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FLOKI LAUNCHES TOKENFI (with "TOKEN" ticker) TO CAPITALIZE ON THE TRILLION-DOLLAR TOKENIZATION INDUSTRY Floki has launched a crypto and asset tokenization platform named TokenFi to capitalize on the trillion-dollar tokenization industry. The tokenization industry is projected to be a $16 trillion industry by the year 2030. BlackRock, the world's biggest institutional investor with $10 trillion of assets under management, strongly believes in the industry's potential, which they call "the next evolution in markets". TokenFi, with the ticker TOKEN, aims to simplify the crypto and asset tokenization process and eventually become the foremost tokenization platform in the world. We will unveil the platform website on the 27th of October, and you can finally see what we've got planned, but for now, you can find the token details below. TOKENFI TOKEN DETAILS: - Token name: TokenFi - Token Ticker: TOKEN - Total supply: 10 billion tokens split across BSC and ETH (5 billion tokens on each chain). - Launch market cap: $50,000 circulating and $500,000 diluted market cap. - Industry targeted: Tokenization, Real World Assets, Launchpad. An initial 10% token supply will be added to Liquidity Pools on Uniswap and PancakeSwap to provide public liquidity and allow interested parties to trade. TRADING WILL COMMENCE ON UNISWAP AND PANCAKESWAP BY 3PM UTC ON OCTOBER, 27 2023. - BSC contract address: 0x4507cEf57C46789eF8d1a19EA45f4216bae2B528 - ETH contract address: 0x4507cEf57C46789eF8d1a19EA45f4216bae2B528 (NOTE: The contract address is the same on both the BSC and ETH chains). FLOKI stakers will earn 56% of the supply over a period of 4 years. The Floki community is known for being diamond-handed, and with TokenFi being in an industry with MASSIVE potential, FLOKI holders are the best candidates to receive the majority of TokenFi tokens. Since they would be staking their FLOKI tokens to get the new token, this will also ensure stability for the FLOKI token! TokenFi supply will be split evenly between the BSC and ETH chains: In other words, there will be 5 billion tokens on BSC and 5 billion tokens on ETH, to make for a combined total of 10 billion tokens. 5% of the supply will be paired with LP on BSC and the other 5% on ETH. This will make the starting circulating market cap on BSC a $25k market cap and on ETH a $25k market cap to make a combined initial circulating market cap of $50k and an initial fully diluted market cap of $500k (which will be gradually released to FLOKI stakers over a four year period). IMPORTANT INFORMATION FOR THE FIRST HOUR OF LAUNCH We understand that with this being a Floki token, there is a lot of hype. As a result, we have put measures in place to limit the impact of snipers on the token: Specifically, there will be a 1% wallet cap (of total supply) within the first hour of launch. That means no individual wallet can buy more than 100 million tokens within the first hour of the token becoming tradable. In addition, there will be an initial buy/sell transaction tax of 20% within the first hour. This transaction tax will do two things: 1) potentially limit the impact of snipers and 2) ensure a significant portion of whatever snipers/early buyers spend goes to the Floki treasury, which can be used for growth and development efforts. After the first hour, the wallet cap will be removed, and the transaction tax will be lowered to 5%. This 5% tax will remain in place for a week, after which the Floki DAO will vote on whether or not to remove or reduce it. We have instructed our exchange partners not to list TokenFi until this DAO vote. OUR PLAN FOR TOKENFI TokenFi is a well-thought-out concept that we have a strong capability to deliver on! We will unveil our roadmap with the launch of the TokenFi website on the 27th of October, 2023. However, we assure you that several TokenFi products are in advanced development on testnet and are due to go live in Q4 2023. In addition, we are working with some of the biggest names in the industry - especially from an institutional perspective - to make TokenFi a success, and they are quite excited about the concept and its potential. In our original DAO proposal, we already announced DWF Labs as our main institutional partner and market maker for TokenFi. We also announced a strategic partnership with World Table Tennis that will introduce TokenFi to a massive audience of 120 million people. We will announce many more partners in the coming weeks and months, and I'm sure that when you see the moves we have made, you will see why there is no better person to execute this vision than Floki!
1:00

FLOKI LAUNCHES TOKENFI (with "TOKEN" ticker) TO CAPITALIZE ON THE TRILLION-DOLLAR TOKENIZATION INDUSTRY Floki has launched a crypto and asset tokenization platform named TokenFi to capitalize on the trillion-dollar tokenization industry. The tokenization industry is projected to be a $16 trillion industry by the year 2030. BlackRock, the world's biggest institutional investor with $10 trillion of assets under management, strongly believes in the industry's potential, which they call "the next evolution in markets". TokenFi, with the ticker TOKEN, aims to simplify the crypto and asset tokenization process and eventually become the foremost tokenization platform in the world. We will unveil the platform website on the 27th of October, and you can finally see what we've got planned, but for now, you can find the token details below. TOKENFI TOKEN DETAILS: - Token name: TokenFi - Token Ticker: TOKEN - Total supply: 10 billion tokens split across BSC and ETH (5 billion tokens on each chain). - Launch market cap: $50,000 circulating and $500,000 diluted market cap. - Industry targeted: Tokenization, Real World Assets, Launchpad. An initial 10% token supply will be added to Liquidity Pools on Uniswap and PancakeSwap to provide public liquidity and allow interested parties to trade. TRADING WILL COMMENCE ON UNISWAP AND PANCAKESWAP BY 3PM UTC ON OCTOBER, 27 2023. - BSC contract address: 0x4507cEf57C46789eF8d1a19EA45f4216bae2B528 - ETH contract address: 0x4507cEf57C46789eF8d1a19EA45f4216bae2B528 (NOTE: The contract address is the same on both the BSC and ETH chains). FLOKI stakers will earn 56% of the supply over a period of 4 years. The Floki community is known for being diamond-handed, and with TokenFi being in an industry with MASSIVE potential, FLOKI holders are the best candidates to receive the majority of TokenFi tokens. Since they would be staking their FLOKI tokens to get the new token, this will also ensure stability for the FLOKI token! TokenFi supply will be split evenly between the BSC and ETH chains: In other words, there will be 5 billion tokens on BSC and 5 billion tokens on ETH, to make for a combined total of 10 billion tokens. 5% of the supply will be paired with LP on BSC and the other 5% on ETH. This will make the starting circulating market cap on BSC a $25k market cap and on ETH a $25k market cap to make a combined initial circulating market cap of $50k and an initial fully diluted market cap of $500k (which will be gradually released to FLOKI stakers over a four year period). IMPORTANT INFORMATION FOR THE FIRST HOUR OF LAUNCH We understand that with this being a Floki token, there is a lot of hype. As a result, we have put measures in place to limit the impact of snipers on the token: Specifically, there will be a 1% wallet cap (of total supply) within the first hour of launch. That means no individual wallet can buy more than 100 million tokens within the first hour of the token becoming tradable. In addition, there will be an initial buy/sell transaction tax of 20% within the first hour. This transaction tax will do two things: 1) potentially limit the impact of snipers and 2) ensure a significant portion of whatever snipers/early buyers spend goes to the Floki treasury, which can be used for growth and development efforts. After the first hour, the wallet cap will be removed, and the transaction tax will be lowered to 5%. This 5% tax will remain in place for a week, after which the Floki DAO will vote on whether or not to remove or reduce it. We have instructed our exchange partners not to list TokenFi until this DAO vote. OUR PLAN FOR TOKENFI TokenFi is a well-thought-out concept that we have a strong capability to deliver on! We will unveil our roadmap with the launch of the TokenFi website on the 27th of October, 2023. However, we assure you that several TokenFi products are in advanced development on testnet and are due to go live in Q4 2023. In addition, we are working with some of the biggest names in the industry - especially from an institutional perspective - to make TokenFi a success, and they are quite excited about the concept and its potential. In our original DAO proposal, we already announced DWF Labs as our main institutional partner and market maker for TokenFi. We also announced a strategic partnership with World Table Tennis that will introduce TokenFi to a massive audience of 120 million people. We will announce many more partners in the coming weeks and months, and I'm sure that when you see the moves we have made, you will see why there is no better person to execute this vision than Floki!

FLOKI

1,955,707 views • 2 years ago

Sam Altman just crashed two stock markets in 4 hours and exposed the AI bubble. OpenAI is delaying its public listing until 2027 because Altman REFUSES to accept a single dollar under a $1 trillion valuation. Asia opened to the news and the panic was instant: SoftBank fell 13% in Tokyo, its worst day in months. The Nikkei dropped 4.5%. South Korea's KOSPI crashed 8% and the Korea Exchange triggered circuit breakers on the futures market, then halted trading entirely for 20 minutes when the bleeding refused to stop. Hong Kong and Shanghai followed. US futures slid before market open. One report triggered all of it in roughly four hours, erasing trillions in market cap across three continents. The world's most valuable private company just admitted it doesn't believe public markets will pay its asking price so Altman's own bankers presented him with two options: He could list this year at a lower valuation or he could wait until 2027 and try for the full trillion. He picked the wait, and the New York Times quoted a source saying he called any haircut a "non-starter." So basically: The man building "the most important technology in human history" doesn't think investors who actually have to mark their positions to market every day will hand him a trillion dollars right now. The reason he's right to be scared is sitting on the SpaceX ticker. Elon Musk's company IPO'd three weeks ago at a record $1.77 trillion valuation. The stock has since collapsed from $225 to $153, a 32% drop in seven trading days. Musk lost his trillionaire status in the process and every other AI-adjacent name has been dragged down with it. Altman watched that happen in real time and decided he'd rather burn another 18 months of compute cash than risk the same humiliation. Meanwhile the financials underneath the trillion-dollar number look like this: OpenAI did $13 billion in revenue last year on a $21 billion net loss. The company has committed roughly $600 billion in compute and hardware spending through 2030. Revenue is climbing to $2 billion a month, but the spending climbs faster. They are losing money at a scale that would have ended any other company in tech history, and the only thing keeping the lights on is the next funding round at the next higher number. The system Altman built depends on one thing: Each round has to price higher than the last, because that's what convinces the next round of investors to keep writing checks. The moment public markets refuse to pay the markup, the whole structure starts pricing itself the other direction. Anthropic already overtook OpenAI's last private valuation at $965 billion in May. SpaceX is showing what happens when reality finally hits. And SoftBank, the company that has bet $60 billion of borrowed money on OpenAI hitting that trillion-dollar mark, just had its worst session in weeks because the timer on Masayoshi Son's exit got pushed out another full year. Son spent yesterday at the shareholder meeting calling SoftBank "the goose that lays golden eggs." But the takeaway here is the TIMING: Altman's advisors told him retail enthusiasm "may be limited given current market jitters." That is banker code for "the bubble is showing cracks and you'll get embarrassed if you try this right now." The man who has been telling Congress, the press, and the public that AI will reshape civilization just looked at the order book and decided he doesn't want to find out what it's actually worth. The real story here goes beyond the delay itself. The most aggressive, hype-trained, valuation-obsessed CEO in modern technology just chose to wait rather than face a market that might say no. When the loudest believer flinches, the rest of us should probably pay attention.
1:03

Sam Altman just crashed two stock markets in 4 hours and exposed the AI bubble. OpenAI is delaying its public listing until 2027 because Altman REFUSES to accept a single dollar under a $1 trillion valuation. Asia opened to the news and the panic was instant: SoftBank fell 13% in Tokyo, its worst day in months. The Nikkei dropped 4.5%. South Korea's KOSPI crashed 8% and the Korea Exchange triggered circuit breakers on the futures market, then halted trading entirely for 20 minutes when the bleeding refused to stop. Hong Kong and Shanghai followed. US futures slid before market open. One report triggered all of it in roughly four hours, erasing trillions in market cap across three continents. The world's most valuable private company just admitted it doesn't believe public markets will pay its asking price so Altman's own bankers presented him with two options: He could list this year at a lower valuation or he could wait until 2027 and try for the full trillion. He picked the wait, and the New York Times quoted a source saying he called any haircut a "non-starter." So basically: The man building "the most important technology in human history" doesn't think investors who actually have to mark their positions to market every day will hand him a trillion dollars right now. The reason he's right to be scared is sitting on the SpaceX ticker. Elon Musk's company IPO'd three weeks ago at a record $1.77 trillion valuation. The stock has since collapsed from $225 to $153, a 32% drop in seven trading days. Musk lost his trillionaire status in the process and every other AI-adjacent name has been dragged down with it. Altman watched that happen in real time and decided he'd rather burn another 18 months of compute cash than risk the same humiliation. Meanwhile the financials underneath the trillion-dollar number look like this: OpenAI did $13 billion in revenue last year on a $21 billion net loss. The company has committed roughly $600 billion in compute and hardware spending through 2030. Revenue is climbing to $2 billion a month, but the spending climbs faster. They are losing money at a scale that would have ended any other company in tech history, and the only thing keeping the lights on is the next funding round at the next higher number. The system Altman built depends on one thing: Each round has to price higher than the last, because that's what convinces the next round of investors to keep writing checks. The moment public markets refuse to pay the markup, the whole structure starts pricing itself the other direction. Anthropic already overtook OpenAI's last private valuation at $965 billion in May. SpaceX is showing what happens when reality finally hits. And SoftBank, the company that has bet $60 billion of borrowed money on OpenAI hitting that trillion-dollar mark, just had its worst session in weeks because the timer on Masayoshi Son's exit got pushed out another full year. Son spent yesterday at the shareholder meeting calling SoftBank "the goose that lays golden eggs." But the takeaway here is the TIMING: Altman's advisors told him retail enthusiasm "may be limited given current market jitters." That is banker code for "the bubble is showing cracks and you'll get embarrassed if you try this right now." The man who has been telling Congress, the press, and the public that AI will reshape civilization just looked at the order book and decided he doesn't want to find out what it's actually worth. The real story here goes beyond the delay itself. The most aggressive, hype-trained, valuation-obsessed CEO in modern technology just chose to wait rather than face a market that might say no. When the loudest believer flinches, the rest of us should probably pay attention.

Ricardo

68,979 views • 2 months ago

Nebius will be a trillion dollar company (Save this). The neocloud market, purpose-built AI cloud infrastructure, separate from legacy hyperscalers generated roughly $25 billion in revenue in 2025, up 223% year over year. Synergy Research projects it will approach $400 billion by 2031, compounding at 58% annually one of the fastest sustained growth rates ever recorded for an infrastructure category of this scale. The CEO's explanation for why they win is worth understanding in detail. GPU compute is scarce and that part everyone knows but Nebius is not simply renting GPUs by the hour and marking them up, which is what most neocloud imitators do. They have built their own physical capacity for inference, optimized the full technology stack from the software layer all the way down to the rack hardware and recently acquired a company called Agen specifically to push inference latency even lower and throughput even higher. The CEO frames the core problem directly that in 2026, every product you build is powered by tokens, AI intelligence and while you can get those tokens from OpenAI or Anthropic via a simple API call, the moment you want to run open source models, specialized vertical models, or anything other than the two dominant frontier labs, you run into a wall. You can download the weights from Hugging Face and assemble the pieces. But getting those workloads to run at scale, at the economics you need, with the reliability your product requires, is an extraordinarily complex engineering challenge that most companies cannot staff or afford to solve in-house. That is the problem Nebius is solving, and that is why their inference product called Token Factory exists. The financial results are among the most dramatic growth numbers reported by any public company this year. In Q1 2026, Nebius posted $399 million in revenue, a 684% increase from the same quarter a year earlier. In the span of twelve months, the company swung from a $104 million net loss to $621 million in net income. Cash from operations went from negative $184 million to positive $2.26 billion in the same period meaning this is not growth funded by burning investor capital, it is growth that is now generating its own fuel. For the full year 2026, Nebius is guiding for an annualized revenue run rate of $7 billion to $9 billion, with pipeline creation tracking to surpass $4 billion. The contracted backlog sits at $49 billion, anchored by a $27 billion agreement with Meta, a deal worth up to $19.4 billion with Microsoft, and a public endorsement from Jensen Huang at NVIDIA's GTC conference in 2026. The current market cap is approximately $56 billion. A company with $7 to $9 billion in annualized revenue, growing at 684%, turning cash-flow positive, sitting on $49 billion in contracted backlog, operating in a market compounding at 58% annually toward $400 billion, that company has a credible path to 20x from its current valuation if execution holds. That is the trillion dollar case, and it does not require any heroic assumptions and it requires Nebius to keep doing what it is already demonstrably doing. Milk Road Pro called this one early. Our analysts added Nebius to the portfolio when it was still flying under the radar, and we are sitting on a massive gain on that position right now. If you want to see what else we are building conviction on before the rest of the market catches up, come join us at Milk Road Pro using the link below!
1:04

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

Milk Road AI

28,622 views • 3 months ago

Elon Musk just told lenders he's paying back $17.5 BILLION in debt across X and xAI. Including $3 billion in high-yield bonds being redeemed early at 117 cents on the dollar. NOBODY knows where the money is coming from. And nobody seems to care. Let me explain why you should: Morgan Stanley has been calling existing lenders and telling them everything gets repaid in full. The X debt from the Twitter buyout. The xAI bonds from June. All of it. The bonds were structured to stay outstanding for at least 2 years. They're being called back less than a year later at a 17% premium. Bondholders are thrilled. Of course they are. They're getting paid above par on junk paper. But here's the part that should make you uncomfortable: xAI lost $1.46 billion in a single quarter last year. Burned through $7.8 billion in cash in the first 9 months of 2025. Revenue for the September quarter was $107 million. That's a company hemorrhaging roughly $1 billion a month. On a standalone basis, xAI exited 2025 at about a $500 million annualized revenue run rate. Even with optimistic projections, they might hit $2 billion in 2026. So where does $17.5 billion come from? xAI raised $20 billion in a Series E round in January. That's the most likely answer. Take the money investors gave you to build AI infrastructure and use a huge chunk of it to retire debt. But that's NOT a sign of strength. That's financial engineering. You raise $20 billion from investors who think they're funding the next frontier of artificial intelligence, then you turn around and use most of it to clean up the balance sheet before an IPO. Because that's what this is really about. SpaceX is targeting a confidential SEC filing as early as this month. IPO could come in June. Valuation targets exceed $1.75 trillion. The combined SpaceX-xAI entity currently carries about $18 billion in obligations. You can't take a $1.25 trillion company public with $18 billion in legacy debt from a money-losing AI startup and a social media platform that was acquired with leveraged buyout financing. So you nuke the debt. Clean the balance sheet. Present a simpler story to IPO investors. Smart? Absolutely. But let's be honest about what it actually is. SpaceX proper generated about $15 billion in revenue and $8 billion in profit in 2025. xAI generated roughly $250 million in six months and lost $2.5 billion doing it. At a $1.5 trillion IPO valuation, you're looking at roughly 94x trailing sales and 500x trailing earnings for the combined business. Those are not rational multiples. Those are lottery ticket multiples with better branding. And the $17.5 billion debt payoff doesn't change the underlying economics. It only changes the optics. xAI is still burning close to $1 billion a month. Grok still has a fraction of ChatGPT's market share. The revenue doesn't come close to justifying the infrastructure spend. What this reminds me of is the classic pre-IPO playbook taken to an extreme: Use private capital to dress up the financials, time the listing for maximum enthusiasm, and let public market investors hold the bag if execution falls short. The companies that need to clean house before going public are rarely the ones that reward you for buying on day one. My positioning hasn't changed. The AI infrastructure spending boom is real. But the returns aren't materializing for the companies actually deploying the technology. That gap between spending and results is where fortunes get destroyed. Stay skeptical. Stay disciplined. And remember: If the source of $17.5 billion in repayment capital is a mystery, it's a WARNING.
0:48

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

George Noble

471,839 views • 5 months ago

Most people focus on finding the perfect entry. But successful investing is often about consistency, not prediction. That's why DCA (Dollar Cost Averaging) has become one of the most popular long-term investing strategies. With the BINANCE TH 8-Week DCA Challenge, users who build a consistent DCA habit may also receive cashback rewards in BNB. ✅ Join the campaign FIRST ✅ Start a DCA Plan ✅ Continue investing regularly ✅ Earn 5% Cashback in BNB ✅ Rewards up to 1,500 THB The real value isn't just the cashback. It's creating a disciplined investing habit that removes emotion and helps you stay consistent through different market conditions. Referral Code: BTCCSxBNTH1 Referral Link: Campaign: #BinanceTH Cryptocurrencies and digital tokens carry high risks. You may lose all your investment. Please study and invest based on your acceptable risk level. This post is created by the page itself as a BINANCE TH Affiliate, with the sole purpose of introducing users to digital tokens. It does not constitute investment advice or solicitation to invest. Interested parties should study the information and consider its suitability before making an investment decision.
1:29

Most people focus on finding the perfect entry. But successful investing is often about consistency, not prediction. That's why DCA (Dollar Cost Averaging) has become one of the most popular long-term investing strategies. With the BINANCE TH 8-Week DCA Challenge, users who build a consistent DCA habit may also receive cashback rewards in BNB. ✅ Join the campaign FIRST ✅ Start a DCA Plan ✅ Continue investing regularly ✅ Earn 5% Cashback in BNB ✅ Rewards up to 1,500 THB The real value isn't just the cashback. It's creating a disciplined investing habit that removes emotion and helps you stay consistent through different market conditions. Referral Code: BTCCSxBNTH1 Referral Link: Campaign: #BinanceTH Cryptocurrencies and digital tokens carry high risks. You may lose all your investment. Please study and invest based on your acceptable risk level. This post is created by the page itself as a BINANCE TH Affiliate, with the sole purpose of introducing users to digital tokens. It does not constitute investment advice or solicitation to invest. Interested parties should study the information and consider its suitability before making an investment decision.

BTC_Chopsticks

32,194 views • 2 months ago

Chamath and Larry Summers Debate the Market Reaction to Trump's Tariffs Lawrence H. Summers: "If this is such a terrific thing, why do markets think it's so terrible for the American economy?" "Maybe the market's just completely wrong ... but the job of markets is to look forward." "It's to look passed the immediate." "It's to see what the long run consequences are going to be." "And markets are making a pretty devastatingly negative judgment on this step." Chamath Palihapitiya: " Larry, that's not true." " So let's just establish a couple facts about 'the markets.'" "Number one, there are two markets and they behave totally differently, and sometimes inversely to each other." "There's the stock market and there's the bond market." 1) Stocks: mean reversion "With respect to the stock market, what they are debating, and you're right Larry, is what is the effective long-term rate of return a dollar needs to generate in order to pay me back that dollar?" "That is what the fundamental stock market does." "And what we've seen for many years with trade imbalances, trade deficits, and close-to-zero interest rates, of which more of that happened under Democrats than Republicans, we have allowed the stock market to inflate past historical averages." " What we've actually seen happen in the last week is what most people would call mean reversion." "The stock market is still way above where it was last year, two years ago, three years ago." "What has happened is that the forward multiples have compressed. So that's number one. That's a fact." 2) Bonds: it's possible a major trade blew up "And then with respect to bonds, what we are seeing now is there are two very complicated issues." "In the last two days, we saw one part of the bond market totally get out of whack." "And what we know is that the yields changed materially in a very acute way, which is atypical of how the bond market typically digests a philosophical change in approach to policy." " What we heard in the last 24 hours is a lot of this move may have been attributed to an enormous levered bet on US treasuries by a Japanese hedge fund." " It will take three, and four, and five, and six weeks for us to really know." 3) Private credit: something to watch closely " Separately, what we do know, though, where the structural complexity of the market — and this is where, Larry, I agree with you — is acute and important to observe is in the credit markets for private companies." "And that is where you have to pay a lot of attention."
2:18

Chamath and Larry Summers Debate the Market Reaction to Trump's Tariffs Lawrence H. Summers: "If this is such a terrific thing, why do markets think it's so terrible for the American economy?" "Maybe the market's just completely wrong ... but the job of markets is to look forward." "It's to look passed the immediate." "It's to see what the long run consequences are going to be." "And markets are making a pretty devastatingly negative judgment on this step." Chamath Palihapitiya: " Larry, that's not true." " So let's just establish a couple facts about 'the markets.'" "Number one, there are two markets and they behave totally differently, and sometimes inversely to each other." "There's the stock market and there's the bond market." 1) Stocks: mean reversion "With respect to the stock market, what they are debating, and you're right Larry, is what is the effective long-term rate of return a dollar needs to generate in order to pay me back that dollar?" "That is what the fundamental stock market does." "And what we've seen for many years with trade imbalances, trade deficits, and close-to-zero interest rates, of which more of that happened under Democrats than Republicans, we have allowed the stock market to inflate past historical averages." " What we've actually seen happen in the last week is what most people would call mean reversion." "The stock market is still way above where it was last year, two years ago, three years ago." "What has happened is that the forward multiples have compressed. So that's number one. That's a fact." 2) Bonds: it's possible a major trade blew up "And then with respect to bonds, what we are seeing now is there are two very complicated issues." "In the last two days, we saw one part of the bond market totally get out of whack." "And what we know is that the yields changed materially in a very acute way, which is atypical of how the bond market typically digests a philosophical change in approach to policy." " What we heard in the last 24 hours is a lot of this move may have been attributed to an enormous levered bet on US treasuries by a Japanese hedge fund." " It will take three, and four, and five, and six weeks for us to really know." 3) Private credit: something to watch closely " Separately, what we do know, though, where the structural complexity of the market — and this is where, Larry, I agree with you — is acute and important to observe is in the credit markets for private companies." "And that is where you have to pay a lot of attention."

The All-In Podcast

98,290 views • 1 year ago

Chamath Palihapitiya just dropped the number that explains the entire AI infrastructure trade (Save this). A gigawatt of compute now costs $100 billion and when he started his Arizona data center project it was $4 to $5 billion, it has gone up 20x in a single investment cycle. The implication is not just that AI infrastructure is expensive but rather that the capital barrier to owning meaningful compute has become so high that only a handful of entities in the world can actually build it and the companies who got there early are sitting on what may be the most durable pricing power in the history of the technology industry. This is the neocloud trade. The neocloud market, purpose-built GPU cloud providers like CoreWeave, Nebius, and Lambda Labs was worth $35 billion in 2026 and is projected to reach $236 billion by 2031, compounding at 46% annually. For context, that is faster growth than cloud computing itself posted in its first decade. The reason is very simple, hyperscalers like AWS, Azure, and Google are building for everything, storage, databases, enterprise software, networking and their GPU pricing reflects the overhead of that full-stack infrastructure. Neoclouds build for one thing only, AI compute. The result is a 60% to 85% cost advantage on the same Nvidia silicon, bare metal H100s at $0.78 to $2.79 per GPU-hour on a neocloud versus $3.43 to $5.07 per GPU-hour on a hyperscaler. That spread does not close as AI demand scales but rather it widens, because hyperscalers have to amortize legacy infrastructure and margin expectations that neoclouds do not carry. Gartner projects that by 2030, neoclouds will capture 20% of the $267 billion AI cloud market, and Vultr's own analysis says at least 80% of GPU market share by end of 2026 will be held by a small group of scaled neocloud providers. Now zoom into Nebius specifically, because it is the most interesting publicly traded proxy for this trade. Nebius is the infrastructure arm of the former Yandex Russia's equivalent of Google rebuilt from the ground up after Russia's invasion of Ukraine by Arkady Volozh and relisted on Nasdaq in October 2024. The team that built it already knew how to run internet-scale infrastructure at the lowest possible cost, which is exactly the operational DNA a neocloud requires. In Q1 2026, Nebius reported revenue of $399 million and already generating serious cash on a young business with revenue growing nearly eightfold year-over-year. Then in March 2026, Meta signed a five-year infrastructure agreement with Nebius worth up to $27 billion, $12 billion in committed dedicated GPU capacity deployments beginning early 2027, plus up to $15 billion more tied to Meta purchasing Nebius's unsold third-party capacity. The deal will be executed on one of the first large-scale deployments of Nvidia's Vera Rubin platform, the next-generation architecture after Blackwell making Nebius one of a tiny number of operators in the world with confirmed priority access to the most advanced AI hardware available. Following the contract, Nebius guided to $7 to $9 billion in annualized recurring revenue for 2026 representing 540% year-over-year growth. Chamath Palihapitiya point about the $100 billion capital moat is the bear case for new entrants and the bull case for incumbents. No one can afford to build the next CoreWeave or Nebius from scratch at current hardware and power costs. The companies that are already built, already contracted, and already deploying Nvidia's latest silicon have a moat that compounds with every GPU generation cycle because they get allocations first, they deploy fastest, and their customers re-sign rather than wait for a new operator that does not yet exist. Come join Milk Road Pro for our full breakdown, the complete neocloud competitive landscape, how to think about Nebius's valuation versus CoreWeave and AI entire thesis. Link below.
0:20

Chamath Palihapitiya just dropped the number that explains the entire AI infrastructure trade (Save this). A gigawatt of compute now costs $100 billion and when he started his Arizona data center project it was $4 to $5 billion, it has gone up 20x in a single investment cycle. The implication is not just that AI infrastructure is expensive but rather that the capital barrier to owning meaningful compute has become so high that only a handful of entities in the world can actually build it and the companies who got there early are sitting on what may be the most durable pricing power in the history of the technology industry. This is the neocloud trade. The neocloud market, purpose-built GPU cloud providers like CoreWeave, Nebius, and Lambda Labs was worth $35 billion in 2026 and is projected to reach $236 billion by 2031, compounding at 46% annually. For context, that is faster growth than cloud computing itself posted in its first decade. The reason is very simple, hyperscalers like AWS, Azure, and Google are building for everything, storage, databases, enterprise software, networking and their GPU pricing reflects the overhead of that full-stack infrastructure. Neoclouds build for one thing only, AI compute. The result is a 60% to 85% cost advantage on the same Nvidia silicon, bare metal H100s at $0.78 to $2.79 per GPU-hour on a neocloud versus $3.43 to $5.07 per GPU-hour on a hyperscaler. That spread does not close as AI demand scales but rather it widens, because hyperscalers have to amortize legacy infrastructure and margin expectations that neoclouds do not carry. Gartner projects that by 2030, neoclouds will capture 20% of the $267 billion AI cloud market, and Vultr's own analysis says at least 80% of GPU market share by end of 2026 will be held by a small group of scaled neocloud providers. Now zoom into Nebius specifically, because it is the most interesting publicly traded proxy for this trade. Nebius is the infrastructure arm of the former Yandex Russia's equivalent of Google rebuilt from the ground up after Russia's invasion of Ukraine by Arkady Volozh and relisted on Nasdaq in October 2024. The team that built it already knew how to run internet-scale infrastructure at the lowest possible cost, which is exactly the operational DNA a neocloud requires. In Q1 2026, Nebius reported revenue of $399 million and already generating serious cash on a young business with revenue growing nearly eightfold year-over-year. Then in March 2026, Meta signed a five-year infrastructure agreement with Nebius worth up to $27 billion, $12 billion in committed dedicated GPU capacity deployments beginning early 2027, plus up to $15 billion more tied to Meta purchasing Nebius's unsold third-party capacity. The deal will be executed on one of the first large-scale deployments of Nvidia's Vera Rubin platform, the next-generation architecture after Blackwell making Nebius one of a tiny number of operators in the world with confirmed priority access to the most advanced AI hardware available. Following the contract, Nebius guided to $7 to $9 billion in annualized recurring revenue for 2026 representing 540% year-over-year growth. Chamath Palihapitiya point about the $100 billion capital moat is the bear case for new entrants and the bull case for incumbents. No one can afford to build the next CoreWeave or Nebius from scratch at current hardware and power costs. The companies that are already built, already contracted, and already deploying Nvidia's latest silicon have a moat that compounds with every GPU generation cycle because they get allocations first, they deploy fastest, and their customers re-sign rather than wait for a new operator that does not yet exist. Come join Milk Road Pro for our full breakdown, the complete neocloud competitive landscape, how to think about Nebius's valuation versus CoreWeave and AI entire thesis. Link below.

Milk Road AI

139,047 views • 2 months ago

Elon Musk's biggest competitor is secretly paying him $1.25 BILLION per month. SpaceX just revealed its financials for the first time in 23 years of existence. And buried deep in the S-1 is a detail that changes how you should think about the entire AI race. Anthropic, the company building Claude, the company that positions itself as OpenAI's biggest threat, the company valued at over $100 billion, is paying SpaceX $1.25 billion EVERY SINGLE MONTH for compute capacity through May 2029. That is $15 billion a year flowing directly from Elon's top AI competitor into Elon's bank account. Think about what that means: Every time Anthropic trains a new model, improves Claude, or lands an enterprise customer, a massive chunk of that revenue goes straight to the guy who owns the competing AI product. Anthropic is literally funding the war against itself. And that's just the beginning of what this filing reveals... The entire SpaceX IPO is structured around a bet most people haven't figured out yet. In 2025, SpaceX spent $20 billion in capex. 60% of that, roughly $12 billion, went to AI infrastructure. Rockets and satellites got the leftovers. In Q1 2026 alone, $7.7 billion out of $10 billion in total capex went to AI. The "rocket company" is spending like an AI company. Meanwhile, xAI, the division that houses Grok, generated $3.2 billion in revenue for the full year of 2025. But its R&D costs TRIPLED to $5 billion. It's burning cash at a pace that would have destroyed it as a standalone company. Which is exactly why Elon merged it into SpaceX two months before filing the IPO. And Starlink is the engine that makes the whole thing work: $11.4 billion in revenue, $4.4 billion in operating profit, and 10.3 million subscribers across 164 countries. It's one of the most profitable subscription businesses on the planet right now. But the average revenue per user DROPPED from $99 per month in 2023 to $66 per month in March 2026. Subscribers quadrupled but each one is paying a third less. Starlink is growing by getting cheaper. SpaceX has lost $37 BILLION since it was founded. Net loss in 2025 was $4.9 billion. This is a company that has never turned an annual profit in 23 years of operation, and it is about to IPO at a $1.75 trillion valuation. And the total addressable market SpaceX claims in the filing is $28.5 trillion. That is a QUARTER of global GDP. So here is what investors are actually buying when this IPO prices: They are buying the most profitable satellite internet business in history, stapled to an AI lab that is burning cash, wrapped inside a Mars colonization pitch that requires building a permanent city on another planet, funded by monthly billion-dollar payments from a direct competitor who has no other option for compute at that scale. This is the kind of thing only Elon could pull off.
2:03

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

Ricardo

208,631 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!
1:00

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

Barry Sternlicht gives an insightful view about the challenges of real estate right now - and how to still make a lot of money in the current environment Here's what he said: "I think people, as they always do, tend to look in the rear view mirror and they look at a suboptimal performance of the real estate asset class across the last 3-4 years. Nvidia goes up a trillion dollars in four months. Like the hot kids on the block are everything AI, everything chatbot, etc... There are meme stocks that go from zero to $7 a share on a tweet. Crypto - there's worthless coins with $20+ billion dollar market caps. There's a coin called Useless. It's [literally] useless. It debuted in March 2025 and it went to a $700 million value. And the coin says "we are completely useless" In real estate people get rich but it's boring. You get rich holding on to it over long periods of time. It's not a day trading asset. The country right now is very impatient. So people want to play the hot thing. Real estate looks sort of sad in your portfolio right now. The only thing it beats is treasuries. And even then, it's not even beaten that. But you'll do well picking properties in the right cities... Everything is micro in real estate. For example, I built a building in South Beach. The first lease was $54. It's on the beach, and nobody built a new office building in 20+ years. We leased it up in the pandemic. It's 100% leased. A tenant actually needs to grow, and they called us last week. They're paying $125 and we'll re-lease it at $175. I mean, you can still make a lot of money if you get the micro market right."
1:44

Barry Sternlicht gives an insightful view about the challenges of real estate right now - and how to still make a lot of money in the current environment Here's what he said: "I think people, as they always do, tend to look in the rear view mirror and they look at a suboptimal performance of the real estate asset class across the last 3-4 years. Nvidia goes up a trillion dollars in four months. Like the hot kids on the block are everything AI, everything chatbot, etc... There are meme stocks that go from zero to $7 a share on a tweet. Crypto - there's worthless coins with $20+ billion dollar market caps. There's a coin called Useless. It's [literally] useless. It debuted in March 2025 and it went to a $700 million value. And the coin says "we are completely useless" In real estate people get rich but it's boring. You get rich holding on to it over long periods of time. It's not a day trading asset. The country right now is very impatient. So people want to play the hot thing. Real estate looks sort of sad in your portfolio right now. The only thing it beats is treasuries. And even then, it's not even beaten that. But you'll do well picking properties in the right cities... Everything is micro in real estate. For example, I built a building in South Beach. The first lease was $54. It's on the beach, and nobody built a new office building in 20+ years. We leased it up in the pandemic. It's 100% leased. A tenant actually needs to grow, and they called us last week. They're paying $125 and we'll re-lease it at $175. I mean, you can still make a lot of money if you get the micro market right."

Triple Net Investor

129,093 views • 6 months ago

2019: Tesla ~$70B, SpaceX ~$36B. Highly contrarian. 2026: Tesla ~$1.3T, SpaceX ~$800B. Everyone wants in. Among the most valuable companies on Earth today, Shaun Maguire explains how he & early investors built conviction on Elon long before the market did "I know this sounds crazy, but SpaceX in 2019 was a highly contrarian investment. It was a very hard investment to convince people to do, & I didn’t even really believe in it the year prior." "They were valued at $36 billion in 2019. So investing at 36x the theoretical maximum earnings—where you wouldn’t be growing very much if you didn’t find another market—people just thought it was insane or stupid." "There was a weird two-year period where it was underappreciated. Then after Starlink got to about $1 billion of revenue—which was very fast, about 12 months after their first dollar of revenue—they were at about $1 billion of run rate. I’d say at that point it became an extremely consensus investment." Shaun Maguire (Shaun Maguire), Partner Sequoia Capital Elon Musk (Elon Musk) . . . "What was the process to first get into SpaceX? Because I can't imagine that environment was at all as enthusiastic as this environment." "No, look—I know this sounds crazy, but SpaceX in 2019 was a highly contrarian investment. It was a very hard investment to convince people to do, and I didn’t even really believe in it the year prior. And I know it sounds crazy today, but a few things: SpaceX in 2019 was just a launch company. In 2019 they did 13 launches. The total global launch market—it depends how you count it, whether you count China or government launches—but I’d say in 2019 it was probably like a $5–6 billion addressable market. And at the time, the way people thought about the theoretical maximum EBITDA on a launch was like 40%, so it’s about $2 billion of EBITDA if you capture 100% of the market. And it’s an industry that requires a lot of CapEx investment and depreciating assets, so you probably have like a billion of profit if you capture 100% of the market. And they were valued at $36 billion in 2019. So investing at 36 times the theoretical maximum earnings—where you wouldn’t be growing very much if you didn’t find another market—people just thought it was insane or stupid. And when I say people, there were some visionary investors that invested very early. I believe in giving credit where credit is due—you have people like Founders Fund, Valor, VY, Steve Jurvetson from DFJ. You have people that really understood the long-term potential way before I did. But in 2019 it was extremely contrarian. Another thing was Elon at the time—Tesla when we first invested was about a $70 billion market cap company, a couple years after production hell—and the perception wasn’t what it is today. And for Starlink, basically every prior internet constellation had failed. And if I deserve credit for something, it’s that with my background in physics and communications I was able to understand that Starlink was actually going to work about a year before it was working, and to understand what questions to ask to underwrite that. There was this weird moment in time where people were assigning basically zero credit to Starlink because prior internet constellations had failed, and were assuming the launch market was not going to grow. And Starship was basically something people were assigning zero value to. There was a weird two-year period where it was underappreciated. Then after Starlink got to about a billion of revenue—which was very fast, about 12 months after their first dollar of revenue—they were at about a billion of run rate. I’d say at that point it became an extremely consensus investment. So there was this weird two-year period where you could buy a lot of shares where people didn’t get it, and now it’s like good luck finding shares—no one wants to sell. And I’m very excited for the IPO. It’s gonna be pretty incredible."
4:15

2019: Tesla ~$70B, SpaceX ~$36B. Highly contrarian. 2026: Tesla ~$1.3T, SpaceX ~$800B. Everyone wants in. Among the most valuable companies on Earth today, Shaun Maguire explains how he & early investors built conviction on Elon long before the market did "I know this sounds crazy, but SpaceX in 2019 was a highly contrarian investment. It was a very hard investment to convince people to do, & I didn’t even really believe in it the year prior." "They were valued at $36 billion in 2019. So investing at 36x the theoretical maximum earnings—where you wouldn’t be growing very much if you didn’t find another market—people just thought it was insane or stupid." "There was a weird two-year period where it was underappreciated. Then after Starlink got to about $1 billion of revenue—which was very fast, about 12 months after their first dollar of revenue—they were at about $1 billion of run rate. I’d say at that point it became an extremely consensus investment." Shaun Maguire (Shaun Maguire), Partner Sequoia Capital Elon Musk (Elon Musk) . . . "What was the process to first get into SpaceX? Because I can't imagine that environment was at all as enthusiastic as this environment." "No, look—I know this sounds crazy, but SpaceX in 2019 was a highly contrarian investment. It was a very hard investment to convince people to do, and I didn’t even really believe in it the year prior. And I know it sounds crazy today, but a few things: SpaceX in 2019 was just a launch company. In 2019 they did 13 launches. The total global launch market—it depends how you count it, whether you count China or government launches—but I’d say in 2019 it was probably like a $5–6 billion addressable market. And at the time, the way people thought about the theoretical maximum EBITDA on a launch was like 40%, so it’s about $2 billion of EBITDA if you capture 100% of the market. And it’s an industry that requires a lot of CapEx investment and depreciating assets, so you probably have like a billion of profit if you capture 100% of the market. And they were valued at $36 billion in 2019. So investing at 36 times the theoretical maximum earnings—where you wouldn’t be growing very much if you didn’t find another market—people just thought it was insane or stupid. And when I say people, there were some visionary investors that invested very early. I believe in giving credit where credit is due—you have people like Founders Fund, Valor, VY, Steve Jurvetson from DFJ. You have people that really understood the long-term potential way before I did. But in 2019 it was extremely contrarian. Another thing was Elon at the time—Tesla when we first invested was about a $70 billion market cap company, a couple years after production hell—and the perception wasn’t what it is today. And for Starlink, basically every prior internet constellation had failed. And if I deserve credit for something, it’s that with my background in physics and communications I was able to understand that Starlink was actually going to work about a year before it was working, and to understand what questions to ask to underwrite that. There was this weird moment in time where people were assigning basically zero credit to Starlink because prior internet constellations had failed, and were assuming the launch market was not going to grow. And Starship was basically something people were assigning zero value to. There was a weird two-year period where it was underappreciated. Then after Starlink got to about a billion of revenue—which was very fast, about 12 months after their first dollar of revenue—they were at about a billion of run rate. I’d say at that point it became an extremely consensus investment. So there was this weird two-year period where you could buy a lot of shares where people didn’t get it, and now it’s like good luck finding shares—no one wants to sell. And I’m very excited for the IPO. It’s gonna be pretty incredible."

Molly O’Shea

348,769 views • 6 months ago

One guy just raised $475 million for a company that's 2 months old No product. No revenue. No prototype. But a $4.5 BILLION valuation. Unconventional AI closed a $475 million seed round last week. Founded in September 2025. That's 8 weeks from launch to half a billion dollars. But what did they actually build? Nothing (yet). Here's what happened: Naveen Rao left Databricks in September as Head of AI. Started Unconventional AI with zero public details. Two months later: $475M from Andreessen Horowitz, Lightspeed, Jeff Bezos. The pitch? "We're building computers as efficient as biology." That's it. No technical paper. No demo. No proof of concept. Just a guy who sold his last company for $1.3 billion saying "trust me, I'm building brain computers." VCs threw half a billion at him. Why this deal is insane: AI is hitting an energy wall. Training GPT-4 cost $100 million in compute. So everyone's betting on new hardware that uses less energy. Neuromorphic chips. Brain-inspired computing. Analog circuits. Except nobody's proven it works at scale. VCs aren't funding the technology. They're funding the NARRATIVE. "AI needs new hardware or the whole thing collapses." When a guy who sold two AI companies for $1.7 billion combined says "I'm building the chip that saves AI" - VCs panic-buy equity. The track record that bought half a billion: 2016: Sold Nervana Systems to Intel for $350M 2023: Sold MosaicML to Databricks for $1.3B 2024: Raises $475M for a company with zero product That's his playbook. Build credibility with two exits. Use that to raise stupid money for attempt #3. The market WANTS to believe the next AI breakthrough is around the corner. So they fund it preemptively. But what nobody's saying: This isn't a seed round. It's a pre-IPO. $4.5 billion valuation means Unconventional AI is worth more than 90% of public tech companies. With literally no product. Rao admitted: "We're not going to have a product in two years. This is largely a research effort." Translation: You just gave me half a billion to fuck around in a lab for 24+ months. VCs don't care because they're playing a different game. If it works, they 100x their money. If it fails, they write it off. Unconventional AI raised more in 2 months than 99.99% of startups raise ever. No customers. No revenue. No proof. And the entire Valley said "here's $475 million." This is what happens when an industry has infinite money and zero patience. They stop funding innovation and start funding PROMISES of innovation. You can't be wrong if the product doesn't exist yet. My takeaway from this: If you have two exits, you can raise stupid money for anything. The idea doesn't have to be proven. The tech doesn't have to exist. You just need VCs to believe YOU are the person who MIGHT solve the problem. Not "build something great and raise money." But "convince investors you COULD build something great, then raise before you've built anything." Unconventional AI is either the future of computing or the biggest vaporware play since Theranos. We'll find out in 2027. What do you think?
0:42

One guy just raised $475 million for a company that's 2 months old No product. No revenue. No prototype. But a $4.5 BILLION valuation. Unconventional AI closed a $475 million seed round last week. Founded in September 2025. That's 8 weeks from launch to half a billion dollars. But what did they actually build? Nothing (yet). Here's what happened: Naveen Rao left Databricks in September as Head of AI. Started Unconventional AI with zero public details. Two months later: $475M from Andreessen Horowitz, Lightspeed, Jeff Bezos. The pitch? "We're building computers as efficient as biology." That's it. No technical paper. No demo. No proof of concept. Just a guy who sold his last company for $1.3 billion saying "trust me, I'm building brain computers." VCs threw half a billion at him. Why this deal is insane: AI is hitting an energy wall. Training GPT-4 cost $100 million in compute. So everyone's betting on new hardware that uses less energy. Neuromorphic chips. Brain-inspired computing. Analog circuits. Except nobody's proven it works at scale. VCs aren't funding the technology. They're funding the NARRATIVE. "AI needs new hardware or the whole thing collapses." When a guy who sold two AI companies for $1.7 billion combined says "I'm building the chip that saves AI" - VCs panic-buy equity. The track record that bought half a billion: 2016: Sold Nervana Systems to Intel for $350M 2023: Sold MosaicML to Databricks for $1.3B 2024: Raises $475M for a company with zero product That's his playbook. Build credibility with two exits. Use that to raise stupid money for attempt #3. The market WANTS to believe the next AI breakthrough is around the corner. So they fund it preemptively. But what nobody's saying: This isn't a seed round. It's a pre-IPO. $4.5 billion valuation means Unconventional AI is worth more than 90% of public tech companies. With literally no product. Rao admitted: "We're not going to have a product in two years. This is largely a research effort." Translation: You just gave me half a billion to fuck around in a lab for 24+ months. VCs don't care because they're playing a different game. If it works, they 100x their money. If it fails, they write it off. Unconventional AI raised more in 2 months than 99.99% of startups raise ever. No customers. No revenue. No proof. And the entire Valley said "here's $475 million." This is what happens when an industry has infinite money and zero patience. They stop funding innovation and start funding PROMISES of innovation. You can't be wrong if the product doesn't exist yet. My takeaway from this: If you have two exits, you can raise stupid money for anything. The idea doesn't have to be proven. The tech doesn't have to exist. You just need VCs to believe YOU are the person who MIGHT solve the problem. Not "build something great and raise money." But "convince investors you COULD build something great, then raise before you've built anything." Unconventional AI is either the future of computing or the biggest vaporware play since Theranos. We'll find out in 2027. What do you think?

Ricardo

263,131 views • 8 months ago

Warren Buffett just warned that the US dollar could collapse and admitted he doesn't understand most of the stock market anymore. 95 years old, sitting on $380 billion in cash, and the first time watching from the sidelines instead of actively investing. And what he revealed at this weekend's Berkshire shareholder meeting is genuinely concerning: On the market, Buffett didn't hold back. He compared it to "a church with a casino attached" and said the casino has never been more packed. On one-day options: "That is not investing. It's not speculating. It's gambling. Totally." He pointed to the Avis short squeeze THIS WEEK. A rental car company that's been around for 50 years getting meme-squeezed in 2026. The same behavior that blew up retail traders with GameStop is back, except now it's hitting boring legacy companies with zero business being volatile. "We have lots more regulation now, but people spend their time figuring out how to get around the rules rather than follow the rules." That one sentence explains more about the current market than every CNBC segment combined. When asked why he's hoarding $380 billion instead of investing it, Buffett said something no one expected: "I understand fewer of the businesses as a percentage of the whole than I did 10 years ago. I have not learned new industries for some years. I'm not going to have an edge on a whole bunch of younger people that have actually grown up with it." Think about what he's actually saying... This is a man who made $140 billion by understanding businesses better than anyone alive. And he's telling you the current market is so detached from reality that even HE can't make sense of what's being valued and why. He quoted IBM's Tom Watson Sr.: "I'm smart in spots and I stay around those spots." In 60 years of managing money, he said MAYBE five were "really juicy." Five out of sixty. That means 92% of his career was spent WAITING while everyone else gambled. And he still ended up richer than all of them. Then the conversation turned to inflation and that's where it gets really interesting: Buffett said America is "not immune" from runaway inflation. He brought up countries that went bankrupt "six or seven times" in his lifetime. Compared today to right before Volcker had to rescue the dollar, when Americans were borrowing at 12% to buy farmland earning 6% because they believed the dollar would disappear. "Cash is trash" was the mentality. Nebraska farmers collapsed because of it. Entire communities wiped out not by a recession but by a BELIEF that the currency was dying. And Buffett sees that same energy building again. Then someone asked the question everyone wanted answered: Do you see a crash coming? "If you saw it coming, it wouldn't happen. The things people are talking about and thinking about? It's not going to happen. But there are things that can come out of the blue." He compared it to the assassination of Archduke Franz Ferdinand in 1914 that triggered World War I. Nobody was discussing or anticipating it. But it changed the world overnight. "That's particularly true now because of the things that can come out of the sky." A 95yo man who has survived every crash, every war, every crisis of the last six decades just told you the market is a casino, the dollar isn't safe, and the real collapse will be something nobody sees coming. $380 billion in cash is his answer because he believes things are about to get much worse.
1:04

Warren Buffett just warned that the US dollar could collapse and admitted he doesn't understand most of the stock market anymore. 95 years old, sitting on $380 billion in cash, and the first time watching from the sidelines instead of actively investing. And what he revealed at this weekend's Berkshire shareholder meeting is genuinely concerning: On the market, Buffett didn't hold back. He compared it to "a church with a casino attached" and said the casino has never been more packed. On one-day options: "That is not investing. It's not speculating. It's gambling. Totally." He pointed to the Avis short squeeze THIS WEEK. A rental car company that's been around for 50 years getting meme-squeezed in 2026. The same behavior that blew up retail traders with GameStop is back, except now it's hitting boring legacy companies with zero business being volatile. "We have lots more regulation now, but people spend their time figuring out how to get around the rules rather than follow the rules." That one sentence explains more about the current market than every CNBC segment combined. When asked why he's hoarding $380 billion instead of investing it, Buffett said something no one expected: "I understand fewer of the businesses as a percentage of the whole than I did 10 years ago. I have not learned new industries for some years. I'm not going to have an edge on a whole bunch of younger people that have actually grown up with it." Think about what he's actually saying... This is a man who made $140 billion by understanding businesses better than anyone alive. And he's telling you the current market is so detached from reality that even HE can't make sense of what's being valued and why. He quoted IBM's Tom Watson Sr.: "I'm smart in spots and I stay around those spots." In 60 years of managing money, he said MAYBE five were "really juicy." Five out of sixty. That means 92% of his career was spent WAITING while everyone else gambled. And he still ended up richer than all of them. Then the conversation turned to inflation and that's where it gets really interesting: Buffett said America is "not immune" from runaway inflation. He brought up countries that went bankrupt "six or seven times" in his lifetime. Compared today to right before Volcker had to rescue the dollar, when Americans were borrowing at 12% to buy farmland earning 6% because they believed the dollar would disappear. "Cash is trash" was the mentality. Nebraska farmers collapsed because of it. Entire communities wiped out not by a recession but by a BELIEF that the currency was dying. And Buffett sees that same energy building again. Then someone asked the question everyone wanted answered: Do you see a crash coming? "If you saw it coming, it wouldn't happen. The things people are talking about and thinking about? It's not going to happen. But there are things that can come out of the blue." He compared it to the assassination of Archduke Franz Ferdinand in 1914 that triggered World War I. Nobody was discussing or anticipating it. But it changed the world overnight. "That's particularly true now because of the things that can come out of the sky." A 95yo man who has survived every crash, every war, every crisis of the last six decades just told you the market is a casino, the dollar isn't safe, and the real collapse will be something nobody sees coming. $380 billion in cash is his answer because he believes things are about to get much worse.

Ricardo

1,645,918 views • 3 months ago

been diving deep into Solstice lately...and honestly, this feels like the next stage of defi evolution on solana !! i actually spent 6+ hours researching and breaking it all down in a full detailed video > from how usx works to the ai-powered yieldvault, staking architecture, and why solstice might change the solana defi landscape. here’s what makes it stand out 👇 ================================ The Core Idea: solstice is building a self sustaining defi economy on solana, blending tradfi reliability with defi creativity. the focus? real yield, transparent onchain activity, and long term wealth creation, not hype cycles. ================================ 3 Pillars driving it all: 1. usx > solana native stablecoin fully collateralized, programmable, and scalable. more than a stablecoin, it fuels the entire solstice ecosystem. think of it as the liquidity backbone for all yield and staking strategies. 2. yieldvault > automated compounding engine ai-powered, delta-neutral strategies that generate yield in any market. capital protected, transparent, and designed for passive income. no inflated apy gimmicks. just sustainable, on-chain compounding. 3. solstice staking > institutional grade non-custodial validator network, 100% renewable energy, 99.99% uptime. over $1b in staked assets already powering solana. built for both individual stakers and large protocols. ================================ Why it matters: while most defi projects chase trends, solstice is building infrastructure that scales - for users, investors, and institutions. it’s aiming to onboard the next billion into defi by keeping things fast, clean, and reliable. ================================ How your capital grows here: • mint or hold $USX - always fully backed • deposit into yieldvault - earn stable returns through delta-neutral ai strategies • stake in the validator network - earn yield while securing solana • reinvest and compound - every token works, every second counts ================================ Key advantages: ✅ built on solana - instant txs + ultra-low fees ✅ yield from real onchain activity, not emissions ✅ cross-integrated products that reinforce each other ✅ powered by renewable energy ✅ transparent analytics + verifiable smart contracts ================================ this isn’t “degen defi” it’s infrastructure for the next wave of sustainable onchain finance. if you’re into yield, stability, and scalable defi... keep an eye on Solstice. the future of defi might just start here with xeet .
2:16

been diving deep into Solstice lately...and honestly, this feels like the next stage of defi evolution on solana !! i actually spent 6+ hours researching and breaking it all down in a full detailed video > from how usx works to the ai-powered yieldvault, staking architecture, and why solstice might change the solana defi landscape. here’s what makes it stand out 👇 ================================ The Core Idea: solstice is building a self sustaining defi economy on solana, blending tradfi reliability with defi creativity. the focus? real yield, transparent onchain activity, and long term wealth creation, not hype cycles. ================================ 3 Pillars driving it all: 1. usx > solana native stablecoin fully collateralized, programmable, and scalable. more than a stablecoin, it fuels the entire solstice ecosystem. think of it as the liquidity backbone for all yield and staking strategies. 2. yieldvault > automated compounding engine ai-powered, delta-neutral strategies that generate yield in any market. capital protected, transparent, and designed for passive income. no inflated apy gimmicks. just sustainable, on-chain compounding. 3. solstice staking > institutional grade non-custodial validator network, 100% renewable energy, 99.99% uptime. over $1b in staked assets already powering solana. built for both individual stakers and large protocols. ================================ Why it matters: while most defi projects chase trends, solstice is building infrastructure that scales - for users, investors, and institutions. it’s aiming to onboard the next billion into defi by keeping things fast, clean, and reliable. ================================ How your capital grows here: • mint or hold $USX - always fully backed • deposit into yieldvault - earn stable returns through delta-neutral ai strategies • stake in the validator network - earn yield while securing solana • reinvest and compound - every token works, every second counts ================================ Key advantages: ✅ built on solana - instant txs + ultra-low fees ✅ yield from real onchain activity, not emissions ✅ cross-integrated products that reinforce each other ✅ powered by renewable energy ✅ transparent analytics + verifiable smart contracts ================================ this isn’t “degen defi” it’s infrastructure for the next wave of sustainable onchain finance. if you’re into yield, stability, and scalable defi... keep an eye on Solstice. the future of defi might just start here with xeet .

ANNABEL❤️

14,216 views • 10 months ago

🚨 WARNING: SPACEX IPO IS A REAL BIG STORM FOR MARKETS!! Everyone thinks $SPCX IPO will be free money. But people thought the same about Meta in 2012. After Meta went public, the stock dumped more than 70% in the first 100 days. Retail bought the hype. Then insiders and early investors got liquidity. Now the same setup is coming again. SpaceX is expected to go public on June 12 at a $1.75 TRILLION to $2 TRILLION valuation. That would instantly make it one of the biggest companies in the US market. But here’s the problem. This is not just an IPO. This is a massive liquidity event. SpaceX $SPCX is now expected to IPO at $135 per share, with 555,555,555 shares available. That means almost $75 BILLION in shares could hit the market. Read that again. $75 BILLION of liquidity could be absorbed on day one. And everyone still thinks this is bullish. Insiders reportedly own around 95% of SpaceX shares. The public float is only around 5%. That means insiders are sitting on more than $1.6 TRILLION of paper wealth. And after the IPO, that paper wealth starts becoming real exit liquidity. Michael Burry already warned about this. He said SpaceX, OpenAI and Anthropic could raise more money than the 300 biggest IPOs in 2000. And he is not just talking. He is already betting against the AI bubble with a massive short position in $PLTR and $NVDA. So now connect the dots. Meta IPO dumped after the hype. AI stocks are already crowded. SpaceX IPO could pull $75 BILLION of liquidity from the market. Stocks. Crypto. High beta tech. Everything retail is already holding. Most people will see the Elon hype. I see the liquidity drain. This could become one of the biggest insider cashout events in modern market history. I have studied macro for 10 years and called almost every major market top including the October BTC ATH. Follow and turn notifications on. I will post the warning before it hits the headlines.
0:50

🚨 WARNING: SPACEX IPO IS A REAL BIG STORM FOR MARKETS!! Everyone thinks $SPCX IPO will be free money. But people thought the same about Meta in 2012. After Meta went public, the stock dumped more than 70% in the first 100 days. Retail bought the hype. Then insiders and early investors got liquidity. Now the same setup is coming again. SpaceX is expected to go public on June 12 at a $1.75 TRILLION to $2 TRILLION valuation. That would instantly make it one of the biggest companies in the US market. But here’s the problem. This is not just an IPO. This is a massive liquidity event. SpaceX $SPCX is now expected to IPO at $135 per share, with 555,555,555 shares available. That means almost $75 BILLION in shares could hit the market. Read that again. $75 BILLION of liquidity could be absorbed on day one. And everyone still thinks this is bullish. Insiders reportedly own around 95% of SpaceX shares. The public float is only around 5%. That means insiders are sitting on more than $1.6 TRILLION of paper wealth. And after the IPO, that paper wealth starts becoming real exit liquidity. Michael Burry already warned about this. He said SpaceX, OpenAI and Anthropic could raise more money than the 300 biggest IPOs in 2000. And he is not just talking. He is already betting against the AI bubble with a massive short position in $PLTR and $NVDA. So now connect the dots. Meta IPO dumped after the hype. AI stocks are already crowded. SpaceX IPO could pull $75 BILLION of liquidity from the market. Stocks. Crypto. High beta tech. Everything retail is already holding. Most people will see the Elon hype. I see the liquidity drain. This could become one of the biggest insider cashout events in modern market history. I have studied macro for 10 years and called almost every major market top including the October BTC ATH. Follow and turn notifications on. I will post the warning before it hits the headlines.

DANNY

973,924 views • 2 months ago

Nebius is going to be a Trillion-dollar company! Twelve months ago, Nebius was trading near $18 per share with roughly $55 million in quarterly revenue. Today the stock trades above $225, quarterly revenue just came in at $399 million, up 684% year over year and the company has a contracted revenue backlog that would make most Fortune 500 companies envious. But the current market cap, sitting around $56 billion, prices in almost none of what is actually coming. The first reason Nebius reaches a trillion is the Meta deal alone. In March, Nebius signed a five year agreement with Meta worth up to $27 billion, one of the largest infrastructure contracts Meta has ever signed with any company under which Nebius will provide $12 billion in dedicated AI capacity across multiple locations, with Meta also having committed to purchase up to an additional $15 billion in third-party capacity over the same period. That contract barely starts until 2027, which means the revenue impact is not yet reflected in any trailing metric. The second reason is Microsoft, which is currently receiving its first deployment phases from Nebius and is expected to contribute at full annual run rate starting in 2027. Between Meta and Microsoft alone, Nebius has signed agreements worth more than $46 billion in total contracted value before a single additional customer is counted. The third reason is the ARR trajectory, which is the fastest revenue ramp of any infrastructure company in the public markets. Nebius ended 2025 at $1.25 billion in ARR and is guiding to $7–9 billion ARR by year-end 2026. Wall Street analysts project revenue growing 523% in 2026 and another 206% in 2027. One of the company's own institutional shareholders has already suggested the year-end ARR could come in more than twice the guided range if the Meta and Microsoft ramps hit their timelines. The fourth reason is Nvidia's direct involvement. Nvidia made a $2 billion strategic equity investment in Nebius and has given Nebius early access to the Vera Rubin platform, its next generation GPU architecture as part of the delivery commitments to Meta. The fifth reason is the capacity buildout, which is being funded by the revenue itself. Nebius invested $2.5 billion in capex in Q1 alone, CEO Arkady Volozh has guided for $16–20 billion in total investment for 2026, and contracted capacity is now on track to exceed 4 GW by year end with new owned sites in Pennsylvania at 1.2 GW and Finland at 310 MW now under development. The more capacity they build, the more they can sell and demand continues to outpace supply at every stage of the buildout. When you run the math on a business with $7–9 billion in ARR exiting 2026, a $27 billion Meta contract that begins in earnest in 2027, a Microsoft relationship at full run rate, 206% analyst projected growth in 2027, and a structural relationship with Nvidia that gives it hardware access no competitor can match, a trillion-dollar valuation within three to four years is not a moonshot. It is the base case if the compounding holds, and every data point so far suggests it is. Milk Road Pro called this one early. Our analysts added Nebius to the portfolio when it was still flying under the radar, and we are sitting on a massive gain on that position right now. If you want to see what else we are building conviction on before the rest of the market catches up, come join us at Milk Road Pro at the link in bio/below!
1:04

Nebius is going to be a Trillion-dollar company! Twelve months ago, Nebius was trading near $18 per share with roughly $55 million in quarterly revenue. Today the stock trades above $225, quarterly revenue just came in at $399 million, up 684% year over year and the company has a contracted revenue backlog that would make most Fortune 500 companies envious. But the current market cap, sitting around $56 billion, prices in almost none of what is actually coming. The first reason Nebius reaches a trillion is the Meta deal alone. In March, Nebius signed a five year agreement with Meta worth up to $27 billion, one of the largest infrastructure contracts Meta has ever signed with any company under which Nebius will provide $12 billion in dedicated AI capacity across multiple locations, with Meta also having committed to purchase up to an additional $15 billion in third-party capacity over the same period. That contract barely starts until 2027, which means the revenue impact is not yet reflected in any trailing metric. The second reason is Microsoft, which is currently receiving its first deployment phases from Nebius and is expected to contribute at full annual run rate starting in 2027. Between Meta and Microsoft alone, Nebius has signed agreements worth more than $46 billion in total contracted value before a single additional customer is counted. The third reason is the ARR trajectory, which is the fastest revenue ramp of any infrastructure company in the public markets. Nebius ended 2025 at $1.25 billion in ARR and is guiding to $7–9 billion ARR by year-end 2026. Wall Street analysts project revenue growing 523% in 2026 and another 206% in 2027. One of the company's own institutional shareholders has already suggested the year-end ARR could come in more than twice the guided range if the Meta and Microsoft ramps hit their timelines. The fourth reason is Nvidia's direct involvement. Nvidia made a $2 billion strategic equity investment in Nebius and has given Nebius early access to the Vera Rubin platform, its next generation GPU architecture as part of the delivery commitments to Meta. The fifth reason is the capacity buildout, which is being funded by the revenue itself. Nebius invested $2.5 billion in capex in Q1 alone, CEO Arkady Volozh has guided for $16–20 billion in total investment for 2026, and contracted capacity is now on track to exceed 4 GW by year end with new owned sites in Pennsylvania at 1.2 GW and Finland at 310 MW now under development. The more capacity they build, the more they can sell and demand continues to outpace supply at every stage of the buildout. When you run the math on a business with $7–9 billion in ARR exiting 2026, a $27 billion Meta contract that begins in earnest in 2027, a Microsoft relationship at full run rate, 206% analyst projected growth in 2027, and a structural relationship with Nvidia that gives it hardware access no competitor can match, a trillion-dollar valuation within three to four years is not a moonshot. It is the base case if the compounding holds, and every data point so far suggests it is. Milk Road Pro called this one early. Our analysts added Nebius to the portfolio when it was still flying under the radar, and we are sitting on a massive gain on that position right now. If you want to see what else we are building conviction on before the rest of the market catches up, come join us at Milk Road Pro at the link in bio/below!

Milk Road AI

48,673 views • 3 months ago

This is WILD! Anthropic just became the most valuable AI company on earth and what Chamath said months ago explains exactly why this moment matters (Save this). Anthropic closed a $65 billion Series H round at a $965 billion post-money valuation surpassing OpenAI's $852 billion valuation from March and making Anthropic the highest-valued private company in history. Just three months ago, in February, Anthropic had raised $30 billion at a $380 billion valuation meaning the company nearly tripled in value in a single quarter. Claude's run rate revenue crossed $47 billion today, up from $30 billion in April, up from $9 billion at the end of 2025, a pace of revenue growth that has no comparable precedent in business history. Now go back and watch what Chamath said, because he called the entire arc of this. "I've never seen a business like this. And I'd say the same thing about Anthropic. Nobody in the history of the world has ever seen two businesses like this at this scale. These are trillion dollar companies. They both are. And they both deserve to be." He said that before the $965 billion number. Chamath Palihapitiya also said something that most people skipped over, that OpenAI and Anthropic need to get public as fast as humanly possible because of what happens after. Chamath laid out a specific sequencing thesis, SpaceX goes public first and does great, the next company does good to great, then appetite runs out, because the market simply cannot absorb trillions of dollars of new demand in rapid succession. Today, Anthropic's $65 billion round may be precisely the move that locks in its position before that window narrows fortifying the balance sheet before the public markets get crowded. But Chamath's deeper warning cuts through the celebration, once SpaceX, OpenAI, and Anthropic are all public, the AI technology baked into all three will cannibalize the moats of every other tech company, compressing tech sector P/E ratios toward non-tech levels and making the software businesses of the last decade obsolete. "It will eliminate and it will cannibalize and it will erode most of the moats that support this differential trading," he said directly. "I'll buy the first five or six years of this story, but I'm not buying year 15 of this anymore because these three guys are going to build something." The companies getting valued at near-$1 trillion today are not just winning but rather are the instruments by which everything else eventually gets repriced.
2:15

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

Milk Road AI

293,469 views • 3 months ago

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

Ricardo

725,951 views • 6 months ago