Capital, and Jeff Bezos. Other notable investors include LG, Samsung, and Salesforce Ventures. In 2025, the company grew from zero to approximately $30M in revenue in just a few months. Skild is building an omni-bodied brain to control any robot for any task.

Skild AI is now worth $14B!! - about 3 times the $4.5B valuation from the last funding round reported to have closed six months ago The company has just announced raising $1.4B in Series C funding at a $14B valuation led by SoftBank, with participation from NVIDIA, Macquarie Capital, and Jeff Bezos. Other notable investors include LG, Samsung, and Salesforce Ventures. In 2025, the company grew from zero to approximately $30M in revenue in just a few months. Skild is building an omni-bodied brain to control any robot for any task.

The Humanoid Hub

12,980 views • 7 months ago

Apollo CEO Marc Rowan on how private and public markets have slowly converged over his 41 years of experience in finance Worth a listen "When people look at their portfolios and they own equity today, then own it through S&P 500 indices. Do they own the US economy? No. They own 10 stocks. Just ten stocks are 40% of the index, and most of their returns over the past few years has been one company: NVIDIA. NVIDIA is now larger than the stock market of every country in the world, other than Japan. NVIDIA is a perfectly fine company, but the notion of equity investing was about diversified portfolios. We don't have that"

Apollo CEO Marc Rowan on how private and public markets have slowly converged over his 41 years of experience in finance Worth a listen "When people look at their portfolios and they own equity today, then own it through S&P 500 indices. Do they own the US economy? No. They own 10 stocks. Just ten stocks are 40% of the index, and most of their returns over the past few years has been one company: NVIDIA. NVIDIA is now larger than the stock market of every country in the world, other than Japan. NVIDIA is a perfectly fine company, but the notion of equity investing was about diversified portfolios. We don't have that"

Boring_Business

134,453 views • 7 months ago

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.

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

285,273 views • 3 months ago

🚨 SOMEONE SHOW THIS TO NVIDIA BULLS 🚨 Left chart: Cisco in 2000 Right chart: Nvidia in 2026 Take a minute and actually look at them In 2000 Cisco was the most important company in the world The internet was going to change everything. Everyone knew it. Everyone bought it They were right about the internet. Cisco still dropped 86% The same story is playing out today with AI and Nvidia Nobody is saying AI isn't real, BUT: - Warren Buffett sitting on record cash - Michael Burry publicly comparing this to 1999 - Insider selling at levels not seen in years The green candles make it hard to see what's coming That's exactly how every bubble works right before it ends NOTIFS ON!

🚨 SOMEONE SHOW THIS TO NVIDIA BULLS 🚨 Left chart: Cisco in 2000 Right chart: Nvidia in 2026 Take a minute and actually look at them In 2000 Cisco was the most important company in the world The internet was going to change everything. Everyone knew it. Everyone bought it They were right about the internet. Cisco still dropped 86% The same story is playing out today with AI and Nvidia Nobody is saying AI isn't real, BUT: - Warren Buffett sitting on record cash - Michael Burry publicly comparing this to 1999 - Insider selling at levels not seen in years The green candles make it hard to see what's coming That's exactly how every bubble works right before it ends NOTIFS ON!

NoName

18,375 views • 3 months ago

Bloomberg warns that China’s AI price war may make profitability difficult for years. They should be more worried about Wall Street. If the price war continues, the real casualty may not be AI. It may be the entire valuation structure built around it. OpenAI and Anthropic are valued as though frontier intelligence will remain scarce, expensive, and capable of producing software-like margins. Hyperscalers are spending hundreds of billions on infrastructure based on that assumption. Nvidia’s valuation depends on those capital expenditures continuing for years. But Chinese models are driving token prices toward commodity levels. Usage can explode while revenue per token collapses. The servers become busier. The models become cheaper. The profits fail to appear. Nvidia has real revenue and real margins, so it is not the weakest link. But even Nvidia is priced on the belief that today’s extraordinary AI capital expenditure will remain economically justified. If cheaper models, better efficiency, and open weights destroy the expected returns on that infrastructure, Wall Street will not merely reprice OpenAI and Anthropic. It will reprice the entire AI chain. America built the AI bubble on Nvidia. Nvidia built its empire on TSMC. Taiwan built its economic security around TSMC. If Chinese efficiency destroys the economics of brute-force AI, the repricing will not stop in Silicon Valley. It will cross the Pacific and land in Hsinchu. AI may continue transforming the world while the AI bubble collapses. The internet survived 2000. The valuations did not.

Bloomberg warns that China’s AI price war may make profitability difficult for years. They should be more worried about Wall Street. If the price war continues, the real casualty may not be AI. It may be the entire valuation structure built around it. OpenAI and Anthropic are valued as though frontier intelligence will remain scarce, expensive, and capable of producing software-like margins. Hyperscalers are spending hundreds of billions on infrastructure based on that assumption. Nvidia’s valuation depends on those capital expenditures continuing for years. But Chinese models are driving token prices toward commodity levels. Usage can explode while revenue per token collapses. The servers become busier. The models become cheaper. The profits fail to appear. Nvidia has real revenue and real margins, so it is not the weakest link. But even Nvidia is priced on the belief that today’s extraordinary AI capital expenditure will remain economically justified. If cheaper models, better efficiency, and open weights destroy the expected returns on that infrastructure, Wall Street will not merely reprice OpenAI and Anthropic. It will reprice the entire AI chain. America built the AI bubble on Nvidia. Nvidia built its empire on TSMC. Taiwan built its economic security around TSMC. If Chinese efficiency destroys the economics of brute-force AI, the repricing will not stop in Silicon Valley. It will cross the Pacific and land in Hsinchu. AI may continue transforming the world while the AI bubble collapses. The internet survived 2000. The valuations did not.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

13,953 views • 27 days ago

Nvidia $NVDA at 15x forward is not expensive. Dan Loeb's math. Reflexive take after 40% YTD: take profits. Dan Loeb (Daniel S. Loeb ) ran the numbers instead. Nvidia at 15x 2027, 12x 2028. He calls it the most attractive sector right now — unless you're "really draconian" and think AI spend craters in 2031. He doesn't buy it. Hyperscalers fund CapEx off their own balance sheets while growing real cash flow. That is not dot-com. For anyone benchmarking semis exposure after a big run: here's why a 30-year macro investor held. Full semiconductor and hyperscaler thesis:

Nvidia $NVDA at 15x forward is not expensive. Dan Loeb's math. Reflexive take after 40% YTD: take profits. Dan Loeb (Daniel S. Loeb ) ran the numbers instead. Nvidia at 15x 2027, 12x 2028. He calls it the most attractive sector right now — unless you're "really draconian" and think AI spend craters in 2031. He doesn't buy it. Hyperscalers fund CapEx off their own balance sheets while growing real cash flow. That is not dot-com. For anyone benchmarking semis exposure after a big run: here's why a 30-year macro investor held. Full semiconductor and hyperscaler thesis:

Podcast Alpha

62,023 views • 3 months ago

Jensen Huang just admitted the biggest AI labs can't borrow money like normal companies. So Nvidia signs for them, and they spend it on Nvidia chips. Nvidia reported Wednesday and the numbers are absurd: Revenue of $96.2 billion, up 106%, with net income of $59.7 billion, the most profitable quarter any public company has EVER posted. And Huang just told Fox Business that every chip Nvidia can make next year is already sold. Here's why this matters the most: Huang wrote this himself about his own customers: "Frontier AI labs have extraordinary demand for training and inference compute, but many are growing faster than their balance sheets and long-term credit profiles can support." Then: They "still lack the decades-long infrastructure contracts and investment-grade financing capacity needed to secure the AI factory infrastructure independently." Put simply: His customers can't get the loans. So Nvidia signs for them. There's a compute campus going up in Ohio with OpenAI as the tenant. Nvidia has tied roughly $105 billion in commitments to it. OpenAI's existing and planned commitments now come to about 12 gigawatts of Nvidia compute. CFO Colette Kress told analysts Nvidia will also provide selective credit enhancement for nearly 2 gigawatts of compute at a second frontier lab. She wouldn't say which one. Nvidia put up to $10 billion into Anthropic in November at a valuation near $350 billion, and Anthropic agreed to buy up to a gigawatt of Grace Blackwell and Vera Rubin systems in the same deal. And Nvidia isn't only guaranteeing these companies. It OWNS pieces of them. This week's filing shows $18 billion committed to equity investments for the rest of the fiscal year, and $47.9 billion already sitting in private companies as of late July. Now here's where it gets really insane: Last week, Huang sat on a CNBC set surrounded by six of Wall Street's biggest firms. Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. They signed a memorandum to mobilise up to $500 billion in outside capital for AI data centres. Nvidia kept the option to backstop up to a quarter of those deals. And Huang used that stage to announce that Nvidia GPUs are now an asset class. Pension and credit funds can now lend against graphics cards the way they lend against office towers. Kress saw the accusation coming and got ahead of it on the earnings call: "We recognise the scale of this support, and we know some will call this circular financing. We see it differently." But look at the two things Huang says about the same companies. On the earnings call he said AI has hit its inflection point, that the tokens are productive and profitable, and that compute is now revenue. But he also said those same labs can't secure investment-grade financing on their own. A business that's inflecting into profit is exactly the business a bank lends to. Banks lend against cash flow every day. But Nvidia‘s guarantee exists because something in that first story isn't landing with the people whose job is pricing risk. Kress does have a real answer to this though. She said the second lab's credit support only complements capacity it already secured on its own, without Nvidia backing it. Vendor financing is also old and legal. Cisco did it and GE built a finance arm on it. Huang's case is that Nvidia understands these businesses better than any lender could, and he says the risk is low and his only regret is not investing more and sooner. He may be completely right. But one thing is certain: Nvidia guarantees the paper. The paper buys the chips. Nvidia books the sale. Then Nvidia tells you the order book is full for a year. That order book is the entire argument for a $5 trillion company. And Jensen Huang just explained, in his own words, that his customers couldn't have written those orders without him. Isn’t this suspicious?

Jensen Huang just admitted the biggest AI labs can't borrow money like normal companies. So Nvidia signs for them, and they spend it on Nvidia chips. Nvidia reported Wednesday and the numbers are absurd: Revenue of $96.2 billion, up 106%, with net income of $59.7 billion, the most profitable quarter any public company has EVER posted. And Huang just told Fox Business that every chip Nvidia can make next year is already sold. Here's why this matters the most: Huang wrote this himself about his own customers: "Frontier AI labs have extraordinary demand for training and inference compute, but many are growing faster than their balance sheets and long-term credit profiles can support." Then: They "still lack the decades-long infrastructure contracts and investment-grade financing capacity needed to secure the AI factory infrastructure independently." Put simply: His customers can't get the loans. So Nvidia signs for them. There's a compute campus going up in Ohio with OpenAI as the tenant. Nvidia has tied roughly $105 billion in commitments to it. OpenAI's existing and planned commitments now come to about 12 gigawatts of Nvidia compute. CFO Colette Kress told analysts Nvidia will also provide selective credit enhancement for nearly 2 gigawatts of compute at a second frontier lab. She wouldn't say which one. Nvidia put up to $10 billion into Anthropic in November at a valuation near $350 billion, and Anthropic agreed to buy up to a gigawatt of Grace Blackwell and Vera Rubin systems in the same deal. And Nvidia isn't only guaranteeing these companies. It OWNS pieces of them. This week's filing shows $18 billion committed to equity investments for the rest of the fiscal year, and $47.9 billion already sitting in private companies as of late July. Now here's where it gets really insane: Last week, Huang sat on a CNBC set surrounded by six of Wall Street's biggest firms. Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. They signed a memorandum to mobilise up to $500 billion in outside capital for AI data centres. Nvidia kept the option to backstop up to a quarter of those deals. And Huang used that stage to announce that Nvidia GPUs are now an asset class. Pension and credit funds can now lend against graphics cards the way they lend against office towers. Kress saw the accusation coming and got ahead of it on the earnings call: "We recognise the scale of this support, and we know some will call this circular financing. We see it differently." But look at the two things Huang says about the same companies. On the earnings call he said AI has hit its inflection point, that the tokens are productive and profitable, and that compute is now revenue. But he also said those same labs can't secure investment-grade financing on their own. A business that's inflecting into profit is exactly the business a bank lends to. Banks lend against cash flow every day. But Nvidia‘s guarantee exists because something in that first story isn't landing with the people whose job is pricing risk. Kress does have a real answer to this though. She said the second lab's credit support only complements capacity it already secured on its own, without Nvidia backing it. Vendor financing is also old and legal. Cisco did it and GE built a finance arm on it. Huang's case is that Nvidia understands these businesses better than any lender could, and he says the risk is low and his only regret is not investing more and sooner. He may be completely right. But one thing is certain: Nvidia guarantees the paper. The paper buys the chips. Nvidia books the sale. Then Nvidia tells you the order book is full for a year. That order book is the entire argument for a $5 trillion company. And Jensen Huang just explained, in his own words, that his customers couldn't have written those orders without him. Isn’t this suspicious?

Ricardo

61,238 views • 3 days ago

FTC documents show Pepsi is price fixing The FTC looked at internal emails with Pepsi and Walmart, they found they act as one company and Pepsi even takes action against grocery stores and other chains like Target if they price Pepsi as cheaply as Walmart does “The FTC looked at a bunch of internal Pepsi emails and communications. The executives at Pepsi would talk about Walmart's prices as our prices. As if this is, this is all one big company — Big rivals like Target, small mom and pop shops, regional chains, everywhere it could keep an eye on it, it did. And where it found that Pepsi prices in those other stores were getting low enough to really compete with Walmart, with all of the discounts and all of the other things that it was giving Walmart, it took action against those other stores. What does that look like? It reduced their deals, it reduced the discounts they were giving these other retailers. It even increased their wholesale prices, started to kind of ratchet it up more and more every year so that the price of Pepsi products at every other store that wasn't a Walmart were artificially higher for the consumer than they would have been if there was actual competition between Walmart and these stores. These stores wanted to push the prices down, but Pepsi simply wouldn't let them by charging them more” This is price fixing and illegal

FTC documents show Pepsi is price fixing The FTC looked at internal emails with Pepsi and Walmart, they found they act as one company and Pepsi even takes action against grocery stores and other chains like Target if they price Pepsi as cheaply as Walmart does “The FTC looked at a bunch of internal Pepsi emails and communications. The executives at Pepsi would talk about Walmart's prices as our prices. As if this is, this is all one big company — Big rivals like Target, small mom and pop shops, regional chains, everywhere it could keep an eye on it, it did. And where it found that Pepsi prices in those other stores were getting low enough to really compete with Walmart, with all of the discounts and all of the other things that it was giving Walmart, it took action against those other stores. What does that look like? It reduced their deals, it reduced the discounts they were giving these other retailers. It even increased their wholesale prices, started to kind of ratchet it up more and more every year so that the price of Pepsi products at every other store that wasn't a Walmart were artificially higher for the consumer than they would have been if there was actual competition between Walmart and these stores. These stores wanted to push the prices down, but Pepsi simply wouldn't let them by charging them more” This is price fixing and illegal

Wall Street Apes

98,740 views • 8 months ago

🚨 Do you understand what you're looking at right now? $1,000,000,000,000. Count the zeros. Twelve. That's not a company's valuation. That's not a market cap... That's ONE MAN'S revenue prediction. For selling chips.. > Jensen Huang just said Nvidia will make $1 trillion from AI chips by 2027.. One trillion dollars. From one product. In one industry. That didn't exist 3 years ago.. > Every company fighting the AI war - OpenAI, Google, Meta, Amazon, xAI - is buying their weapons from the same arms dealer.. > Nvidia doesn't care who wins. They sell bullets to every side. > DeepSeek wiped $600B off Nvidia in January.. Jensen recovered in two weeks and just came back asking for a trillion.. This man doesn't flinch. The entire AI revolution has one chokepoint. One company. One man. One leather jacket. And he just named his price.

🚨 Do you understand what you're looking at right now? $1,000,000,000,000. Count the zeros. Twelve. That's not a company's valuation. That's not a market cap... That's ONE MAN'S revenue prediction. For selling chips.. > Jensen Huang just said Nvidia will make $1 trillion from AI chips by 2027.. One trillion dollars. From one product. In one industry. That didn't exist 3 years ago.. > Every company fighting the AI war - OpenAI, Google, Meta, Amazon, xAI - is buying their weapons from the same arms dealer.. > Nvidia doesn't care who wins. They sell bullets to every side. > DeepSeek wiped $600B off Nvidia in January.. Jensen recovered in two weeks and just came back asking for a trillion.. This man doesn't flinch. The entire AI revolution has one chokepoint. One company. One man. One leather jacket. And he just named his price.

Tuki

94,228 views • 5 months ago

Nvidia just made its biggest acquisition ever... A small startup. On Christmas Eve. While everyone was distracted. The startup is Groq. They make AI chips that run faster than Nvidia's. In September, Groq raised $750 million at a $6.9 billion valuation. Investors included BlackRock, Samsung, Cisco, and Donald Trump Jr.'s fund 1789 Capital. Yesterday, Nvidia paid $20 billion for them. That's a 3x markup in 90 days. Trump Jr. just made a fortune overnight. But the money isn't even the craziest part... Nvidia dominates AI chips. They have 90%+ market share. All of big tech depends on them. So why would they pay 3X for a tiny competitor? Let me explain: Groq was building inference chips that threatened Nvidia's monopoly. Faster processing. Lower costs. Better architecture. If Groq succeeded, they'd crack open the market. So Nvidia did what monopolies always do: bought them before they became a threat. They're buying silence - not innovation. And this isn't a one-off. In September, Nvidia spent $900 million on Enfabrica, another AI chip startup. Same playbook. They committed $100 billion to OpenAI with a requirement that OpenAI deploy 10 gigawatts of Nvidia products. Now $20 billion for Groq. Nvidia isn't competing anymore. They're consolidating. They're using their cash pile to swallow every potential rival before they grow. The founder and CEO of Groq, Jonathan Ross, is joining Nvidia. So is the president and the entire leadership team. Groq's cloud business will keep running independently. But the tech, the IP, the competitive advantage? All Nvidia's now. This is the largest acquisition Nvidia has EVER made. Their previous record was $7 billion for Mellanox in 2019. They just tripled that. And nobody's questioning why. Everyone's celebrating "innovation" and "consolidation" and "strategic partnerships." But what actually happened is this: Nvidia looked at the one company that could challenge their monopoly and paid whatever it took to kill them. $20 billion is cheap insurance when you're worth trillions. The only question left is who's next.

Nvidia just made its biggest acquisition ever... A small startup. On Christmas Eve. While everyone was distracted. The startup is Groq. They make AI chips that run faster than Nvidia's. In September, Groq raised $750 million at a $6.9 billion valuation. Investors included BlackRock, Samsung, Cisco, and Donald Trump Jr.'s fund 1789 Capital. Yesterday, Nvidia paid $20 billion for them. That's a 3x markup in 90 days. Trump Jr. just made a fortune overnight. But the money isn't even the craziest part... Nvidia dominates AI chips. They have 90%+ market share. All of big tech depends on them. So why would they pay 3X for a tiny competitor? Let me explain: Groq was building inference chips that threatened Nvidia's monopoly. Faster processing. Lower costs. Better architecture. If Groq succeeded, they'd crack open the market. So Nvidia did what monopolies always do: bought them before they became a threat. They're buying silence - not innovation. And this isn't a one-off. In September, Nvidia spent $900 million on Enfabrica, another AI chip startup. Same playbook. They committed $100 billion to OpenAI with a requirement that OpenAI deploy 10 gigawatts of Nvidia products. Now $20 billion for Groq. Nvidia isn't competing anymore. They're consolidating. They're using their cash pile to swallow every potential rival before they grow. The founder and CEO of Groq, Jonathan Ross, is joining Nvidia. So is the president and the entire leadership team. Groq's cloud business will keep running independently. But the tech, the IP, the competitive advantage? All Nvidia's now. This is the largest acquisition Nvidia has EVER made. Their previous record was $7 billion for Mellanox in 2019. They just tripled that. And nobody's questioning why. Everyone's celebrating "innovation" and "consolidation" and "strategic partnerships." But what actually happened is this: Nvidia looked at the one company that could challenge their monopoly and paid whatever it took to kill them. $20 billion is cheap insurance when you're worth trillions. The only question left is who's next.

Ricardo

224,264 views • 8 months ago

MEET THE NVIDIA KILLER: OpenAI bet $10 BILLION on this company that makes chips 20x faster than Nvidia's. If this plays out as expected, it’s over for Nvidia. Cerebras Systems just locked in 750 megawatts of computing power to OpenAI through 2028. For reference: that's equivalent to the annual power consumption of 600,000 US homes. The deal? Over $10 billion. Here's what nobody understands: Cerebras doesn't make normal chips. Nvidia sells you thousands of tiny chips that you connect together. Cerebras makes ONE chip. A single wafer-scale processor the size of a dinner plate. 900,000 AI cores. 4 trillion transistors. All on one piece of silicon. The result? When OpenAI tested it, Cerebras ran inference 20X FASTER than Nvidia GPUs. That's not incremental improvement. That's a different category of performance. But here's where the story gets wild: Four months ago, Cerebras was a struggling company. Their IPO filing revealed that 87% of their revenue came from ONE customer: G42, a UAE-based AI firm. The US government launched a national security review. G42 had ties to Huawei. Ties to China. The IPO collapsed. Investors panicked. Cerebras withdrew their filing in October 2025. Most startups would've been dead. Instead, Cerebras did the opposite. They raised $1.1 billion at an $8.1 billion valuation. Kicked G42 out of the cap table entirely. Got CFIUS clearance. Then landed the OpenAI deal. Now they're raising ANOTHER $1 billion at a $22 billion valuation. They more than DOUBLED their valuation in 4 months. From near-death to $22 billion. While getting rid of their biggest customer. Why OpenAI chose them: ChatGPT has 900 million weekly users. Sam Altman keeps saying they have a "severe shortage" of compute. They need SPEED, not just power. When you ask ChatGPT a question, there's a loop happening: You send request → model thinks → sends response back Nvidia chips are fast at training models. Cerebras chips are built specifically for inference. For real-time responses. For the exact bottleneck OpenAI is trying to solve. Sachin Katti from OpenAI said it best: "Cerebras adds a dedicated low-latency inference solution to our platform. That means faster responses, more natural interactions, and a stronger foundation to scale real-time AI to many more people." In other words: "We need this to scale ChatGPT." The competitive landscape just shifted: Nvidia announced a $100 billion deal with OpenAI in September. But it's still not finalized. Meanwhile, Cerebras closed their deal before Thanksgiving. And it's ALREADY being deployed. Here's the part that should terrify Nvidia: In December, Nvidia bought Groq for $20 billion. Groq makes fast inference chips. Just like Cerebras. So why would Nvidia spend $20 billion buying a competitor to something they supposedly already dominate? Because they know what's coming. Inference is the new battleground. And Cerebras is winning it. The IPO is coming Q2 2026. After this OpenAI deal, Cerebras now has: ✓ IBM contracts ✓ Department of Energy contracts ✓ OpenAI locked in for 3 years ✓ $22 billion valuation ✓ CFIUS clearance ✓ Zero customer concentration risk They went from 87% revenue dependency on one customer to the most diversified chip company outside Nvidia. In four months. The lesson? Smart money doesn't follow headlines. It follows where the AI leaders are actually spending. OpenAI didn't announce this deal for publicity. They need Cerebras hardware to scale ChatGPT. That's a $10 billion vote of confidence. While everyone's watching Nvidia stock, the real war is happening in inference. And the company with ONE giant chip just beat the company with thousands of tiny ones. What do you think happens when Cerebras IPOs?

MEET THE NVIDIA KILLER: OpenAI bet $10 BILLION on this company that makes chips 20x faster than Nvidia's. If this plays out as expected, it’s over for Nvidia. Cerebras Systems just locked in 750 megawatts of computing power to OpenAI through 2028. For reference: that's equivalent to the annual power consumption of 600,000 US homes. The deal? Over $10 billion. Here's what nobody understands: Cerebras doesn't make normal chips. Nvidia sells you thousands of tiny chips that you connect together. Cerebras makes ONE chip. A single wafer-scale processor the size of a dinner plate. 900,000 AI cores. 4 trillion transistors. All on one piece of silicon. The result? When OpenAI tested it, Cerebras ran inference 20X FASTER than Nvidia GPUs. That's not incremental improvement. That's a different category of performance. But here's where the story gets wild: Four months ago, Cerebras was a struggling company. Their IPO filing revealed that 87% of their revenue came from ONE customer: G42, a UAE-based AI firm. The US government launched a national security review. G42 had ties to Huawei. Ties to China. The IPO collapsed. Investors panicked. Cerebras withdrew their filing in October 2025. Most startups would've been dead. Instead, Cerebras did the opposite. They raised $1.1 billion at an $8.1 billion valuation. Kicked G42 out of the cap table entirely. Got CFIUS clearance. Then landed the OpenAI deal. Now they're raising ANOTHER $1 billion at a $22 billion valuation. They more than DOUBLED their valuation in 4 months. From near-death to $22 billion. While getting rid of their biggest customer. Why OpenAI chose them: ChatGPT has 900 million weekly users. Sam Altman keeps saying they have a "severe shortage" of compute. They need SPEED, not just power. When you ask ChatGPT a question, there's a loop happening: You send request → model thinks → sends response back Nvidia chips are fast at training models. Cerebras chips are built specifically for inference. For real-time responses. For the exact bottleneck OpenAI is trying to solve. Sachin Katti from OpenAI said it best: "Cerebras adds a dedicated low-latency inference solution to our platform. That means faster responses, more natural interactions, and a stronger foundation to scale real-time AI to many more people." In other words: "We need this to scale ChatGPT." The competitive landscape just shifted: Nvidia announced a $100 billion deal with OpenAI in September. But it's still not finalized. Meanwhile, Cerebras closed their deal before Thanksgiving. And it's ALREADY being deployed. Here's the part that should terrify Nvidia: In December, Nvidia bought Groq for $20 billion. Groq makes fast inference chips. Just like Cerebras. So why would Nvidia spend $20 billion buying a competitor to something they supposedly already dominate? Because they know what's coming. Inference is the new battleground. And Cerebras is winning it. The IPO is coming Q2 2026. After this OpenAI deal, Cerebras now has: ✓ IBM contracts ✓ Department of Energy contracts ✓ OpenAI locked in for 3 years ✓ $22 billion valuation ✓ CFIUS clearance ✓ Zero customer concentration risk They went from 87% revenue dependency on one customer to the most diversified chip company outside Nvidia. In four months. The lesson? Smart money doesn't follow headlines. It follows where the AI leaders are actually spending. OpenAI didn't announce this deal for publicity. They need Cerebras hardware to scale ChatGPT. That's a $10 billion vote of confidence. While everyone's watching Nvidia stock, the real war is happening in inference. And the company with ONE giant chip just beat the company with thousands of tiny ones. What do you think happens when Cerebras IPOs?

Ricardo

28,088 views • 7 months ago

🚨 SOMETHING VERY STRANGE IS HAPPENING The stock market keeps pushing to new all-time highs. But nobody is paying attention to what’s actually happening. A huge AI bubble is inflating at incredible speed and is about to pop. This has happened before. 2000: Cisco was the king of the internet. Routers. Switches. Infrastructure. Everyone thought it would own the future. Then Cisco crashed -90% and never fully recovered. Now look at today: Nvidia is the god of AI. Chips. Data centers. Infrastructure. The entire market is now tied to one company. The Magnificent 7 control roughly 30% of the S&P 500. If Google, Microsoft, Amazon, and Meta don’t get real returns, they cut spending. If they cut spending, Nvidia orders collapse. If Nvidia collapses, the whole market follows. It’s a bubble built around one company. 2000 was Cisco. 2026 is Nvidia. Remember, I’ve predicted all the market tops and bottoms for the last 15 years, including the exact Bitcoin bottom at $16,000 three years ago and the top at $126,000 in October. If you missed those calls, don’t worry. I’ll call the next one too. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

🚨 SOMETHING VERY STRANGE IS HAPPENING The stock market keeps pushing to new all-time highs. But nobody is paying attention to what’s actually happening. A huge AI bubble is inflating at incredible speed and is about to pop. This has happened before. 2000: Cisco was the king of the internet. Routers. Switches. Infrastructure. Everyone thought it would own the future. Then Cisco crashed -90% and never fully recovered. Now look at today: Nvidia is the god of AI. Chips. Data centers. Infrastructure. The entire market is now tied to one company. The Magnificent 7 control roughly 30% of the S&P 500. If Google, Microsoft, Amazon, and Meta don’t get real returns, they cut spending. If they cut spending, Nvidia orders collapse. If Nvidia collapses, the whole market follows. It’s a bubble built around one company. 2000 was Cisco. 2026 is Nvidia. Remember, I’ve predicted all the market tops and bottoms for the last 15 years, including the exact Bitcoin bottom at $16,000 three years ago and the top at $126,000 in October. If you missed those calls, don’t worry. I’ll call the next one too. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

Alex Mason 👁△

438,854 views • 3 months ago

Pudgy makes $50M a year selling toys. So why did Luca build a whole blockchain? He already had Walmart, Target, 3,100 retail stores. TCG cards next to Pokemon on the shelf. He didn't need a chain to sell penguin plushies. So I looked at public company valuations. - Funko: $908M revenue. Trades at 0.6x. - Mattel: $5B revenue. Trades at 1.1x. - Hasbro: $4B revenue. Trades at 2.9x. Now look at tech platforms. - Roblox: trades at 4.2x revenue. - Spotify: trades at 4.1x revenue. Same $50M revenue, completely different valuation depending on what category investors put you in. $50M as a toy company = $30M valuation. $50M as a tech platform = $200M valuation. Luca said he wants to IPO by 2027. Told Decrypt he'd be "disappointed in himself" if it doesn't happen. Now ask yourself: would you IPO as a toy company at 0.6x? Or would you build a consumer chain, a global wallet, a gaming platform, and IPO as a tech company at 4x? He killed Pudgy Party (1M downloads) to focus everything on Abstract chain. Founders Fund put $11M into Abstract, not into toy manufacturing. Luca himself said "blockchain is the least interesting thing about the platform." He's not building Abstract because he loves decentralization. He's building it because the category you IPO in decides your price tag. I don't have insider info. This is just me connecting dots from public data. But the dots line up pretty clean. Not financial advice.

Pudgy makes $50M a year selling toys. So why did Luca build a whole blockchain? He already had Walmart, Target, 3,100 retail stores. TCG cards next to Pokemon on the shelf. He didn't need a chain to sell penguin plushies. So I looked at public company valuations. - Funko: $908M revenue. Trades at 0.6x. - Mattel: $5B revenue. Trades at 1.1x. - Hasbro: $4B revenue. Trades at 2.9x. Now look at tech platforms. - Roblox: trades at 4.2x revenue. - Spotify: trades at 4.1x revenue. Same $50M revenue, completely different valuation depending on what category investors put you in. $50M as a toy company = $30M valuation. $50M as a tech platform = $200M valuation. Luca said he wants to IPO by 2027. Told Decrypt he'd be "disappointed in himself" if it doesn't happen. Now ask yourself: would you IPO as a toy company at 0.6x? Or would you build a consumer chain, a global wallet, a gaming platform, and IPO as a tech company at 4x? He killed Pudgy Party (1M downloads) to focus everything on Abstract chain. Founders Fund put $11M into Abstract, not into toy manufacturing. Luca himself said "blockchain is the least interesting thing about the platform." He's not building Abstract because he loves decentralization. He's building it because the category you IPO in decides your price tag. I don't have insider info. This is just me connecting dots from public data. But the dots line up pretty clean. Not financial advice.

Tat Thang

16,686 views • 2 months ago

🚨 SOMETHING VERY STRANGE IS HAPPENING The stock market keeps pushing to new all-time highs. But nobody is paying attention to what’s actually happening. Semiconductor stocks are now worth $13.4T. That’s 19.7% of the entire S&P 500. 4x growth in just five years. And all of that growth depends on one trade: AI. Numbers do not lie: - AI chips generate 50% of all semiconductor revenue - They represent less than 0.2% of total chip shipments - A small group of companies is carrying the entire market Nvidia. Broadcom. TSMC. The same companies every major institution already owns. Here’s how the bubble feeds itself: - Big players fund each other - Partnerships create paper revenue - Money circulates inside the same system We have seen this before: 2000: - A few tech companies carried the entire market - Massive valuations - Narratives driving everything Then reality hit. The S&P 500 collapsed 50%. Now we’re watching the same cycle again. Less than 0.2% of chip volumes are now holding up trillions in market value. And one cut in AI spending is all it takes to break the entire market. Remember, I’ve predicted all the market tops and bottoms for the last 15 years, including the exact Bitcoin bottom at $16,000 three years ago and the top at $126,000 in October. If you missed those calls, don’t worry. I’ll call the next one too. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

🚨 SOMETHING VERY STRANGE IS HAPPENING The stock market keeps pushing to new all-time highs. But nobody is paying attention to what’s actually happening. Semiconductor stocks are now worth $13.4T. That’s 19.7% of the entire S&P 500. 4x growth in just five years. And all of that growth depends on one trade: AI. Numbers do not lie: - AI chips generate 50% of all semiconductor revenue - They represent less than 0.2% of total chip shipments - A small group of companies is carrying the entire market Nvidia. Broadcom. TSMC. The same companies every major institution already owns. Here’s how the bubble feeds itself: - Big players fund each other - Partnerships create paper revenue - Money circulates inside the same system We have seen this before: 2000: - A few tech companies carried the entire market - Massive valuations - Narratives driving everything Then reality hit. The S&P 500 collapsed 50%. Now we’re watching the same cycle again. Less than 0.2% of chip volumes are now holding up trillions in market value. And one cut in AI spending is all it takes to break the entire market. Remember, I’ve predicted all the market tops and bottoms for the last 15 years, including the exact Bitcoin bottom at $16,000 three years ago and the top at $126,000 in October. If you missed those calls, don’t worry. I’ll call the next one too. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

Alex Mason 👁△

228,378 views • 2 months ago

PROOF THAT AI IS A PONZI SCHEME (and why it's the reason for Bitcoin's crash): Nvidia just posted the most insane earnings in tech history. $31.9 billion in profit. $57 billion in revenue. 65% profit jump year-over-year. Stock rallied immediately. Then 18 hours later, it dropped 5%. And when people looked closer at the numbers, they found something absolutely wild... The Unpaid Bills Nobody Talked About: Nvidia's accounts receivable jumped to $33.4 billion. That's up 89% in one year. Translation: $33 billion worth of "sales" that haven't been paid yet. The average wait time for payment went from 46 days to 53 days. That extra week of waiting? $10.4 billion that may never turn into actual cash. They're booking revenue. But customers aren't paying. The Inventory That Shouldn't Exist: Unsold chip inventory surged 32% in three months to $19.8 billion. Meanwhile, Nvidia's CEO keeps saying demand is "insane" and they can't make chips fast enough. If demand is so crazy, why is inventory piling up? Either customers aren't buying with cash, or the demand story is bullshit. The Profit vs Cash Problem: Nvidia reported $19.3 billion in profit. But only generated $14.5 billion in actual cash flow. That's a $4.8 billion gap. Their profit-to-cash conversion is 75%. TSMC and AMD? Over 95%. When profit doesn't turn into cash, something's wrong. Here's Where It Gets Insane: The money is going in circles. And the same dollars are being counted as revenue multiple times. Follow this: - Nvidia gave xAI $2 billion - xAI borrowed $12.5 billion to buy Nvidia chips - Microsoft invested $13 billion in OpenAI - OpenAI committed $50 billion to Microsoft's cloud - Microsoft ordered $100 billion in Nvidia chips for that cloud - Oracle gave OpenAI $300 billion in cloud credits - OpenAI used those credits to order Nvidia chips for Oracle data centers The money goes in a circle. Nvidia → xAI → Nvidia Microsoft → OpenAI → Microsoft → Nvidia Oracle → OpenAI → Oracle → Nvidia Everyone books revenue. Nobody's actually paying cash. It's financial engineering disguised as growth. The Smart Money Already Left: Peter Thiel sold his Nvidia stake. SoftBank dumped massive positions. Michael Burry (the guy who called 2008) bought $1.1 billion in put options betting Nvidia crashes. They saw the numbers before everyone else did. And they got out. The Bitcoin Collapse: Bitcoin crashed almost 30% from $126,000 to $89,567. Why does this matter? AI startups use Bitcoin as collateral for loans. If Nvidia's crisis deepens, those startups get margin called. They're forced to sell Bitcoin to cover. Which crashes Bitcoin further. Which triggers more margin calls. Analysts think it could hit $52,000 if this unravels. The MIT Reality Check: OpenAI is valued at $157 billion. MIT released a study saying 95% of AI projects will never be profitable. Not "might struggle." NEVER be profitable. The entire sector is built on inflated expectations. What Happens Next: February 2026: Nvidia's Q4 report shows how many bills are 60+ days overdue. March 2026: Credit agencies start downgrading Nvidia and related companies. April 2026: First earnings restatements hit. The whole thing unwinds. Some experts are calling this a Ponzi scheme. No formal fraud investigation yet. But the structure is there: - Use new investor money to pay old investors - Inflate revenue with circular deals - Book sales before receiving cash - Keep the music playing until someone asks for their money Nvidia executives deny everything. Say it's real growth. Real demand. Real transformation. But the numbers don't lie. $10.4 billion in delayed payments. $19.8 billion in unsold inventory. $4.8 billion profit-to-cash gap. Circular funding loops inflating revenue. This is either the biggest tech transformation in history, or the biggest financial engineering scam since 2008. The next three months will tell us which one it is. What are you betting on?

PROOF THAT AI IS A PONZI SCHEME (and why it's the reason for Bitcoin's crash): Nvidia just posted the most insane earnings in tech history. $31.9 billion in profit. $57 billion in revenue. 65% profit jump year-over-year. Stock rallied immediately. Then 18 hours later, it dropped 5%. And when people looked closer at the numbers, they found something absolutely wild... The Unpaid Bills Nobody Talked About: Nvidia's accounts receivable jumped to $33.4 billion. That's up 89% in one year. Translation: $33 billion worth of "sales" that haven't been paid yet. The average wait time for payment went from 46 days to 53 days. That extra week of waiting? $10.4 billion that may never turn into actual cash. They're booking revenue. But customers aren't paying. The Inventory That Shouldn't Exist: Unsold chip inventory surged 32% in three months to $19.8 billion. Meanwhile, Nvidia's CEO keeps saying demand is "insane" and they can't make chips fast enough. If demand is so crazy, why is inventory piling up? Either customers aren't buying with cash, or the demand story is bullshit. The Profit vs Cash Problem: Nvidia reported $19.3 billion in profit. But only generated $14.5 billion in actual cash flow. That's a $4.8 billion gap. Their profit-to-cash conversion is 75%. TSMC and AMD? Over 95%. When profit doesn't turn into cash, something's wrong. Here's Where It Gets Insane: The money is going in circles. And the same dollars are being counted as revenue multiple times. Follow this: - Nvidia gave xAI $2 billion - xAI borrowed $12.5 billion to buy Nvidia chips - Microsoft invested $13 billion in OpenAI - OpenAI committed $50 billion to Microsoft's cloud - Microsoft ordered $100 billion in Nvidia chips for that cloud - Oracle gave OpenAI $300 billion in cloud credits - OpenAI used those credits to order Nvidia chips for Oracle data centers The money goes in a circle. Nvidia → xAI → Nvidia Microsoft → OpenAI → Microsoft → Nvidia Oracle → OpenAI → Oracle → Nvidia Everyone books revenue. Nobody's actually paying cash. It's financial engineering disguised as growth. The Smart Money Already Left: Peter Thiel sold his Nvidia stake. SoftBank dumped massive positions. Michael Burry (the guy who called 2008) bought $1.1 billion in put options betting Nvidia crashes. They saw the numbers before everyone else did. And they got out. The Bitcoin Collapse: Bitcoin crashed almost 30% from $126,000 to $89,567. Why does this matter? AI startups use Bitcoin as collateral for loans. If Nvidia's crisis deepens, those startups get margin called. They're forced to sell Bitcoin to cover. Which crashes Bitcoin further. Which triggers more margin calls. Analysts think it could hit $52,000 if this unravels. The MIT Reality Check: OpenAI is valued at $157 billion. MIT released a study saying 95% of AI projects will never be profitable. Not "might struggle." NEVER be profitable. The entire sector is built on inflated expectations. What Happens Next: February 2026: Nvidia's Q4 report shows how many bills are 60+ days overdue. March 2026: Credit agencies start downgrading Nvidia and related companies. April 2026: First earnings restatements hit. The whole thing unwinds. Some experts are calling this a Ponzi scheme. No formal fraud investigation yet. But the structure is there: - Use new investor money to pay old investors - Inflate revenue with circular deals - Book sales before receiving cash - Keep the music playing until someone asks for their money Nvidia executives deny everything. Say it's real growth. Real demand. Real transformation. But the numbers don't lie. $10.4 billion in delayed payments. $19.8 billion in unsold inventory. $4.8 billion profit-to-cash gap. Circular funding loops inflating revenue. This is either the biggest tech transformation in history, or the biggest financial engineering scam since 2008. The next three months will tell us which one it is. What are you betting on?

Ricardo

212,902 views • 9 months ago

Novogratz: Everything FEELS like a bubble, but the companies are printing money because the technology is genuinely transformational. "The S&P less the mag seven... it doesn't look really good at all. And so that's a warning sign." But the supply chains are tight, chips are scarce, and Nvidia keeps crushing numbers. The inflection point is coming - it's just nobody knows when. FT Anthony Scaramucci Mike Novogratz All Things Markets SkyBridge.

Novogratz: Everything FEELS like a bubble, but the companies are printing money because the technology is genuinely transformational. "The S&P less the mag seven... it doesn't look really good at all. And so that's a warning sign." But the supply chains are tight, chips are scarce, and Nvidia keeps crushing numbers. The inflection point is coming - it's just nobody knows when. FT Anthony Scaramucci Mike Novogratz All Things Markets SkyBridge.

Milk Road

53,883 views • 2 months ago