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🚨 WARNING: AI BUBBLE IS ABOUT TO BURST Microsoft gave OpenAI $13 BILLION. OpenAI sent it back through Azure. Microsoft booked it as revenue. Amazon and Google are running similar loops with Anthropic while marking up huge paper gains from AI valuations. OpenAI is spending over $60 BILLION a... show more

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🚨 WARNING: AI BUBBLE IS ABOUT TO BURST Microsoft gave OpenAI $13 BILLION. OpenAI sent it back through Azure. Microsoft booked it as revenue. Amazon and Google are running similar loops with Anthropic while marking up huge paper gains from AI valuations. OpenAI is spending over $60 BILLION a year on compute while generating only $25 BILLION in revenue. Ray Dalio has warned that late stage bubbles are driven by fake flows, not real economics. That is exactly what this is starting to look like.

🚨 WARNING: AI BUBBLE IS ABOUT TO BURST Microsoft gave OpenAI $13 BILLION. OpenAI sent it back through Azure. Microsoft booked it as revenue. Amazon and Google are running similar loops with Anthropic while marking up huge paper gains from AI valuations. OpenAI is spending over $60 BILLION a year on compute while generating only $25 BILLION in revenue. Ray Dalio has warned that late stage bubbles are driven by fake flows, not real economics. That is exactly what this is starting to look like.

DANNY

107,598 views • 1 month ago

🚨 BREAKING: TECH COMPANIES ARE STRAIGHT FALSIFICATING EARNINGS Microsoft just gave OpenAI $13 BILLION OpenAI invested it back to Azure Microsoft booked it as revenue OpenAI booked it as a revenue too Amazon and Google are running similar loops with Anthropic while marking up huge paper gains from AI valuations Nvidia and Oracle don't even hide this scheme anymore OpenAI is spending over $60 BILLION a year on compute while generating only $25 BILLION in revenue. Ray Dalio, one of the most profitable investors in the world, has warned that late stage bubbles are driven by fake flows, not real economics He saw it before in 2000, 2008 Now he warns the same ponzi is happening at bigger scale That is exactly the definition of top of the market Keep in mind: I’ve called every major market top and bottom for over 10 YEARS I was one of the only people who called the top in October, and I’ll do it again That’s literally my job If you still haven’t followed me, you’ll regret

🚨 BREAKING: TECH COMPANIES ARE STRAIGHT FALSIFICATING EARNINGS Microsoft just gave OpenAI $13 BILLION OpenAI invested it back to Azure Microsoft booked it as revenue OpenAI booked it as a revenue too Amazon and Google are running similar loops with Anthropic while marking up huge paper gains from AI valuations Nvidia and Oracle don't even hide this scheme anymore OpenAI is spending over $60 BILLION a year on compute while generating only $25 BILLION in revenue. Ray Dalio, one of the most profitable investors in the world, has warned that late stage bubbles are driven by fake flows, not real economics He saw it before in 2000, 2008 Now he warns the same ponzi is happening at bigger scale That is exactly the definition of top of the market Keep in mind: I’ve called every major market top and bottom for over 10 YEARS I was one of the only people who called the top in October, and I’ll do it again That’s literally my job If you still haven’t followed me, you’ll regret

Hopper

18,271 views • 2 months ago

🚨 THIS IS HOW THE AI BUBBLE WILL BREAK THE S&P 500 Microsoft gave OpenAI $13B. OpenAI sent it back through Azure. Microsoft booked it as revenue. Google committed $40B to Anthropic. Anthropic agreed to send it back through Google Cloud and chips. They all call this loop “revenue.” Let's connect the dots: - Big Tech invests in the AI. - The AI buys Big Tech cloud. - Big Tech reports AI growth. - AI valuations explode. And Wall Street calls it demand. Ray Dalio warned that late-stage bubbles are driven by loops. That is what this looks like now. The technology is real. But the money is moving in circles. When holders finally ask how much of this “AI demand” is real, the bubble will burst. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

🚨 THIS IS HOW THE AI BUBBLE WILL BREAK THE S&P 500 Microsoft gave OpenAI $13B. OpenAI sent it back through Azure. Microsoft booked it as revenue. Google committed $40B to Anthropic. Anthropic agreed to send it back through Google Cloud and chips. They all call this loop “revenue.” Let's connect the dots: - Big Tech invests in the AI. - The AI buys Big Tech cloud. - Big Tech reports AI growth. - AI valuations explode. And Wall Street calls it demand. Ray Dalio warned that late-stage bubbles are driven by loops. That is what this looks like now. The technology is real. But the money is moving in circles. When holders finally ask how much of this “AI demand” is real, the bubble will burst. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

Alex Mason 👁△

291,359 views • 2 months ago

🚨 THIS IS HOW THE AI BUBBLE WILL BREAK THE S&P 500 Microsoft gave OpenAI $13B. OpenAI sent it back through Azure. Microsoft booked it as revenue. Google committed $40B to Anthropic. Anthropic agreed to send it back through Google Cloud and chips. They all call this loop “revenue.” Let's connect the dots: - Big Tech invests in the AI. - The AI buys Big Tech cloud. - Big Tech reports AI growth. - AI valuations explode. And Wall Street calls it demand. Ray Dalio warned that late-stage bubbles are driven by loops. That is what this looks like now. The technology is real. But the money is moving in circles. When holders finally ask how much of this “AI demand” is real, the bubble will burst. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

🚨 THIS IS HOW THE AI BUBBLE WILL BREAK THE S&P 500 Microsoft gave OpenAI $13B. OpenAI sent it back through Azure. Microsoft booked it as revenue. Google committed $40B to Anthropic. Anthropic agreed to send it back through Google Cloud and chips. They all call this loop “revenue.” Let's connect the dots: - Big Tech invests in the AI. - The AI buys Big Tech cloud. - Big Tech reports AI growth. - AI valuations explode. And Wall Street calls it demand. Ray Dalio warned that late-stage bubbles are driven by loops. That is what this looks like now. The technology is real. But the money is moving in circles. When holders finally ask how much of this “AI demand” is real, the bubble will burst. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

WhaleTwits

52,661 views • 2 months ago

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.

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 views • 3 months ago

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?

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 views • 21 days ago

OpenAI CFO Sarah Friar: The business case for AI is simple: more compute, more revenue OpenAI scaled from 200 megawatts to 2 gigawatts, and ARR climbed from $2 billion to over $20 billion, yet we remain absolutely constrained on compute "the signal from everywhere is real... we are in a paradigm shift"

OpenAI CFO Sarah Friar: The business case for AI is simple: more compute, more revenue OpenAI scaled from 200 megawatts to 2 gigawatts, and ARR climbed from $2 billion to over $20 billion, yet we remain absolutely constrained on compute "the signal from everywhere is real... we are in a paradigm shift"

Haider.

18,109 views • 7 months ago

🚨 Stop scrolling.. Let me explain what Sam Altman just pulled off. > Microsoft gave OpenAI $13 billion.. Biggest AI bet in history. OpenAI ran exclusively on Azure. > Then Sam got fired by his own board nd the whole world watched. > He talked his way back in. Fired the board instead and Restructured OpenAI from nonprofit to for-profit. > Then signed a $50 billion cloud deal with Amazon. Microsoft's biggest competitor.. using Microsoft's money to build the product Amazon's now selling. > Now Microsoft is lawyering up. This man got fired on a Friday, came back on a Monday, took $13 billion from Microsoft, flipped the entire company structure, and then handed the keys to Amazon. Sam Altman is running a masterclass in how to finesse a trillion dollar company with a straight face.

🚨 Stop scrolling.. Let me explain what Sam Altman just pulled off. > Microsoft gave OpenAI $13 billion.. Biggest AI bet in history. OpenAI ran exclusively on Azure. > Then Sam got fired by his own board nd the whole world watched. > He talked his way back in. Fired the board instead and Restructured OpenAI from nonprofit to for-profit. > Then signed a $50 billion cloud deal with Amazon. Microsoft's biggest competitor.. using Microsoft's money to build the product Amazon's now selling. > Now Microsoft is lawyering up. This man got fired on a Friday, came back on a Monday, took $13 billion from Microsoft, flipped the entire company structure, and then handed the keys to Amazon. Sam Altman is running a masterclass in how to finesse a trillion dollar company with a straight face.

Tuki

100,703 views • 5 months ago

OpenAI entered 2026 with the most insane revenue targets in corporate history. $30 billion in sales. Up from $13 billion in 2025. While LOSING $14 billion doing it. Let's understand this: OpenAI needed to convert from nonprofit to for-profit by December 31st, 2025 to unlock their $40 billion SoftBank funding. Miss that deadline? The round drops to $20 billion. And they made it. But here's the thing: The nonprofit STILL controls everything. They spent an entire year fighting to become for-profit, got sued by Elon Musk, pissed off California's attorney general, lost key employees over it. Then ended up basically right where they started. Except now the nonprofit has a $130 billion stake and Microsoft got $135 billion for 27% ownership. So OpenAI burned a year of political capital to give away $265 billion in equity while keeping the same power structure that almost destroyed them in 2023. The revenue math is absolutely deranged: To hit $30 billion in 2026, they need to more than double revenue in 12 months. No company in history has done this from a $13 billion base. Not even Nvidia. Not even ByteDance. OpenAI wants to go from $10B to $100B in 3 years. And the losses are worse: $14 billion in losses in 2026. Triple their 2025 burn. They've committed to: - $250 billion to Microsoft Azure - $38 billion to Amazon AWS - $1+ trillion in chip deals with Nvidia, AMD, and Broadcom They won't be profitable until 2029. Maybe. But here's the part that makes this whole thing insane... They're not just competing anymore. Anthropic: Fully for-profit. On track for $15 billion revenue in 2026. AI insiders surveyed in December said they'd invest in Anthropic over OpenAI. Meta's pouring billions into Llama. Chinese models eating market share. And OpenAI still has to answer to a nonprofit board that can shut down AGI research whenever they decide it's not "benefiting humanity." The same board that fired Sam Altman in November 2023. The investors know this. That's why the $40B was contingent on conversion. When OpenAI reversed course and kept nonprofit control, they had to give the nonprofit a $130B stake. Basically: "You can keep control, but you better make us whole." What happens if they miss targets? The Azure commitment becomes a liability. The AWS deal gets renegotiated. The nonprofit board starts asking why they're burning billions while people die of preventable diseases. Investors start wondering if that $300B valuation was justified. OpenAI is betting they can: 1. More than double revenue annually for 3 years straight 2. Burn $44 billion doing it 3. Keep a nonprofit board happy 4. Fend off Anthropic, Meta, and Chinese competitors 5. Avoid another Sam Altman situation 6. Actually build AGI 7. Convince everyone it was worth it Nobody in history has pulled this off. We're 1 day into 2026. By December 31st, we'll know if OpenAI is the most ambitious company ever built or the biggest AI bubble in history. What are you betting on?

OpenAI entered 2026 with the most insane revenue targets in corporate history. $30 billion in sales. Up from $13 billion in 2025. While LOSING $14 billion doing it. Let's understand this: OpenAI needed to convert from nonprofit to for-profit by December 31st, 2025 to unlock their $40 billion SoftBank funding. Miss that deadline? The round drops to $20 billion. And they made it. But here's the thing: The nonprofit STILL controls everything. They spent an entire year fighting to become for-profit, got sued by Elon Musk, pissed off California's attorney general, lost key employees over it. Then ended up basically right where they started. Except now the nonprofit has a $130 billion stake and Microsoft got $135 billion for 27% ownership. So OpenAI burned a year of political capital to give away $265 billion in equity while keeping the same power structure that almost destroyed them in 2023. The revenue math is absolutely deranged: To hit $30 billion in 2026, they need to more than double revenue in 12 months. No company in history has done this from a $13 billion base. Not even Nvidia. Not even ByteDance. OpenAI wants to go from $10B to $100B in 3 years. And the losses are worse: $14 billion in losses in 2026. Triple their 2025 burn. They've committed to: - $250 billion to Microsoft Azure - $38 billion to Amazon AWS - $1+ trillion in chip deals with Nvidia, AMD, and Broadcom They won't be profitable until 2029. Maybe. But here's the part that makes this whole thing insane... They're not just competing anymore. Anthropic: Fully for-profit. On track for $15 billion revenue in 2026. AI insiders surveyed in December said they'd invest in Anthropic over OpenAI. Meta's pouring billions into Llama. Chinese models eating market share. And OpenAI still has to answer to a nonprofit board that can shut down AGI research whenever they decide it's not "benefiting humanity." The same board that fired Sam Altman in November 2023. The investors know this. That's why the $40B was contingent on conversion. When OpenAI reversed course and kept nonprofit control, they had to give the nonprofit a $130B stake. Basically: "You can keep control, but you better make us whole." What happens if they miss targets? The Azure commitment becomes a liability. The AWS deal gets renegotiated. The nonprofit board starts asking why they're burning billions while people die of preventable diseases. Investors start wondering if that $300B valuation was justified. OpenAI is betting they can: 1. More than double revenue annually for 3 years straight 2. Burn $44 billion doing it 3. Keep a nonprofit board happy 4. Fend off Anthropic, Meta, and Chinese competitors 5. Avoid another Sam Altman situation 6. Actually build AGI 7. Convince everyone it was worth it Nobody in history has pulled this off. We're 1 day into 2026. By December 31st, we'll know if OpenAI is the most ambitious company ever built or the biggest AI bubble in history. What are you betting on?

Ricardo

97,607 views • 8 months ago

🚨 DOT-COM 2.0 IS ALREADY HERE A $2 trillion AI economy built on the same dollars being passed in a circle I'm not being dramatic. The accounting trick is right there in the filings The scariest part? It's all 100% legal Here's how it works: A tech giant gives an AI startup billions in "investment." The contract forces that startup to spend the exact same money renting servers from… the tech giant. The tech giant then books that server usage as brand new "cloud revenue." Translation: they're paying themselves with their own money and calling it a sale. Look at Microsoft and OpenAI. Microsoft "invested" $13 billion in OpenAI. Most of it never left Microsoft - it was cloud credits that could only be spent on Microsoft servers. OpenAI used those credits to train its models. Microsoft turned around and recorded that exact spend as new cloud revenue That's why OpenAI's annual cloud bill is now $60 BILLION For a company doing only $25 BILLION in actual revenue It's not a customer. It's a recycled funding loop Anthropic runs the exact same script: $2.66 billion paid to AWS in 9 months - basically 100% of everything Anthropic earned. And it gets worse Every time these AI startups raise at a higher valuation, the tech giants mark up their equity and book the paper gain as PROFIT. Q1 2026: ➮ Alphabet reported $62.6B in profit. $28.7B of it (nearly half) was just a paper markup on Anthropic. ➮ Amazon reported $30.3B in profit. $16.8B of it was the same Anthropic paper gain. While Amazon was reporting record profits, its actual free cash flow collapsed 95% to just $1.2 billion Because they had to spend $44.2 BILLION in REAL money building data centers Real cash going out. Paper "profits" coming in Now here's where it gets dangerous: ➮ Microsoft has 49% of its $627 billion future backlog tied to OpenAI alone ➮ Oracle has 54% of its $553 billion pipeline depending on OpenAI alone Trillions of dollars of "demand" resting on one or two unprofitable startups If this all sounds familiar, it should This is 2001 all over again Back then, Global Crossing and Qwest swapped identical fiber-optic capacity with each other just to book fake sales Qwest had to erase $1.4 billion in fake income Global Crossing went bankrupt The only difference between then and now? The dot-com swaps were illegal Today's AI loop is fully legal under current accounting rules That's not a comfort. That's a warning Legal doesn't mean safe. It just means nobody can stop it before it blows up And here's the part most people don't realize: Every 401k, every index fund, every retirement account in America is being forced to buy more of these tech stocks every month. The loop inflates the stock prices The funds chase the prices The chase inflates them further Until the day the music stops and there's no real cash underneath. Don't worry though - my system flags the exact moment the market shifts from caution to DANGER. You'll be warned before it hits, like always. All you need to NOT miss my next call is to keep NOTIFS ON

Reflection🪩

3,873,001 views • 3 months ago

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Stocks

41,351 views • 1 month ago

Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Macro

55,169 views • 3 months ago

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

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

Milk Road AI

14,578 views • 2 months ago

Morgan Stanley just raised their 2027 AI capex forecast to $1.1 trillion and that number still doesn't include SpaceX or a lot of the other AI companies (Save this). When you factor those in, the real 2027 figure is probably closer to $1.5 trillion and AI lab inference revenue combined is tracking toward $300 billion in 2027. On its surface that ratio sounds alarming, spending $1.5 trillion in capex to generate $300 billion in revenue. But the framing collapses the moment you examine two things the bears consistently ignore, gross margins and the revenue trajectory. Gross margins on inference revenue are running at 60 to 70 percent. That means the $300 billion in inference revenue generates $180 to $210 billion in gross profit and that number compounds rapidly as utilization scales on infrastructure that is already built and paid for. The Capex is not being deployed against today's revenue but rather being deployed against a revenue trajectory that has shown no signs of decelerating. To understand how aggressive that trajectory actually is, consider that Morgan Stanley's $1.1 trillion hyperscaler forecast is nearly double what analysts projected for the same year just twelve months ago And they described the demand as inelastic, meaning it is not slowing down regardless of rising costs, tighter financing conditions or geopolitical risk. The AI industry ended 2025 tracking well over $200 billion in combined inference revenue and the growth rate since then has continued to accelerate rather than flatten. Anthropic alone scaled from negligible revenue to a $30 billion annualized run rate in approximately 18 months while OpenAI is tracking toward $280 billion in annual revenue by 2030 from $13 billion in 2025. There is also a structural reality in the capex number that the bears never account for. Roughly 35 percent of total AI spending goes toward training, building the next model generation which is not revenue-generating in the current period. That means only about 65 percent of the $1.5 trillion in capex is actually deployed against the inference infrastructure that earns revenue today. When you apply the 60 to 70 percent gross margin to the revenue that sits on top of that 65 percent figure, the economics look substantially better than the headline capex to revenue ratio implies. Every CEO who has been closest to this buildout has consistently underestimated it and Jensen Huang projected $1 trillion in AI capex two years ago and was called delusional. Dario Amodei said in early 2026 that AI revenues would reach the low hundreds of billions by 2028 and trillions before 2030 and given where Anthropic's own revenue trajectory is today, he is likely revising those numbers upward. The pattern here is consistent, every time someone models the revenue ceiling, the actual number breaks through it faster than expected. Come join Milk Road Pro for our full breakdown, the real unit economics of the AI inference buildout, how the capex to revenue ratio evolves over the next three years, and our entire AI thesis! Link below!

Morgan Stanley just raised their 2027 AI capex forecast to $1.1 trillion and that number still doesn't include SpaceX or a lot of the other AI companies (Save this). When you factor those in, the real 2027 figure is probably closer to $1.5 trillion and AI lab inference revenue combined is tracking toward $300 billion in 2027. On its surface that ratio sounds alarming, spending $1.5 trillion in capex to generate $300 billion in revenue. But the framing collapses the moment you examine two things the bears consistently ignore, gross margins and the revenue trajectory. Gross margins on inference revenue are running at 60 to 70 percent. That means the $300 billion in inference revenue generates $180 to $210 billion in gross profit and that number compounds rapidly as utilization scales on infrastructure that is already built and paid for. The Capex is not being deployed against today's revenue but rather being deployed against a revenue trajectory that has shown no signs of decelerating. To understand how aggressive that trajectory actually is, consider that Morgan Stanley's $1.1 trillion hyperscaler forecast is nearly double what analysts projected for the same year just twelve months ago And they described the demand as inelastic, meaning it is not slowing down regardless of rising costs, tighter financing conditions or geopolitical risk. The AI industry ended 2025 tracking well over $200 billion in combined inference revenue and the growth rate since then has continued to accelerate rather than flatten. Anthropic alone scaled from negligible revenue to a $30 billion annualized run rate in approximately 18 months while OpenAI is tracking toward $280 billion in annual revenue by 2030 from $13 billion in 2025. There is also a structural reality in the capex number that the bears never account for. Roughly 35 percent of total AI spending goes toward training, building the next model generation which is not revenue-generating in the current period. That means only about 65 percent of the $1.5 trillion in capex is actually deployed against the inference infrastructure that earns revenue today. When you apply the 60 to 70 percent gross margin to the revenue that sits on top of that 65 percent figure, the economics look substantially better than the headline capex to revenue ratio implies. Every CEO who has been closest to this buildout has consistently underestimated it and Jensen Huang projected $1 trillion in AI capex two years ago and was called delusional. Dario Amodei said in early 2026 that AI revenues would reach the low hundreds of billions by 2028 and trillions before 2030 and given where Anthropic's own revenue trajectory is today, he is likely revising those numbers upward. The pattern here is consistent, every time someone models the revenue ceiling, the actual number breaks through it faster than expected. Come join Milk Road Pro for our full breakdown, the real unit economics of the AI inference buildout, how the capex to revenue ratio evolves over the next three years, and our entire AI thesis! Link below!

Milk Road AI

21,141 views • 2 months ago

Microsoft is about to sue its own golden child. $14 billion invested. Exclusive cloud rights. The most important AI partnership in history. And Sam Altman just went behind their back with a $50 billion Amazon deal. Here's why they're betraying each other: When Microsoft first invested in OpenAI in 2019, they locked in ONE rule above everything else... ALL access to OpenAI's models must go through Microsoft's Azure cloud. No exceptions. That deal made Azure the backbone of the AI revolution. Every company using ChatGPT's API was paying Microsoft for the privilege. It was the smartest infrastructure play of the decade. Then last month, OpenAI quietly signed a deal with Amazon. $50 billion. AWS becomes the exclusive third-party cloud provider for Frontier, OpenAI's new enterprise AI agent platform. $138 billion committed to Amazon cloud services. Microsoft found out and got really angry.... A person familiar with Microsoft's position told the Financial Times today: "We know our contract. We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them." That's basically a declaration of war. And here's where it gets crazy: OpenAI and Amazon are trying to build a technical workaround. A system called the "Stateful Runtime Environment" that runs on Amazon's Bedrock platform. Their argument is that the system "only" handles memory and context for AI agents using enterprise data on AWS. It doesn't technically "invoke" OpenAI's core models through Amazon. Microsoft's response: Bullshit. The workaround violates the spirit of the deal even if it technically dances around the letter. Amazon knows they're on thin ice too. An internal memo leaked showing Amazon told employees exactly what language they can and can't use. They can say Frontier is "powered by OpenAI" or "enabled by OpenAI." But they CANNOT say customers can "access" or "invoke" OpenAI models on AWS. When you're coaching employees on which verbs to avoid, you know you're in trouble. But here's the thing everyone seems to forget: OpenAI is planning an IPO this year. They just closed a $110 billion funding round last month. So if Microsoft sues, the IPO timeline is DEAD. You can't go public while your biggest partner and investor is suing you for breach of contract. Elon Musk is already suing OpenAI separately for abandoning its nonprofit mission. Two active lawsuits from two of the most powerful people in tech. Against one company trying to IPO. Good luck with that S-1 filing. But WHY did Altman do this? Microsoft gave OpenAI everything. Capital. Infrastructure. Distribution. Enterprise customers. And Altman's response was to secretly build an escape route through Amazon... Because he saw what was coming: Microsoft launched Copilot. Their own AI product. Competing directly with ChatGPT. Microsoft started building their own models. Hiring their own AI researchers. Reducing dependency on OpenAI. So Altman did the same thing back. Found another cloud provider. Started building leverage. Both sides were preparing for divorce while still living in the same house. So the $50 billion Amazon deal was just an insurance policy against the day Microsoft decides it doesn't need OpenAI anymore. And Microsoft caught him packing his bags. What happens next: The companies are still talking. Trying to resolve this before Frontier launches. But Microsoft has made their position clear. Litigation is on the table. If this goes to court, it sets a precedent for every AI partnership in the industry. Every cloud deal. Every exclusive licensing agreement. The entire AI infrastructure map gets redrawn. Sam Altman built OpenAI on Microsoft's money, Microsoft's cloud, and Microsoft's trust. Then he signed a $50 billion deal with their biggest competitor. In any other industry they'd call that what it is.

Microsoft is about to sue its own golden child. $14 billion invested. Exclusive cloud rights. The most important AI partnership in history. And Sam Altman just went behind their back with a $50 billion Amazon deal. Here's why they're betraying each other: When Microsoft first invested in OpenAI in 2019, they locked in ONE rule above everything else... ALL access to OpenAI's models must go through Microsoft's Azure cloud. No exceptions. That deal made Azure the backbone of the AI revolution. Every company using ChatGPT's API was paying Microsoft for the privilege. It was the smartest infrastructure play of the decade. Then last month, OpenAI quietly signed a deal with Amazon. $50 billion. AWS becomes the exclusive third-party cloud provider for Frontier, OpenAI's new enterprise AI agent platform. $138 billion committed to Amazon cloud services. Microsoft found out and got really angry.... A person familiar with Microsoft's position told the Financial Times today: "We know our contract. We will sue them if they breach it. If Amazon and OpenAI want to take a bet on the creativity of their contractual lawyers, I would back us, not them." That's basically a declaration of war. And here's where it gets crazy: OpenAI and Amazon are trying to build a technical workaround. A system called the "Stateful Runtime Environment" that runs on Amazon's Bedrock platform. Their argument is that the system "only" handles memory and context for AI agents using enterprise data on AWS. It doesn't technically "invoke" OpenAI's core models through Amazon. Microsoft's response: Bullshit. The workaround violates the spirit of the deal even if it technically dances around the letter. Amazon knows they're on thin ice too. An internal memo leaked showing Amazon told employees exactly what language they can and can't use. They can say Frontier is "powered by OpenAI" or "enabled by OpenAI." But they CANNOT say customers can "access" or "invoke" OpenAI models on AWS. When you're coaching employees on which verbs to avoid, you know you're in trouble. But here's the thing everyone seems to forget: OpenAI is planning an IPO this year. They just closed a $110 billion funding round last month. So if Microsoft sues, the IPO timeline is DEAD. You can't go public while your biggest partner and investor is suing you for breach of contract. Elon Musk is already suing OpenAI separately for abandoning its nonprofit mission. Two active lawsuits from two of the most powerful people in tech. Against one company trying to IPO. Good luck with that S-1 filing. But WHY did Altman do this? Microsoft gave OpenAI everything. Capital. Infrastructure. Distribution. Enterprise customers. And Altman's response was to secretly build an escape route through Amazon... Because he saw what was coming: Microsoft launched Copilot. Their own AI product. Competing directly with ChatGPT. Microsoft started building their own models. Hiring their own AI researchers. Reducing dependency on OpenAI. So Altman did the same thing back. Found another cloud provider. Started building leverage. Both sides were preparing for divorce while still living in the same house. So the $50 billion Amazon deal was just an insurance policy against the day Microsoft decides it doesn't need OpenAI anymore. And Microsoft caught him packing his bags. What happens next: The companies are still talking. Trying to resolve this before Frontier launches. But Microsoft has made their position clear. Litigation is on the table. If this goes to court, it sets a precedent for every AI partnership in the industry. Every cloud deal. Every exclusive licensing agreement. The entire AI infrastructure map gets redrawn. Sam Altman built OpenAI on Microsoft's money, Microsoft's cloud, and Microsoft's trust. Then he signed a $50 billion deal with their biggest competitor. In any other industry they'd call that what it is.

Ricardo

209,440 views • 5 months ago

Elon's lawsuit EXPOSED OpenAI and Microsoft: They're functionally merged without ever filing merger paperwork. Microsoft invested $14 billion starting in 2019. Now owns 27% of OpenAI (valued at $135 billion). Has exclusive IP rights through 2032. Placed Microsoft VP Dee Templeton on OpenAI's board. And allegedly forces investors into "fund no competitors" deals. That's not an investment. That's a takeover. But it's actually genius: By keeping it structured as "partnership" instead of acquisition, they dodged antitrust review. No FTC approval needed. No DOJ investigation. No regulatory oversight. Meanwhile OpenAI committed to buying $250 billion of Azure cloud services. Microsoft gets 20% of OpenAI's revenue. OpenAI can only develop API products exclusively on Azure. And any AI startup that takes OpenAI investor money allegedly can't fund competitors. Just two companies controlling 70% of the AI market without anyone asking questions. Until now. The lawsuit claims OpenAI went from "tax-exempt charity to $157 billion for-profit market-paralyzing gorgon" in 8 years. Microsoft provided the infrastructure monopoly. OpenAI provided the model monopoly. Together they made sure no competitor could access capital OR compute. The complaint specifically names xAI as being unable to get Azure compute "on terms anywhere near as favorable as OpenAI receives." Translation: Even if you build a better model, you can't run it. Even if VCs want to fund you, they legally can't. Even if customers want to buy from you, you can't serve them. If you're building an AI company and wondering why fundraising feels impossible? This is why. The two biggest players allegedly rigged the game before you even showed up...

Elon's lawsuit EXPOSED OpenAI and Microsoft: They're functionally merged without ever filing merger paperwork. Microsoft invested $14 billion starting in 2019. Now owns 27% of OpenAI (valued at $135 billion). Has exclusive IP rights through 2032. Placed Microsoft VP Dee Templeton on OpenAI's board. And allegedly forces investors into "fund no competitors" deals. That's not an investment. That's a takeover. But it's actually genius: By keeping it structured as "partnership" instead of acquisition, they dodged antitrust review. No FTC approval needed. No DOJ investigation. No regulatory oversight. Meanwhile OpenAI committed to buying $250 billion of Azure cloud services. Microsoft gets 20% of OpenAI's revenue. OpenAI can only develop API products exclusively on Azure. And any AI startup that takes OpenAI investor money allegedly can't fund competitors. Just two companies controlling 70% of the AI market without anyone asking questions. Until now. The lawsuit claims OpenAI went from "tax-exempt charity to $157 billion for-profit market-paralyzing gorgon" in 8 years. Microsoft provided the infrastructure monopoly. OpenAI provided the model monopoly. Together they made sure no competitor could access capital OR compute. The complaint specifically names xAI as being unable to get Azure compute "on terms anywhere near as favorable as OpenAI receives." Translation: Even if you build a better model, you can't run it. Even if VCs want to fund you, they legally can't. Even if customers want to buy from you, you can't serve them. If you're building an AI company and wondering why fundraising feels impossible? This is why. The two biggest players allegedly rigged the game before you even showed up...

Ricardo

177,005 views • 9 months ago

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

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

George Noble

1,198,005 views • 6 months ago

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

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

George Noble

25,935 views • 4 months ago

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

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

George Noble

294,408 views • 1 month ago