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$GRAB Map is The New Google Maps(B2B)🧵 Here is your Free.99 analysis on GrabMap, for those that selling courses for $50-$500/m, if you are using my $GRAB and other analyses, I don't ask for much, at least give me some credit/cite. And yes 99.999% of my posts are Free.99....

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Mike

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$GRAB Secret Sauce 🧵 How this company will thrive to $300B MC and beyond! It took me a while to gather the material for this thread. I will link down below other threads I talked extensively on all current and future $GRAB services to avoid making this thread too long. It is very important to understand product roadmap on the SuperApp, and how it will make money over the long-term, and transfer that value creation to shareholders. The closest analogy for new investors to understand is Amazon obsession over customers where $AMZN makes a little bit of money on each transaction to break even, but make the most money on Prime Membership. Or Costco obsession over customers where $COST makes 10-15% margin or lower on most products to break even on operation, but to make the most money on Costco membership fees. Jeff Bezos famously said "investors should invest in the company that obsesses customer experiencein the long term, there's never any misalignment between customer interests and shareholder interests!" The TLDR version: Being Customer Obsessed over Competition. We never heard much where Anthony Tan described or bitter about competition. Because Anthony does pay attention to competition, but he is more focused or obsessed on how to serve customers better at the lowest price possible, those that pay for $GRAB services. It is not just a business, it is a mission from first day of $GRAB or formerly known as MyTeksi. Anthony Tan and Co-founder Hooi Ling Tan both met at a class “Business at the Base of the Pyramid.” This class shaped the years of $GRAB success and today mission, creating a valuable business servicing the mass market, the lower income communities. Now, lets start with Customer Obession. $Grab does not see just users as customers, Anthony Tan views drivers, merchants, and partners are customers as well for long term success of the company. This is a big differentiator that contributed to GRAB success today. A. Hyperfocus on users: Grab emphasizes safety, with 99.9% of rides completed without incidents, and offers affordable options like Saver rides (26% of mobility transactions, 1.5X higher order frequency) alongside high-value services like Premium Rides and GrabUnlimited (3.7X more frequent usage, 2X higher retention). This likely enhances user satisfaction and retention, driving revenue growth, as seen in their Q1 2025 earnings of $773 million, up 18% year-over-year. But it does not stop at rides, it translate this obsession into food/grocery/financial and other services. Anthony Tan centered $GRAB success on affordability and reliability over the long-term since its early startup day. Essentially, the long-term TAM for servicing 2- 3 billion people is to get 30-50% of them on GrabUnlimited. Now it is $4.99 a month, will probably be adjusted to $7-$10 adjusted to inflation 10-15 years from now or around $7-$10B or more subscription revenue straight to net income B. Hyperfocus on Merchants: Grab has significantly focused on merchant growth as a core strategy to expand its ecosystem, particularly through its GrabFood, GrabMart, and financial services like GrabFinance. The reason is simple, these merchants/businesses are bringing in user growth. Businesses also pay GRAB on ea transaction very well, and at the same time using Cheap Loan(provided by Grab) to expand, and pay on GrabAds(this will have the highest margin after GrabUnlimited up to 50-60%). Grab also investing heavily on #AI to help merchants with OpenAI and Anthropic partnerships. The impact is unreal with this core strategy, many merchants today have more than 50-60% of its monhtly sales from $GRAB SuperApp(grew from 10-15% in 2021-2022). This approach has positioned Grab as a leader in Southeast Asia’s on-demand market, with significant potential for further expansion as it continues to innovate and optimize C. Hyperfocus on Drivers: In today world, you will never see $uber or Lyft talking about seeing drivers as customers. GRAB is the only company that sees Drivers as customers, and this focus is critical to maintaining a robust supply of driver-partners to meet consumer demand for ride-hailing, food delivery, and other services. Grab has scaled its driver network significantly since going public day with 5-6m registered driver-partners. Expanding rental/low fee fleets to secure drivers, creating stable employment in its current 8 countries. President Ferdinand R. Marcos Bongbong Marcos recently acknowledged $GRAB's significant impact on employment in the Philippines. All of 8 countries Grab operates in, all presidents and PM have praised Grab contribution on employment in their countries. GRAB makes its the company mission to expand more drivers registered on $GRAB SuperApp. Last Fun Fact, GRAB drivers in its 8 market have much higher income than BA degree holders and in many cases x2 or x3 the average salaries due to Grab Dynamic Pricing to bring supply and demand back to lowest price. AKA when demand is mad high, price will be higher to attract more drivers to bring down price. Drivers financial success is Grab long-term success. Conclusion: Grab's SuperApp success, as evidenced by Q1 2025 financials, is tied to putting customers, drivers, and merchants first. Their focus on safety, affordability, financial inclusion, and upskilling creates a robust ecosystem, reflected in increased MTUs, revenue growth, and profitability. The SuperApp will expand to 3 billion people TAM or more over the long term. 1. User Growth(Transactional Users) 2. GrabAds (expanding beyond SuperApp into Physical Grocery/Fleets) 3. GrabUnlimited( Expanding valuable services/features to make it stupid not to have it) Over the long-term, $GRAB will expand beyond SuperApp. Just like when Amazon has some spare computer capacity and decided to rent it out and became the AWS today, which is a behemoth that's now >4 times bigger than its original shopping business. No, I'm not saying $GRAB is the next Amazon. I'm telling you that with this "Secret Sauce" strategy of customer obsession, Anthony Tan can expand to other ventures with the massive FCF+ and profitable SuperApp to fund it. Disclaimer: I do own a large position in the Private Portfolio, and currently 100% on $GRAB on small public portfolio. This is the public portfolio where I contribute $500-$1000 of my own money. This public portfolio is not intended to be just 100% pure $GRAB, but it is the first position. I will try to keep it under 10 companies, and high quality growth businesses ONLY. I will not bother with garbage or hyped businesses where people just hype x10 x100 x1000 next week/year. You can follow others for that. Everything I wrote here is NOT Financial Advice! Source: Private Sources, Grab Dot Com, Webull, TOS, Bloomberg, Various Asian Media Outlets, Youtube, Anthony Tan, WSJ, Financial Times, Yahoo, Reuters, Jakarta Globe...
12:54

$GRAB Secret Sauce 🧵 How this company will thrive to $300B MC and beyond! It took me a while to gather the material for this thread. I will link down below other threads I talked extensively on all current and future $GRAB services to avoid making this thread too long. It is very important to understand product roadmap on the SuperApp, and how it will make money over the long-term, and transfer that value creation to shareholders. The closest analogy for new investors to understand is Amazon obsession over customers where $AMZN makes a little bit of money on each transaction to break even, but make the most money on Prime Membership. Or Costco obsession over customers where $COST makes 10-15% margin or lower on most products to break even on operation, but to make the most money on Costco membership fees. Jeff Bezos famously said "investors should invest in the company that obsesses customer experiencein the long term, there's never any misalignment between customer interests and shareholder interests!" The TLDR version: Being Customer Obsessed over Competition. We never heard much where Anthony Tan described or bitter about competition. Because Anthony does pay attention to competition, but he is more focused or obsessed on how to serve customers better at the lowest price possible, those that pay for $GRAB services. It is not just a business, it is a mission from first day of $GRAB or formerly known as MyTeksi. Anthony Tan and Co-founder Hooi Ling Tan both met at a class “Business at the Base of the Pyramid.” This class shaped the years of $GRAB success and today mission, creating a valuable business servicing the mass market, the lower income communities. Now, lets start with Customer Obession. $Grab does not see just users as customers, Anthony Tan views drivers, merchants, and partners are customers as well for long term success of the company. This is a big differentiator that contributed to GRAB success today. A. Hyperfocus on users: Grab emphasizes safety, with 99.9% of rides completed without incidents, and offers affordable options like Saver rides (26% of mobility transactions, 1.5X higher order frequency) alongside high-value services like Premium Rides and GrabUnlimited (3.7X more frequent usage, 2X higher retention). This likely enhances user satisfaction and retention, driving revenue growth, as seen in their Q1 2025 earnings of $773 million, up 18% year-over-year. But it does not stop at rides, it translate this obsession into food/grocery/financial and other services. Anthony Tan centered $GRAB success on affordability and reliability over the long-term since its early startup day. Essentially, the long-term TAM for servicing 2- 3 billion people is to get 30-50% of them on GrabUnlimited. Now it is $4.99 a month, will probably be adjusted to $7-$10 adjusted to inflation 10-15 years from now or around $7-$10B or more subscription revenue straight to net income B. Hyperfocus on Merchants: Grab has significantly focused on merchant growth as a core strategy to expand its ecosystem, particularly through its GrabFood, GrabMart, and financial services like GrabFinance. The reason is simple, these merchants/businesses are bringing in user growth. Businesses also pay GRAB on ea transaction very well, and at the same time using Cheap Loan(provided by Grab) to expand, and pay on GrabAds(this will have the highest margin after GrabUnlimited up to 50-60%). Grab also investing heavily on #AI to help merchants with OpenAI and Anthropic partnerships. The impact is unreal with this core strategy, many merchants today have more than 50-60% of its monhtly sales from $GRAB SuperApp(grew from 10-15% in 2021-2022). This approach has positioned Grab as a leader in Southeast Asia’s on-demand market, with significant potential for further expansion as it continues to innovate and optimize C. Hyperfocus on Drivers: In today world, you will never see $uber or Lyft talking about seeing drivers as customers. GRAB is the only company that sees Drivers as customers, and this focus is critical to maintaining a robust supply of driver-partners to meet consumer demand for ride-hailing, food delivery, and other services. Grab has scaled its driver network significantly since going public day with 5-6m registered driver-partners. Expanding rental/low fee fleets to secure drivers, creating stable employment in its current 8 countries. President Ferdinand R. Marcos Bongbong Marcos recently acknowledged $GRAB's significant impact on employment in the Philippines. All of 8 countries Grab operates in, all presidents and PM have praised Grab contribution on employment in their countries. GRAB makes its the company mission to expand more drivers registered on $GRAB SuperApp. Last Fun Fact, GRAB drivers in its 8 market have much higher income than BA degree holders and in many cases x2 or x3 the average salaries due to Grab Dynamic Pricing to bring supply and demand back to lowest price. AKA when demand is mad high, price will be higher to attract more drivers to bring down price. Drivers financial success is Grab long-term success. Conclusion: Grab's SuperApp success, as evidenced by Q1 2025 financials, is tied to putting customers, drivers, and merchants first. Their focus on safety, affordability, financial inclusion, and upskilling creates a robust ecosystem, reflected in increased MTUs, revenue growth, and profitability. The SuperApp will expand to 3 billion people TAM or more over the long term. 1. User Growth(Transactional Users) 2. GrabAds (expanding beyond SuperApp into Physical Grocery/Fleets) 3. GrabUnlimited( Expanding valuable services/features to make it stupid not to have it) Over the long-term, $GRAB will expand beyond SuperApp. Just like when Amazon has some spare computer capacity and decided to rent it out and became the AWS today, which is a behemoth that's now >4 times bigger than its original shopping business. No, I'm not saying $GRAB is the next Amazon. I'm telling you that with this "Secret Sauce" strategy of customer obsession, Anthony Tan can expand to other ventures with the massive FCF+ and profitable SuperApp to fund it. Disclaimer: I do own a large position in the Private Portfolio, and currently 100% on $GRAB on small public portfolio. This is the public portfolio where I contribute $500-$1000 of my own money. This public portfolio is not intended to be just 100% pure $GRAB, but it is the first position. I will try to keep it under 10 companies, and high quality growth businesses ONLY. I will not bother with garbage or hyped businesses where people just hype x10 x100 x1000 next week/year. You can follow others for that. Everything I wrote here is NOT Financial Advice! Source: Private Sources, Grab Dot Com, Webull, TOS, Bloomberg, Various Asian Media Outlets, Youtube, Anthony Tan, WSJ, Financial Times, Yahoo, Reuters, Jakarta Globe...

Mike

209,603 views • 11 months ago

THIS IS ABSOLUTELY RIDICULOUS. OpenAI and Anthropic are losing money on every dollar they make. OpenAI generated $20 billion in revenue in 2025 and is projected to lose $14 billion in the same year. Internal forecasts project cumulative losses hitting $44 billion by 2028. The company's own CFO warned executives in April 2026 that OpenAI might struggle to finance upcoming computing deals if revenue growth slows. Anthropic reached $4.3 billion in annualized revenue in April 2026 against $19 billion in total costs. It spends $3 to make $1, and is not expected to stop burning cash until 2027. Now look at what these two companies have committed to spend. OpenAI and Anthropic together have committed $1.05 trillion in cloud spending to Microsoft, Oracle, Google and Amazon, making up 43 to 54% of each provider's entire future revenue backlog. - Microsoft: $627B total backlog. OpenAI and Anthropic account for 49%. - Oracle: $553B total backlog. OpenAI alone accounts for 54%. - Google: $467.6B total backlog. Anthropic accounts for 43%. - Amazon: $464B total backlog. OpenAI and Anthropic account for 51%. The entire cloud industry's future revenue is a bet on two companies losing billions every quarter. Microsoft, Alphabet, Meta and Amazon are collectively expected to spend $725 billion in capex in 2026, almost entirely on AI infrastructure. Combined hyperscaler capex from 2025 to 2027 is projected at $1.15 trillion, more than double what was spent from 2022 to 2024. What is the return on all of this? McKinsey's 2025 State of AI survey found that only a minority of companies reported AI meaningfully increased revenue or reduced costs. Enterprise generative AI spending grew from $1.7 billion in 2023 to $37 billion in 2025 and most CIOs still describe their initiatives as pilots without clear ROI metrics. Microsoft's AI business is running at a $37 billion annual revenue run rate with 123% year over year growth. That sounds impressive until you realize most of the capex funding is justified by expected future AI revenue rather than current AI profit. The internet burned money for years before it became the most profitable industry in history. But right now $1 trillion in committed cloud spend, $725 billion in annual capex, two loss-making customers making up half of every major cloud provider's revenue backlog, and the enterprises writing the checks cannot tell you if any of it is working.
0:22

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

Crypto Rover

58,862 views • 1 month ago

Morgan Stanley just raised their 2027 AI capex forecast to $1.1 trillion and that number still doesn't include SpaceX or a lot of the other AI companies (Save this). When you factor those in, the real 2027 figure is probably closer to $1.5 trillion and AI lab inference revenue combined is tracking toward $300 billion in 2027. On its surface that ratio sounds alarming, spending $1.5 trillion in capex to generate $300 billion in revenue. But the framing collapses the moment you examine two things the bears consistently ignore, gross margins and the revenue trajectory. Gross margins on inference revenue are running at 60 to 70 percent. That means the $300 billion in inference revenue generates $180 to $210 billion in gross profit and that number compounds rapidly as utilization scales on infrastructure that is already built and paid for. The Capex is not being deployed against today's revenue but rather being deployed against a revenue trajectory that has shown no signs of decelerating. To understand how aggressive that trajectory actually is, consider that Morgan Stanley's $1.1 trillion hyperscaler forecast is nearly double what analysts projected for the same year just twelve months ago And they described the demand as inelastic, meaning it is not slowing down regardless of rising costs, tighter financing conditions or geopolitical risk. The AI industry ended 2025 tracking well over $200 billion in combined inference revenue and the growth rate since then has continued to accelerate rather than flatten. Anthropic alone scaled from negligible revenue to a $30 billion annualized run rate in approximately 18 months while OpenAI is tracking toward $280 billion in annual revenue by 2030 from $13 billion in 2025. There is also a structural reality in the capex number that the bears never account for. Roughly 35 percent of total AI spending goes toward training, building the next model generation which is not revenue-generating in the current period. That means only about 65 percent of the $1.5 trillion in capex is actually deployed against the inference infrastructure that earns revenue today. When you apply the 60 to 70 percent gross margin to the revenue that sits on top of that 65 percent figure, the economics look substantially better than the headline capex to revenue ratio implies. Every CEO who has been closest to this buildout has consistently underestimated it and Jensen Huang projected $1 trillion in AI capex two years ago and was called delusional. Dario Amodei said in early 2026 that AI revenues would reach the low hundreds of billions by 2028 and trillions before 2030 and given where Anthropic's own revenue trajectory is today, he is likely revising those numbers upward. The pattern here is consistent, every time someone models the revenue ceiling, the actual number breaks through it faster than expected. Come join Milk Road Pro for our full breakdown, the real unit economics of the AI inference buildout, how the capex to revenue ratio evolves over the next three years, and our entire AI thesis! Link below!
4:04

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

Milk Road AI

21,141 views • 29 days ago

Big Tech just ran out of money building AI and what they're doing to cover it up should be illegal. Google, Amazon, Microsoft, and Meta are spending a combined $700 BILLION this year on AI infrastructure. This eats up 94% of their total operating cash flow. The richest companies in human history are almost broke. And instead of slowing down, they're covering it up with the biggest financial engineering operation since 2008: Google just sold $80 billion in stock to fund AI infrastructure. That was their first equity raise in 20 YEARS. The last time Google needed to sell stock, YouTube didn't even exist. Sundar Pichai admitted the thing keeping him up at night is "compute capacity." The company that prints $100 billion a year in ad revenue just told Wall Street it isn't enough anymore. Amazon's free cash flow is projected to go NEGATIVE this year for the first time ever. Morgan Stanley estimates a $17 billion deficit and Bank of America says $28 billion. The most profitable logistics machine on Earth is about to burn more cash than it generates, and they quietly filed with the SEC saying they may need to raise even more debt and equity to keep building. All four hyperscalers are now borrowing hundreds of billions in bonds to keep the AI buildout alive. These were the most cash-rich companies in human history, and they're leveraging themselves to the teeth to build infrastructure that nobody has proven will generate enough revenue to pay for itself. And the cracks are already starting to show: Broadcom makes the custom AI chips that power Google, Meta, OpenAI, and Anthropic. This week their AI revenue TRIPLED year over year, sales grew 48%, and profits smashed every Wall Street estimate. The reward for all of that was $320 billion in value erased in a single trading session. Their CEO Hock Tan went on the earnings call and exposed three things about the AI industry: Google is already shopping for cheaper AI chip alternatives, broadcom abandoned its strategy of selling complete AI systems and is now retreating to selling bare chips at lower margins. And despite supposedly "unprecedented demand," Tan refused to raise his full-year forecast, which tells you everything about what he's actually seeing behind the curtain. Wall Street heard all three and hit the sell button so hard it dragged AMD, Intel, and the entire chip sector down with it. When a company triples its AI revenue and gets punished because tripling isn't fast enough, the expectations have left the atmosphere entirely. And here's the really scary part... These companies ARE your retirement account. Apple, Microsoft, Amazon, Google, Meta, and Nvidia make up roughly 30% of the S&P 500. If you have a 401k or an index fund, you are already exposed to this bet whether you chose to be or not. Every single one of these companies is telling you AI will generate trillions in revenue. But right now the math says they're spending trillions FIRST and hoping the revenue shows up later. If the revenue catches up, this becomes the greatest infrastructure buildout in human history. Bigger than railroads and bigger than the internet. If it doesn't, the companies that make up a third of the American stock market just leveraged their balance sheets into the largest write-down cycle since 2000. And unlike the dot-com crash, this time the bubble companies aren't random startups with no revenue. They're the backbone of the entire global economy.
2:08

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

Ricardo

227,397 views • 1 month ago

$AMD| $META is using $GOOGL to negotiate 🧵 The Ironwood pod is 5.1–10x more expensive annually ($148.3 million ÷ $14.87–$29.04 million) and 5.1–10x more expensive monthly ($12.36 million ÷ $1.24–$2.42 million) than renting 15 MI450 racks for equivalent compute. The rapidly evolving landscape of artificial intelligence infrastructure presents a complex interplay of technological innovation, market dynamics, and strategic maneuvering among major players. Recent leaked information suggesting that Meta Platforms ($META) might work with Google's Tensor Processing Unit (TPU) in 2027 has sparked speculation about its true intent. This leak is likely a strategic move by Meta to negotiate more favorable terms with AMD , leveraging the competitive dynamics of the AI hardware market to optimize its substantial investment in AI infrastructure. By examining the key elements of this scenario Meta's investment strategy, the comparative advantages of AMD's MI450 and Google's Ironwood TPU, and the broader market context; we can discern the potential beneficiaries and the strategic implications of this information. Meta's aggressive pursuit of AI capabilities is underscored by its planned expenditure of $66-72 billion on AI infrastructure in 2025, with expectations to escalate significantly in 2026. This investment is part of a broader strategy to build "titan clusters" like Prometheus, which are projected to reach 1 gigawatt of compute power by 2026. Such a scale of investment reflects Meta's recognition of the critical role that AI will play in its future growth, particularly in enhancing its social media platforms and developing new AI-driven applications. However, the financial burden of this infrastructure buildout necessitates a careful consideration of cost-effectiveness and scalability, which brings us to the leaked information about potential collaboration with Google's Ironwood TPU. Google's Ironwood TPU, introduced as the seventh-generation ASIC optimized for TensorFlow-based inference, represents a high-cost, cloud-locked solution priced at $445 million per pod (9,216 chips) over three years. This model, while offering significant performance gains and power efficiency, is tailored for pod-scale deployment and integrated with Google's cloud services, limiting flexibility and increasing costs for customers. In contrast, AMD's MI450 GPU, priced at $30,000–$40,000 per unit, provides a modular, open ROCm ecosystem that delivers comparable compute capacity at a fraction of the cost. Renting 15 MI450 racks could achieve similar 42+ exaFLOPS inference compute at 5–10x lower cost than renting a single Ironwood pod, underscoring AMD's competitive edge in terms of total cost of ownership (TCO). The leaked information about Meta's potential TPU deployment in 2027, therefore, can be interpreted as a negotiating tactic rather than a definitive shift in strategy. By signaling interest in Google's solution, Meta may be attempting to pressure AMD into offering more favorable terms/prices for 5-10GW. This tactic aligns with Meta's broader goal to finance most of its AI spend internally while exploring partnerships that can reduce costs and enhance flexibility. The post's emphasis on MI450's TCO advantage and its partnerships with major players like OpenAI, Microsoft, and Meta itself suggests that AMD is a critical component of Meta's AI infrastructure strategy. The threat of working with Google's TPU could prompt AMD to reassess its pricing, provide additional support, or offer incentives to retain Meta as a customer, thereby securing or expanding its market share. From a logical standpoint, Meta stands to benefit the most from this strategy. As a major buyer in a high-stakes market projected to surpass $1 trillion in annual spending by 2030, Meta's negotiating power is significant. The leaked information could lead to substantial cost savings on its $66-72 billion investment, enhancing its financial flexibility and allowing for further investment in AI capabilities. Moreover, this tactic reinforces Meta's position as a leader in the AI infrastructure race, potentially attracting more external financing for its data center projects and strengthening its competitive stance against other hyperscalers like Amazon and Microsoft. AMD could also benefit from this scenario. The negotiation pressure might lead to small short-term concessions, but it could also solidify long-term partnerships with Meta, ensuring continued demand for MI450 and other AI hardware solutions. Initially Meta's 42% allocation to AMD MI300X and its partnerships with Oracle, Dell, and HP indicates a deep integration of AMD's technology into Meta's infrastructure, which could be leveraged to maintain this relationship. For AMD, retaining Meta as a large key customer is crucial to capturing a larger share of the rapidly growing data center infrastructure market, driven by the insatiable demand for AI compute power. Google, on the other hand, faces a more limited benefit from this leaked information. While securing Meta as a customer would reinforce its position in the AI hardware market, the high cost and ecosystem lock-in of the Ironwood TPU might deter Meta from fully committing to this solution. The leaked information could prompt Google to reconsider its pricing or ecosystem strategy to remain competitive, but the immediate impact is likely to be minimal compared to the potential gains for Meta and AMD. Investors and market analysts also stand to benefit from this information, as it provides insights into the competitive dynamics of the AI hardware market. Adjustments in portfolios based on anticipated shifts in market share and profitability could lead to opportunities for those who correctly anticipate outcomes. The negotiation dynamic might introduce volatility, but it also highlights the strategic importance of cost-effective solutions in the AI infrastructure space. Lastly, the leaked information about Meta potentially working with Google's TPU in 2027 is likely a strategic move to negotiate with AMD, leveraging the competitive landscape to optimize its AI infrastructure investment. Meta, as the primary negotiator, stands to gain the most by securing better terms from AMD, reducing costs, and enhancing its financial flexibility. AMD, while initially at risk, could benefit from retaining a key customer and solidifying its market position. Google faces limited immediate benefits but may need to adapt its strategy to remain competitive. This scenario underscores the complex interplay of technology, market dynamics, and strategic maneuvering in the AI hardware market, where cost-effectiveness and scalability are paramount. As the data center infrastructure market continues to grow, the outcomes of such negotiations will shape the future of AI development and deployment.
1:12

$AMD| $META is using $GOOGL to negotiate 🧵 The Ironwood pod is 5.1–10x more expensive annually ($148.3 million ÷ $14.87–$29.04 million) and 5.1–10x more expensive monthly ($12.36 million ÷ $1.24–$2.42 million) than renting 15 MI450 racks for equivalent compute. The rapidly evolving landscape of artificial intelligence infrastructure presents a complex interplay of technological innovation, market dynamics, and strategic maneuvering among major players. Recent leaked information suggesting that Meta Platforms ($META) might work with Google's Tensor Processing Unit (TPU) in 2027 has sparked speculation about its true intent. This leak is likely a strategic move by Meta to negotiate more favorable terms with AMD , leveraging the competitive dynamics of the AI hardware market to optimize its substantial investment in AI infrastructure. By examining the key elements of this scenario Meta's investment strategy, the comparative advantages of AMD's MI450 and Google's Ironwood TPU, and the broader market context; we can discern the potential beneficiaries and the strategic implications of this information. Meta's aggressive pursuit of AI capabilities is underscored by its planned expenditure of $66-72 billion on AI infrastructure in 2025, with expectations to escalate significantly in 2026. This investment is part of a broader strategy to build "titan clusters" like Prometheus, which are projected to reach 1 gigawatt of compute power by 2026. Such a scale of investment reflects Meta's recognition of the critical role that AI will play in its future growth, particularly in enhancing its social media platforms and developing new AI-driven applications. However, the financial burden of this infrastructure buildout necessitates a careful consideration of cost-effectiveness and scalability, which brings us to the leaked information about potential collaboration with Google's Ironwood TPU. Google's Ironwood TPU, introduced as the seventh-generation ASIC optimized for TensorFlow-based inference, represents a high-cost, cloud-locked solution priced at $445 million per pod (9,216 chips) over three years. This model, while offering significant performance gains and power efficiency, is tailored for pod-scale deployment and integrated with Google's cloud services, limiting flexibility and increasing costs for customers. In contrast, AMD's MI450 GPU, priced at $30,000–$40,000 per unit, provides a modular, open ROCm ecosystem that delivers comparable compute capacity at a fraction of the cost. Renting 15 MI450 racks could achieve similar 42+ exaFLOPS inference compute at 5–10x lower cost than renting a single Ironwood pod, underscoring AMD's competitive edge in terms of total cost of ownership (TCO). The leaked information about Meta's potential TPU deployment in 2027, therefore, can be interpreted as a negotiating tactic rather than a definitive shift in strategy. By signaling interest in Google's solution, Meta may be attempting to pressure AMD into offering more favorable terms/prices for 5-10GW. This tactic aligns with Meta's broader goal to finance most of its AI spend internally while exploring partnerships that can reduce costs and enhance flexibility. The post's emphasis on MI450's TCO advantage and its partnerships with major players like OpenAI, Microsoft, and Meta itself suggests that AMD is a critical component of Meta's AI infrastructure strategy. The threat of working with Google's TPU could prompt AMD to reassess its pricing, provide additional support, or offer incentives to retain Meta as a customer, thereby securing or expanding its market share. From a logical standpoint, Meta stands to benefit the most from this strategy. As a major buyer in a high-stakes market projected to surpass $1 trillion in annual spending by 2030, Meta's negotiating power is significant. The leaked information could lead to substantial cost savings on its $66-72 billion investment, enhancing its financial flexibility and allowing for further investment in AI capabilities. Moreover, this tactic reinforces Meta's position as a leader in the AI infrastructure race, potentially attracting more external financing for its data center projects and strengthening its competitive stance against other hyperscalers like Amazon and Microsoft. AMD could also benefit from this scenario. The negotiation pressure might lead to small short-term concessions, but it could also solidify long-term partnerships with Meta, ensuring continued demand for MI450 and other AI hardware solutions. Initially Meta's 42% allocation to AMD MI300X and its partnerships with Oracle, Dell, and HP indicates a deep integration of AMD's technology into Meta's infrastructure, which could be leveraged to maintain this relationship. For AMD, retaining Meta as a large key customer is crucial to capturing a larger share of the rapidly growing data center infrastructure market, driven by the insatiable demand for AI compute power. Google, on the other hand, faces a more limited benefit from this leaked information. While securing Meta as a customer would reinforce its position in the AI hardware market, the high cost and ecosystem lock-in of the Ironwood TPU might deter Meta from fully committing to this solution. The leaked information could prompt Google to reconsider its pricing or ecosystem strategy to remain competitive, but the immediate impact is likely to be minimal compared to the potential gains for Meta and AMD. Investors and market analysts also stand to benefit from this information, as it provides insights into the competitive dynamics of the AI hardware market. Adjustments in portfolios based on anticipated shifts in market share and profitability could lead to opportunities for those who correctly anticipate outcomes. The negotiation dynamic might introduce volatility, but it also highlights the strategic importance of cost-effective solutions in the AI infrastructure space. Lastly, the leaked information about Meta potentially working with Google's TPU in 2027 is likely a strategic move to negotiate with AMD, leveraging the competitive landscape to optimize its AI infrastructure investment. Meta, as the primary negotiator, stands to gain the most by securing better terms from AMD, reducing costs, and enhancing its financial flexibility. AMD, while initially at risk, could benefit from retaining a key customer and solidifying its market position. Google faces limited immediate benefits but may need to adapt its strategy to remain competitive. This scenario underscores the complex interplay of technology, market dynamics, and strategic maneuvering in the AI hardware market, where cost-effectiveness and scalability are paramount. As the data center infrastructure market continues to grow, the outcomes of such negotiations will shape the future of AI development and deployment.

Mike

182,048 views • 7 months ago

Google is making $62 billion a quarter destroying the websites it NEEDS to survive. This is literally a death spiral that ends with Google killing itself. Let me explain what's going on... Google added AI summaries to the top of every search result in 2024. When you Google something now, the answer sits right there on Google's page. You never have to click anywhere. Google took the information from someone else's website, summarized it, and kept you inside Google's ecosystem. The result: 60% of all Google searches now end without a single click to any website. Small publishers lost 60% of their traffic in one year. Medium publishers lost 47%. Even the biggest names in media, the New York Times, the Washington Post, Business Insider, all saw traffic fall between 22% and 55%. The Axios CEO called it "a referral extinction event for the ad-supported web." Google's response to all of this was to tell publishers they can "opt out" of having their content summarized. But opting out also REMOVES your description from normal search results. So the choice Google gives you is let us steal your content for free, or become invisible on the internet. That's extortion. The Washington Post laid off another round of journalists this year because of it. Stereogum, one of the most respected music publications on the internet, had to BEG readers for donations. Business Insider cut 21% of its staff. Dozens of smaller publishers have shut down entirely. The people who actually CREATE the information Google summarizes are going bankrupt while Google posts record revenue. But here's where this gets interesting and where everyone stops thinking: Google's AI summaries are only as good as the content they summarize. If the publishers who write the original articles, run the original investigations, and create the original data go out of business, there is nothing left for Google to summarize. The AI starts recycling old information, the answers get stale, the quality drops, and users start noticing that Google's summaries are increasingly wrong, outdated, or useless. Google is essentially strip-mining the internet for short-term revenue. They are extracting all the value from content creators without paying for it, driving those creators out of business, and then wondering why the quality of their own product is declining. This is exactly what Napster did to the music industry in the early 2000s: Made content free, creators went broke, and quality collapsed. It took a decade to rebuild. Google is doing the same thing to the entire internet at 100x the scale. Rolling Stone, Variety, Deadline, The Hollywood Reporter, and Billboard are now suing Google for antitrust violations. Chegg, the education platform, lost 49% of its traffic and is suing too. The UK's competition authority just ordered Google to let publishers opt out without being punished. The DOJ already ruled Google is an illegal monopoly. And Google's defense in court is genuinely unbelievable. They argue that publishers CHOOSE to let Google index their content and can leave anytime they want. That's like saying you choose to pay protection money to the mob because technically you could close your business and move to another city. Google controls 90% of search. Leaving Google means leaving the internet. Meanwhile Google is investing billions in custom AI chips to make these summaries cheaper at scale. Every quarter the problem gets worse. The internet as we've known it for 25 years ran on a simple deal: Publishers make content. Google sends traffic. Advertisers pay for the traffic. Everyone wins. But Google just BROKE that deal and kept all the money.
4:13

Google is making $62 billion a quarter destroying the websites it NEEDS to survive. This is literally a death spiral that ends with Google killing itself. Let me explain what's going on... Google added AI summaries to the top of every search result in 2024. When you Google something now, the answer sits right there on Google's page. You never have to click anywhere. Google took the information from someone else's website, summarized it, and kept you inside Google's ecosystem. The result: 60% of all Google searches now end without a single click to any website. Small publishers lost 60% of their traffic in one year. Medium publishers lost 47%. Even the biggest names in media, the New York Times, the Washington Post, Business Insider, all saw traffic fall between 22% and 55%. The Axios CEO called it "a referral extinction event for the ad-supported web." Google's response to all of this was to tell publishers they can "opt out" of having their content summarized. But opting out also REMOVES your description from normal search results. So the choice Google gives you is let us steal your content for free, or become invisible on the internet. That's extortion. The Washington Post laid off another round of journalists this year because of it. Stereogum, one of the most respected music publications on the internet, had to BEG readers for donations. Business Insider cut 21% of its staff. Dozens of smaller publishers have shut down entirely. The people who actually CREATE the information Google summarizes are going bankrupt while Google posts record revenue. But here's where this gets interesting and where everyone stops thinking: Google's AI summaries are only as good as the content they summarize. If the publishers who write the original articles, run the original investigations, and create the original data go out of business, there is nothing left for Google to summarize. The AI starts recycling old information, the answers get stale, the quality drops, and users start noticing that Google's summaries are increasingly wrong, outdated, or useless. Google is essentially strip-mining the internet for short-term revenue. They are extracting all the value from content creators without paying for it, driving those creators out of business, and then wondering why the quality of their own product is declining. This is exactly what Napster did to the music industry in the early 2000s: Made content free, creators went broke, and quality collapsed. It took a decade to rebuild. Google is doing the same thing to the entire internet at 100x the scale. Rolling Stone, Variety, Deadline, The Hollywood Reporter, and Billboard are now suing Google for antitrust violations. Chegg, the education platform, lost 49% of its traffic and is suing too. The UK's competition authority just ordered Google to let publishers opt out without being punished. The DOJ already ruled Google is an illegal monopoly. And Google's defense in court is genuinely unbelievable. They argue that publishers CHOOSE to let Google index their content and can leave anytime they want. That's like saying you choose to pay protection money to the mob because technically you could close your business and move to another city. Google controls 90% of search. Leaving Google means leaving the internet. Meanwhile Google is investing billions in custom AI chips to make these summaries cheaper at scale. Every quarter the problem gets worse. The internet as we've known it for 25 years ran on a simple deal: Publishers make content. Google sends traffic. Advertisers pay for the traffic. Everyone wins. But Google just BROKE that deal and kept all the money.

Ricardo

250,669 views • 2 months ago

The market is watching xAI charge $50 billion per gigawatt and the rest of the neocloud sector run up is just getting started (Save this). According to Gavin Baker of Atreides Management, this is the most important number in AI infrastructure right now, xAI is monetizing compute at $50 billion per gigawatt on the Google deal, 2 to 3 times what any neocloud competitor charges. Google is paying $920 million per month for access to roughly 110,000 Nvidia GPUs through June 2029, and Anthropic is paying $1.25 billion per month for Colossus 1's 300 megawatts. Baker's point is simple that stop tracking rocket launches, stop tracking GPU orders, model gigawatt additions. At $50 billion per gigawatt, every new gigawatt that xAI energizes over the next 12 months is a revenue event that the market has not yet priced in. But this is not just an xAI story but rather why neocloud stocks are one of the most mispriced assets in the entire AI stack. Neoclouds charge $17 to $25 billion per gigawatt in contract value, a dramatic discount to xAI's pricing, but still an extraordinary business model when the underlying infrastructure costs $9 to $12 million per megawatt to operate and customers are signing 5-year locked contracts. H100 GPU-hours from neoclouds like Nebius at $2.95 per GPU-hour are 66% cheaper than hyperscaler rates, which is the structural reason enterprise AI teams are shifting spend to neoclouds at an accelerating pace. The neocloud market is projected to grow 69% annually through 2030 to reach nearly $180 billion and right now only a handful of public companies offer direct exposure to it. Nebius is the standout among the publicly traded neoclouds. It reported Q1 2026 AI cloud revenue of $399 million, an 841% increase year over year beating estimates, with its CEO stating that demand continues to exceed available capacity and customers are actively being turned away. Nebius commands a 20 to 25% revenue premium over peers thanks to its full-stack software offering, European sovereign positioning, and data residency advantages that physically prevent hyperscalers from competing for a large portion of its customer base. It has $49 billion in contracted backlog with Meta, Microsoft, and Nvidia meaning its revenue trajectory for the next three to five years is not a forecast, it is a schedule. The competitive moat is in power, permits, and speed exactly what xAI has proven is the true bottleneck. Jensen Huang said publicly that xAI deploys data centers faster than anyone else in the ecosystem, and Baker called out that this deployment speed advantage directly translates to monetization speed, every week of earlier energization at these pricing levels is worth hundreds of millions in revenue. Neoclouds with secured power, permits, and long-term customer contracts are not in a fair race against companies still waiting on grid connections and zoning approvals. The companies with the most locked in gigawatts coming online in 2026 and 2027 are about to have very good years.
1:14

The market is watching xAI charge $50 billion per gigawatt and the rest of the neocloud sector run up is just getting started (Save this). According to Gavin Baker of Atreides Management, this is the most important number in AI infrastructure right now, xAI is monetizing compute at $50 billion per gigawatt on the Google deal, 2 to 3 times what any neocloud competitor charges. Google is paying $920 million per month for access to roughly 110,000 Nvidia GPUs through June 2029, and Anthropic is paying $1.25 billion per month for Colossus 1's 300 megawatts. Baker's point is simple that stop tracking rocket launches, stop tracking GPU orders, model gigawatt additions. At $50 billion per gigawatt, every new gigawatt that xAI energizes over the next 12 months is a revenue event that the market has not yet priced in. But this is not just an xAI story but rather why neocloud stocks are one of the most mispriced assets in the entire AI stack. Neoclouds charge $17 to $25 billion per gigawatt in contract value, a dramatic discount to xAI's pricing, but still an extraordinary business model when the underlying infrastructure costs $9 to $12 million per megawatt to operate and customers are signing 5-year locked contracts. H100 GPU-hours from neoclouds like Nebius at $2.95 per GPU-hour are 66% cheaper than hyperscaler rates, which is the structural reason enterprise AI teams are shifting spend to neoclouds at an accelerating pace. The neocloud market is projected to grow 69% annually through 2030 to reach nearly $180 billion and right now only a handful of public companies offer direct exposure to it. Nebius is the standout among the publicly traded neoclouds. It reported Q1 2026 AI cloud revenue of $399 million, an 841% increase year over year beating estimates, with its CEO stating that demand continues to exceed available capacity and customers are actively being turned away. Nebius commands a 20 to 25% revenue premium over peers thanks to its full-stack software offering, European sovereign positioning, and data residency advantages that physically prevent hyperscalers from competing for a large portion of its customer base. It has $49 billion in contracted backlog with Meta, Microsoft, and Nvidia meaning its revenue trajectory for the next three to five years is not a forecast, it is a schedule. The competitive moat is in power, permits, and speed exactly what xAI has proven is the true bottleneck. Jensen Huang said publicly that xAI deploys data centers faster than anyone else in the ecosystem, and Baker called out that this deployment speed advantage directly translates to monetization speed, every week of earlier energization at these pricing levels is worth hundreds of millions in revenue. Neoclouds with secured power, permits, and long-term customer contracts are not in a fair race against companies still waiting on grid connections and zoning approvals. The companies with the most locked in gigawatts coming online in 2026 and 2027 are about to have very good years.

Milk Road AI

74,611 views • 28 days ago

Yesterday I was opportune to be part of a Town Hall event organised by Channels Television anchored by SeunOkin Channels tv to discuss the Tax Reform Bills currently before the national assembly. The bills have seen significant opposition coming from some northern leaders and the NGF, especially on the issue of VAT revenue sharing among the states with many calling for the bills to be withdrawn by the President on account of this singular issue. Personally, I feel that part of the opposition from the bills stems from ignorance of the actual provisions contained in them or misconception of some aspects of the bill. However, when we look at the amount of VAT revenue that is triggering this whole haggling, you'll realise how precarious our revenue situation is. A dispassionate look at the data is essential to guide our positions on the necessity of these tax reforms. By the end of 2024, we may hit a record VAT collection of N6 trillion but that's just around $3.5 billion. In many states, their share of VAT revenue from FAAC in a year is bigger than their entire IGR! How on earth do you develop with such a revenue profile? This shows clearly that we need to reorganise and re-engineer our finances for optimum performance. This is what these bills seek to do. Although, increasing revenue collection is actually one of the intentions of these reforms but it is not the MAJOR reason. The major aim is to remove all the cogs and bottlenecks that affect growth and profitability of businesses in Nigeria by reducing their tax burden and exempting the small businesses from paying income tax. The vast majority of Nigerians who are poor would also be exempt from paying income tax. We're talking about 90% of Nigerians here! In other climes, any piece of legislation that brings overall tax relief to low income earners is always a popular bill with massive support. It is therefore bizarre that some persons are up in arms in Nigeria to oppose this kind of landmark legislation and they claim they're fighting for the masses. Data and logic should guide our positions and not sentiments or mischievous ignorance. Any reservations held by any individual or group about any section of the bills should be presented to the NASS during the public hearings and not calling for the withdrawal of the bills. Let's be serious in this country please.
4:58

Yesterday I was opportune to be part of a Town Hall event organised by Channels Television anchored by SeunOkin Channels tv to discuss the Tax Reform Bills currently before the national assembly. The bills have seen significant opposition coming from some northern leaders and the NGF, especially on the issue of VAT revenue sharing among the states with many calling for the bills to be withdrawn by the President on account of this singular issue. Personally, I feel that part of the opposition from the bills stems from ignorance of the actual provisions contained in them or misconception of some aspects of the bill. However, when we look at the amount of VAT revenue that is triggering this whole haggling, you'll realise how precarious our revenue situation is. A dispassionate look at the data is essential to guide our positions on the necessity of these tax reforms. By the end of 2024, we may hit a record VAT collection of N6 trillion but that's just around $3.5 billion. In many states, their share of VAT revenue from FAAC in a year is bigger than their entire IGR! How on earth do you develop with such a revenue profile? This shows clearly that we need to reorganise and re-engineer our finances for optimum performance. This is what these bills seek to do. Although, increasing revenue collection is actually one of the intentions of these reforms but it is not the MAJOR reason. The major aim is to remove all the cogs and bottlenecks that affect growth and profitability of businesses in Nigeria by reducing their tax burden and exempting the small businesses from paying income tax. The vast majority of Nigerians who are poor would also be exempt from paying income tax. We're talking about 90% of Nigerians here! In other climes, any piece of legislation that brings overall tax relief to low income earners is always a popular bill with massive support. It is therefore bizarre that some persons are up in arms in Nigeria to oppose this kind of landmark legislation and they claim they're fighting for the masses. Data and logic should guide our positions and not sentiments or mischievous ignorance. Any reservations held by any individual or group about any section of the bills should be presented to the NASS during the public hearings and not calling for the withdrawal of the bills. Let's be serious in this country please.

Michael Chibuzo®

16,022 views • 1 year ago

When you pay sales tax, your money goes up to Ottawa and Queen’s Park. I’m moving a motion for Toronto to finally receive a share of the HST, to invest in the services you rely on here in your city, every day. Please sign the petition: It’s budget season again in Toronto and the cracks are showing between the City’s revenue and the services that the City is expected to provide. For decades, provincial and federal governments have downloaded responsibilities to the City including roads, shelters, courts, daycare, public health and more. Today, approximately 27% of Toronto’s property tax revenue is spent funding extensions of federal and provincial responsibilities. But even as Toronto is told to take on more, the province prescribes what revenue tools are available to the City, and has restricted them almost exclusively to taxes on property. Toronto is one of Canada’s primary economic engines. The Toronto region generates 20% of the national GDP, 20% of Ontario’s jobs, and attracts more than 28 million annual visitors. This level of economic activity is enabled by the investments our city has made in social and civic infrastructure, including affordable housing, public health, roads and transit. We host people from across the country and around the world at events like Taylor Swift concerts, the World Series, and the FIFA games, which generates tens of millions of dollars in tax revenue for the provincial and federal governments. Meanwhile, the City shoulders the costs of additional policing, emergency services, transit, and crowd management that make these events possible. The math doesn’t work. Without any other source of revenue, municipalities have been forced to hike property taxes, cut vital services and delay critical infrastructure investments just to stay afloat. If Toronto is expected to continue driving national prosperity, it must be granted access to revenue tools that are predictable, reflect our investments, and grow with the economy. No more “new deals”. No more begging for one-time ad hoc program funding. It’s time for Toronto to have a fair share of the HST.
0:36

When you pay sales tax, your money goes up to Ottawa and Queen’s Park. I’m moving a motion for Toronto to finally receive a share of the HST, to invest in the services you rely on here in your city, every day. Please sign the petition: It’s budget season again in Toronto and the cracks are showing between the City’s revenue and the services that the City is expected to provide. For decades, provincial and federal governments have downloaded responsibilities to the City including roads, shelters, courts, daycare, public health and more. Today, approximately 27% of Toronto’s property tax revenue is spent funding extensions of federal and provincial responsibilities. But even as Toronto is told to take on more, the province prescribes what revenue tools are available to the City, and has restricted them almost exclusively to taxes on property. Toronto is one of Canada’s primary economic engines. The Toronto region generates 20% of the national GDP, 20% of Ontario’s jobs, and attracts more than 28 million annual visitors. This level of economic activity is enabled by the investments our city has made in social and civic infrastructure, including affordable housing, public health, roads and transit. We host people from across the country and around the world at events like Taylor Swift concerts, the World Series, and the FIFA games, which generates tens of millions of dollars in tax revenue for the provincial and federal governments. Meanwhile, the City shoulders the costs of additional policing, emergency services, transit, and crowd management that make these events possible. The math doesn’t work. Without any other source of revenue, municipalities have been forced to hike property taxes, cut vital services and delay critical infrastructure investments just to stay afloat. If Toronto is expected to continue driving national prosperity, it must be granted access to revenue tools that are predictable, reflect our investments, and grow with the economy. No more “new deals”. No more begging for one-time ad hoc program funding. It’s time for Toronto to have a fair share of the HST.

Josh Matlow

23,419 views • 5 months ago

$GRAB A sample of Future Delivery at 60-80% margin Read more below on how $GRAB will use Infermove to connect the last-mile delivery. Delivery segment is half of $GRAB current revenue. Delivery is likely to be a major % of Revenue in the future, especially when utilizing full Drone and Infermove robots. For example, by 2030 $16.34B Revenue, assuming Delivery at 35% or $5.7B revenue, at Full Drone and Robotic at scale would yield $2-$2.5B in Net Income. Battery cost will be $100 each with average 5-6 years lifespan at $2000 cost per unit that can carry up to 12-15lbs, significant improvement from 2023-2024. $GRAB will probably acquire a Chinese/Indo Drone maker like Infermove to scale it up in-house to have maximum control over cost. Meaning cost per drone could go down as low as $1,000/Drone and $1,500-$2,000 per Infermove Carri FLEX. Regulation is the biggest risk as 8 countries have different drone regulations. But $GRAB is expert when it comes to dealing with regulators, so I'm not worried. We could be talking abt massive scale by 2027 of what I'm describing here. Yes, it will be similar but slightly different than the Chinese Last mile delivery. GrabMap will be very important for this Last Mile Delivery success. Autonomous Vehicle will be a long time in SEA as Infrastructure is poor. But certain major cities will do. $GRAB is pushing for more Female drivers with new safeguards so they can double or triple the Drivers' supply. Demand is currently 3-4x higher than what Grab could service. Meaning 5m million registered driver-partners needs to go up to 15-20m. Lots of growth ahead. Will be massive Long Term! Not Financial Advice!
0:26

$GRAB A sample of Future Delivery at 60-80% margin Read more below on how $GRAB will use Infermove to connect the last-mile delivery. Delivery segment is half of $GRAB current revenue. Delivery is likely to be a major % of Revenue in the future, especially when utilizing full Drone and Infermove robots. For example, by 2030 $16.34B Revenue, assuming Delivery at 35% or $5.7B revenue, at Full Drone and Robotic at scale would yield $2-$2.5B in Net Income. Battery cost will be $100 each with average 5-6 years lifespan at $2000 cost per unit that can carry up to 12-15lbs, significant improvement from 2023-2024. $GRAB will probably acquire a Chinese/Indo Drone maker like Infermove to scale it up in-house to have maximum control over cost. Meaning cost per drone could go down as low as $1,000/Drone and $1,500-$2,000 per Infermove Carri FLEX. Regulation is the biggest risk as 8 countries have different drone regulations. But $GRAB is expert when it comes to dealing with regulators, so I'm not worried. We could be talking abt massive scale by 2027 of what I'm describing here. Yes, it will be similar but slightly different than the Chinese Last mile delivery. GrabMap will be very important for this Last Mile Delivery success. Autonomous Vehicle will be a long time in SEA as Infrastructure is poor. But certain major cities will do. $GRAB is pushing for more Female drivers with new safeguards so they can double or triple the Drivers' supply. Demand is currently 3-4x higher than what Grab could service. Meaning 5m million registered driver-partners needs to go up to 15-20m. Lots of growth ahead. Will be massive Long Term! Not Financial Advice!

Mike

99,522 views • 6 months ago

I think Starlink is wildly undervalued. It’s a $1+ trillion company in the making on its own. A lot of people still think Starlink is just “internet from space,” but in reality, it’s one of the most important communications networks ever built. In 2025 alone, Starlink generated $11.4 billion in revenue, accounting for roughly 61% of SpaceX’s total revenue. It served more than 10 million customers globally and generated $4.4 billion in operating profit w/ EBITDA margins of 63%. Starlink is a cash machine. Fyi, independent analysts forecast Starlink will generate approximately $20 billion in revenue, $14 billion in EBITDA, and over $8 billion in free cash flow in 2026… plus consumer broadband will continue to expand rapidly, while aviation, maritime, Starshield, and direct-to-cell services will open entirely new markets. The real advantage is that Starlink owns the entire stack. SpaceX builds the satellites, they launch the satellites, they operate the network, and they manufacture the user terminals. No competitor comes close to that level of vertical integration…. On top of this, starship will make the story even more crazier with next-generation satellites, 100+ satellites per launch, dramatically lowering launch costs, and thousands of new satellites being deployed each year, the cost of serving additional customers continuing to fall, while the network & tech keep getting stronger. If you really want to understand why SpaceX is at a $2T valuation… start with Starlink. Starlink already generates the majority of SpaceX’s revenue, profit, and free cash flow. It helps fund Starship development, supports expansion across the company, and provides the financial engine behind SpaceX’s long-term ambitions. The bull case is based on real revenue, real profits, real customers, and a moat that gets wider every year… NOT hype. The way I see it, Starlink will become the most valuable communication company in human history and a $1 trillion valuation doesn’t sound crazy to me for this business/technology alone.
0:23

I think Starlink is wildly undervalued. It’s a $1+ trillion company in the making on its own. A lot of people still think Starlink is just “internet from space,” but in reality, it’s one of the most important communications networks ever built. In 2025 alone, Starlink generated $11.4 billion in revenue, accounting for roughly 61% of SpaceX’s total revenue. It served more than 10 million customers globally and generated $4.4 billion in operating profit w/ EBITDA margins of 63%. Starlink is a cash machine. Fyi, independent analysts forecast Starlink will generate approximately $20 billion in revenue, $14 billion in EBITDA, and over $8 billion in free cash flow in 2026… plus consumer broadband will continue to expand rapidly, while aviation, maritime, Starshield, and direct-to-cell services will open entirely new markets. The real advantage is that Starlink owns the entire stack. SpaceX builds the satellites, they launch the satellites, they operate the network, and they manufacture the user terminals. No competitor comes close to that level of vertical integration…. On top of this, starship will make the story even more crazier with next-generation satellites, 100+ satellites per launch, dramatically lowering launch costs, and thousands of new satellites being deployed each year, the cost of serving additional customers continuing to fall, while the network & tech keep getting stronger. If you really want to understand why SpaceX is at a $2T valuation… start with Starlink. Starlink already generates the majority of SpaceX’s revenue, profit, and free cash flow. It helps fund Starship development, supports expansion across the company, and provides the financial engine behind SpaceX’s long-term ambitions. The bull case is based on real revenue, real profits, real customers, and a moat that gets wider every year… NOT hype. The way I see it, Starlink will become the most valuable communication company in human history and a $1 trillion valuation doesn’t sound crazy to me for this business/technology alone.

Teslaconomics

27,597 views • 1 month ago

🚨 BREAKING: TECH COMPANIES ARE STRAIGHT FALSIFICATING EARNINGS Microsoft just gave OpenAI $13 BILLION OpenAI invested it back to Azure Microsoft booked it as revenue OpenAI booked it as a revenue too Amazon and Google are running similar loops with Anthropic while marking up huge paper gains from AI valuations Nvidia and Oracle don't even hide this scheme anymore OpenAI is spending over $60 BILLION a year on compute while generating only $25 BILLION in revenue. Ray Dalio, one of the most profitable investors in the world, has warned that late stage bubbles are driven by fake flows, not real economics He saw it before in 2000, 2008 Now he warns the same ponzi is happening at bigger scale That is exactly the definition of top of the market Keep in mind: I’ve called every major market top and bottom for over 10 YEARS I was one of the only people who called the top in October, and I’ll do it again That’s literally my job If you still haven’t followed me, you’ll regret
0:29

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

Hopper

18,271 views • 24 days ago

$GRAB AI SuperApp Valuation is STUPID👀 Video was from CNBC w/ Howard Marks, a major shareholder on $GRAB. $GRAB is now trading at 3.5 P/S FY 2026 revenue($6.2B) after $GOTO Mobility/Delivery Acquisition with $6B+ in cash and very little debt. Expected growth after 90-95% market share consolidation is 40%+ top and bottom line. This is when $GRAB introduces higher margin services as it has the monopoly in SEA or 700m population. For example, Dine-Out has 70-80% margin (20-30% commission), and this new services drove 1/3-1/4 of all new users growth. And Grab is only 6.5% penetration(700m), 14% thesis (5 billion people TAM). We are very EARLY! Long term shareholders should also expect expansion shortly after this consolidation. Most likely H2 2026 or H1 2027. You can hate Grab or call it a Chinese company based in Singapore as much as you want, but this valuation is stupid. This balance sheet and this kind of growth deserve a premium 8-10 P/S. I will be here to enjoy the ride when the market prices this SuperApp correctly.
11:01

$GRAB AI SuperApp Valuation is STUPID👀 Video was from CNBC w/ Howard Marks, a major shareholder on $GRAB. $GRAB is now trading at 3.5 P/S FY 2026 revenue($6.2B) after $GOTO Mobility/Delivery Acquisition with $6B+ in cash and very little debt. Expected growth after 90-95% market share consolidation is 40%+ top and bottom line. This is when $GRAB introduces higher margin services as it has the monopoly in SEA or 700m population. For example, Dine-Out has 70-80% margin (20-30% commission), and this new services drove 1/3-1/4 of all new users growth. And Grab is only 6.5% penetration(700m), 14% thesis (5 billion people TAM). We are very EARLY! Long term shareholders should also expect expansion shortly after this consolidation. Most likely H2 2026 or H1 2027. You can hate Grab or call it a Chinese company based in Singapore as much as you want, but this valuation is stupid. This balance sheet and this kind of growth deserve a premium 8-10 P/S. I will be here to enjoy the ride when the market prices this SuperApp correctly.

Mike

279,592 views • 7 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 • 23 days ago

A historic day for financial markets as SpaceX achieves the largest IPO in history at $1.75T The numbers are big but I believe we are early in SpaceX’s arc to make humans multi planetary and become larger than the combined GDP of the world today ($100T ish) Both Starlink and AI satellites can be multi trillion dollar business and are the first two applications of having the reusable rocket launch Next will be building infrastructure on the moon, mars and then asteroid mining Revenue was at $18.8B as of Q1 26 but has already doubled since with the Anthropic and Google deals. Combined with Cursor and Starlink V3 ramp later this year we will be approaching a $50B revenue run rate in just a few months By 2030 I project $500B in potential revenue with half of that if not more as operating cashflow At a 20x multiple on 50% margins we hit $5T valuation in just 3.5 years … and rapidly growing intrinsic value from there Spacex could easily not focus on revenue this much and continue to just build its core tech for moon and mars , we’ll see Either way, incredibly pumped to be a $SPCX shareholder and congrats to all employees and Elon Musk in this epic IPO. To the moon and mars !!!!! 🚀🚀🚀
36:17

A historic day for financial markets as SpaceX achieves the largest IPO in history at $1.75T The numbers are big but I believe we are early in SpaceX’s arc to make humans multi planetary and become larger than the combined GDP of the world today ($100T ish) Both Starlink and AI satellites can be multi trillion dollar business and are the first two applications of having the reusable rocket launch Next will be building infrastructure on the moon, mars and then asteroid mining Revenue was at $18.8B as of Q1 26 but has already doubled since with the Anthropic and Google deals. Combined with Cursor and Starlink V3 ramp later this year we will be approaching a $50B revenue run rate in just a few months By 2030 I project $500B in potential revenue with half of that if not more as operating cashflow At a 20x multiple on 50% margins we hit $5T valuation in just 3.5 years … and rapidly growing intrinsic value from there Spacex could easily not focus on revenue this much and continue to just build its core tech for moon and mars , we’ll see Either way, incredibly pumped to be a $SPCX shareholder and congrats to all employees and Elon Musk in this epic IPO. To the moon and mars !!!!! 🚀🚀🚀

Gali

16,180 views • 1 month ago

$AMD Valuation at $70-$100B Revenue in 2026🧵 As of December 4, 2025, AMD's stock trades at approximately $220, with a market cap of $355billion. Revised Valuation with $70B Revenue Earnings Per Share (EPS): Assuming a 40% operating margin (consistent with historical trends, probably higher), $70 billion in revenue translates to $28 billion in operating income. After taxes and interest, net income could be $20 billion, or $12.50 EPS Forward P/E: At 50x-60x (a premium due to growth), the stock price could reach $650-$750 EV/EBITDA: With $28 billion EBITDA, at 40x, EV is $1.12 trillion. Subtracting $5 billion net debt, equity value is $1.115 trillion, or $697 per share. Revised Valuation with $100B Revenue EPS: $100 billion revenue at 45% margin yields $45 billion operating income, $35 billion net income, or $22 EPS. Forward P/E: At 50x-70x, the stock price could reach $1,100-$1,540 EV/EBITDA: $40 billion EBITDA at 45x EV/EBITDA yields $1.8 trillion EV. Subtracting $5 billion net debt, equity value is $1.795 trillion, or $1,122 per share. The market's willingness to assign a high P/E multiple to AMD will be based on the anticipation that these partnerships will translate into substantial revenue and earnings growth. The P/E ratio for the semiconductor industry is approximately 58.57, a significant increase from previous years because of AI CapEx Growth and we are only 2nd year of 10 years cycle. Hence, if $AMD grew to $70B-$100B revenue in 2026, 50x-70x P/E is justified. AMD's existing partnerships with OpenAI , $Meta, $MSFT, $AMZN, $GOOGL, $DELL, $HPE, $SMCI,xAI , Oracle, Vulture combined with new collaborations with international 40+ countries like Saudi,UAE form a solid foundation for revenue growth. The OpenAI deal alone could contribute $25 billion to $28 billion(2026), while Meta's expanded allocation and Oracle's increased orders with the rest add substantial upside of 1m+ GPUs(FY2026) . Technological Leadership: The MI450 GPU, with its superior inference and training capabilities, positions AMD to disrupt Nvidia's market dominance. Benchmarks show 1.5-2x performance advantages at 35-50% lower TCO, making it an attractive choice for hyperscalers. The ROCm platform's maturity, supporting day-zero integration for major AI models, closes the software gap with CUDA, enhancing AMD's competitiveness. In conclusion, AMD's combination of strategic partnerships, technological leadership, and favorable market dynamics positions it to achieve $70 billion to $100 billion in revenue by 2026. This growth is not merely aspirational but grounded in real demand signals and execution capabilities. While risks remain, the upside potential is significant, making AMD a the best AI Name in this AI Supercycle trading at extreme cheap valuation. Not Financial Advice!
1:37

$AMD Valuation at $70-$100B Revenue in 2026🧵 As of December 4, 2025, AMD's stock trades at approximately $220, with a market cap of $355billion. Revised Valuation with $70B Revenue Earnings Per Share (EPS): Assuming a 40% operating margin (consistent with historical trends, probably higher), $70 billion in revenue translates to $28 billion in operating income. After taxes and interest, net income could be $20 billion, or $12.50 EPS Forward P/E: At 50x-60x (a premium due to growth), the stock price could reach $650-$750 EV/EBITDA: With $28 billion EBITDA, at 40x, EV is $1.12 trillion. Subtracting $5 billion net debt, equity value is $1.115 trillion, or $697 per share. Revised Valuation with $100B Revenue EPS: $100 billion revenue at 45% margin yields $45 billion operating income, $35 billion net income, or $22 EPS. Forward P/E: At 50x-70x, the stock price could reach $1,100-$1,540 EV/EBITDA: $40 billion EBITDA at 45x EV/EBITDA yields $1.8 trillion EV. Subtracting $5 billion net debt, equity value is $1.795 trillion, or $1,122 per share. The market's willingness to assign a high P/E multiple to AMD will be based on the anticipation that these partnerships will translate into substantial revenue and earnings growth. The P/E ratio for the semiconductor industry is approximately 58.57, a significant increase from previous years because of AI CapEx Growth and we are only 2nd year of 10 years cycle. Hence, if $AMD grew to $70B-$100B revenue in 2026, 50x-70x P/E is justified. AMD's existing partnerships with OpenAI , $Meta, $MSFT, $AMZN, $GOOGL, $DELL, $HPE, $SMCI,xAI , Oracle, Vulture combined with new collaborations with international 40+ countries like Saudi,UAE form a solid foundation for revenue growth. The OpenAI deal alone could contribute $25 billion to $28 billion(2026), while Meta's expanded allocation and Oracle's increased orders with the rest add substantial upside of 1m+ GPUs(FY2026) . Technological Leadership: The MI450 GPU, with its superior inference and training capabilities, positions AMD to disrupt Nvidia's market dominance. Benchmarks show 1.5-2x performance advantages at 35-50% lower TCO, making it an attractive choice for hyperscalers. The ROCm platform's maturity, supporting day-zero integration for major AI models, closes the software gap with CUDA, enhancing AMD's competitiveness. In conclusion, AMD's combination of strategic partnerships, technological leadership, and favorable market dynamics positions it to achieve $70 billion to $100 billion in revenue by 2026. This growth is not merely aspirational but grounded in real demand signals and execution capabilities. While risks remain, the upside potential is significant, making AMD a the best AI Name in this AI Supercycle trading at extreme cheap valuation. Not Financial Advice!

Mike

187,491 views • 7 months ago

Nebius will be a TRILLION dollar company and here is exactly why (Save this). Brad Gerstner's Altimeter said on camera that they are invested in ClickHouse, and explained exactly why in one sentence: "If you're in the data infrastructure layer, then token consumption is driving a lot more consumption of your basic services." The flip side of that point is equally important. Gerstner added that the closer you are to a point solution, a single use app built on top of AI, "that feels like you're on the front of the conveyor belt heading toward the guillotine." Models get better, apps get commoditized and the companies that own the foundational infrastructure that every AI application must run through keep compounding. ClickHouse is exactly that foundational layer. It is a real time analytical database engine originally built inside Yandex, optimized for the exact query patterns that AI agents, LLM observability pipelines, and machine learning infrastructure generate, massive write volumes, complex aggregations, and sub-second response at scale. It processes hundreds of billions of rows per second, serves over 2,000 enterprise customers including Cloudflare, Uber and ByteDance, and grew 300% in a single year. In January 2026, a $400 million Series D valued ClickHouse at $15 billion more than double its $6 billion valuation just eight months prior. Here is where Nebius comes in. Nebius holds a 28% stake in ClickHouse, an asset that traces back to its Yandex origins. At ClickHouse's current $15 billion valuation, that stake is worth approximately $4.2 billion, sitting largely unrecognized on Nebius's balance sheet while most market coverage focuses entirely on the AI cloud business. A ClickHouse IPO, which the company is actively positioning toward, would force the market to mark that position to full public market value for the first time and could alone reprice Nebius meaningfully. But that hidden asset is just one layer of the bull case. The core AI cloud business just printed 684% year over year revenue growth, $399 million in Q1 2026 against $50 million a year prior. AI specific revenue grew 841% and now represents 98% of total revenue. The moat underneath those numbers is 3.5 gigawatts of secured power capacity, a $27 billion five year contract with Meta, a $2 billion strategic investment from Nvidia, and a Microsoft partnership ramping to full run rate in 2027, all stacked on top of a ClickHouse stake that the market is still not fully pricing in. Long Nebius and make sure to follow me Melvin for more underlooked AI oppurtunities.
0:20

Nebius will be a TRILLION dollar company and here is exactly why (Save this). Brad Gerstner's Altimeter said on camera that they are invested in ClickHouse, and explained exactly why in one sentence: "If you're in the data infrastructure layer, then token consumption is driving a lot more consumption of your basic services." The flip side of that point is equally important. Gerstner added that the closer you are to a point solution, a single use app built on top of AI, "that feels like you're on the front of the conveyor belt heading toward the guillotine." Models get better, apps get commoditized and the companies that own the foundational infrastructure that every AI application must run through keep compounding. ClickHouse is exactly that foundational layer. It is a real time analytical database engine originally built inside Yandex, optimized for the exact query patterns that AI agents, LLM observability pipelines, and machine learning infrastructure generate, massive write volumes, complex aggregations, and sub-second response at scale. It processes hundreds of billions of rows per second, serves over 2,000 enterprise customers including Cloudflare, Uber and ByteDance, and grew 300% in a single year. In January 2026, a $400 million Series D valued ClickHouse at $15 billion more than double its $6 billion valuation just eight months prior. Here is where Nebius comes in. Nebius holds a 28% stake in ClickHouse, an asset that traces back to its Yandex origins. At ClickHouse's current $15 billion valuation, that stake is worth approximately $4.2 billion, sitting largely unrecognized on Nebius's balance sheet while most market coverage focuses entirely on the AI cloud business. A ClickHouse IPO, which the company is actively positioning toward, would force the market to mark that position to full public market value for the first time and could alone reprice Nebius meaningfully. But that hidden asset is just one layer of the bull case. The core AI cloud business just printed 684% year over year revenue growth, $399 million in Q1 2026 against $50 million a year prior. AI specific revenue grew 841% and now represents 98% of total revenue. The moat underneath those numbers is 3.5 gigawatts of secured power capacity, a $27 billion five year contract with Meta, a $2 billion strategic investment from Nvidia, and a Microsoft partnership ramping to full run rate in 2027, all stacked on top of a ClickHouse stake that the market is still not fully pricing in. Long Nebius and make sure to follow me Melvin for more underlooked AI oppurtunities.

Melvin

69,634 views • 12 days ago

BREAKING $GRAB Newest Anthony Tan Interview On Rapid Response In this interview, Anthony Tan does not just see $GRAB just a SuperApp business, he saw $GRAB creating B2B Products out of data. Essentially GRAB is a software company with data driven approach. ~I have talked about $FICO like on $GRAB Fin for months. Here Anthony will discuss it in detail. How the company is data driven business to make it even more affordable and profitable over time. ~He wants to make $GRAB SuperApp 1% better everyday. And adopting #AI to become the dominant force in the world! ~Folks at the bottom of the pyramid are now have access to the most advanced generative AI at no cost. Anthony is changing the lives in 700m people at a pace unimaginable with OpenAI Anthropic! ~Anthony talked about HyperLocal in which I discussed extensively in the "secret sauce" thread. That was how $GRAB won $UBER and incoming/existing players. Amazon and Microsoft are now buying $GRAB Mapping tool😲. Sooner or later, $GRAB will build even more B2B products to sell to US largest market cap companies. GRABFico will be very valuable for most financial institutions that want to do business in SEA. ~Anthony saw massive upside on penetration in the coming years in current 8 countries. ~Anthony discussed "culture" of $GRAB SuperApp, how he would personally listen to drivers to improve it right away. Grab also works closely with government to uplift people, to create more employment. ~Anthony works from 6am to 11:30pm. His work schedule hasn't changed from day one. High intensity work, or "you can sleep all you want when you're dead." ~13m registered merchants/drivers on the SuperApp, Anthony wants to embrace #AI to help them, invest in them now to make better decisions everyday.
25:44

BREAKING $GRAB Newest Anthony Tan Interview On Rapid Response In this interview, Anthony Tan does not just see $GRAB just a SuperApp business, he saw $GRAB creating B2B Products out of data. Essentially GRAB is a software company with data driven approach. ~I have talked about $FICO like on $GRAB Fin for months. Here Anthony will discuss it in detail. How the company is data driven business to make it even more affordable and profitable over time. ~He wants to make $GRAB SuperApp 1% better everyday. And adopting #AI to become the dominant force in the world! ~Folks at the bottom of the pyramid are now have access to the most advanced generative AI at no cost. Anthony is changing the lives in 700m people at a pace unimaginable with OpenAI Anthropic! ~Anthony talked about HyperLocal in which I discussed extensively in the "secret sauce" thread. That was how $GRAB won $UBER and incoming/existing players. Amazon and Microsoft are now buying $GRAB Mapping tool😲. Sooner or later, $GRAB will build even more B2B products to sell to US largest market cap companies. GRABFico will be very valuable for most financial institutions that want to do business in SEA. ~Anthony saw massive upside on penetration in the coming years in current 8 countries. ~Anthony discussed "culture" of $GRAB SuperApp, how he would personally listen to drivers to improve it right away. Grab also works closely with government to uplift people, to create more employment. ~Anthony works from 6am to 11:30pm. His work schedule hasn't changed from day one. High intensity work, or "you can sleep all you want when you're dead." ~13m registered merchants/drivers on the SuperApp, Anthony wants to embrace #AI to help them, invest in them now to make better decisions everyday.

Mike

95,295 views • 10 months ago

$GRAB long term shareholders should expect massive amount of new traders gonna come out and declare $50 or $100 next month/year Grab in the coming weeks/months! I'm not going to participate on that. I knew my call on the fall to break was bold, but it is doing exactly that(we are 12 days in the fall). I also think it is possible to get $1B quarter revenue by Q4 2025(currently at 50% odd). Most should only focus on fundamental. My DDs are available to search with my Mike at the cost of free.99. I do expect a wave of retail investors hype on this as the "tamer" already done with its core position. Short interest should move down slowly to avoid spike on unrealized loss for them. Will update new SI data when it is available. We should also move to $40B market cap fairly quickly, and I believe that is a fair valuation relative to its cash and potential(Around $10). 2025-2026 Grab will focus resources on GrabMart, GrabDrone, GrabFin, GrabUnlimited. More R&D spending to be expected as B2B solutions are intended to generate revenue. I will write another thread of "secret sauce" on B2B front as we get more color in Q3 Q4. It should be similar to B2C, "Customer obsession over competition". I dislike hype on my long term, but it does happen very often. I want a healthy and constructive community on $GRAB. I really don't want to hear pump and dump here. If you are trading $GRAB, have a clear exit strategy. I'm also ready to hear your bear thesis, and keep it respectful. Alright, that is it. Have a great weekend folks! Not Financial Advice!
3:53

$GRAB long term shareholders should expect massive amount of new traders gonna come out and declare $50 or $100 next month/year Grab in the coming weeks/months! I'm not going to participate on that. I knew my call on the fall to break was bold, but it is doing exactly that(we are 12 days in the fall). I also think it is possible to get $1B quarter revenue by Q4 2025(currently at 50% odd). Most should only focus on fundamental. My DDs are available to search with my Mike at the cost of free.99. I do expect a wave of retail investors hype on this as the "tamer" already done with its core position. Short interest should move down slowly to avoid spike on unrealized loss for them. Will update new SI data when it is available. We should also move to $40B market cap fairly quickly, and I believe that is a fair valuation relative to its cash and potential(Around $10). 2025-2026 Grab will focus resources on GrabMart, GrabDrone, GrabFin, GrabUnlimited. More R&D spending to be expected as B2B solutions are intended to generate revenue. I will write another thread of "secret sauce" on B2B front as we get more color in Q3 Q4. It should be similar to B2C, "Customer obsession over competition". I dislike hype on my long term, but it does happen very often. I want a healthy and constructive community on $GRAB. I really don't want to hear pump and dump here. If you are trading $GRAB, have a clear exit strategy. I'm also ready to hear your bear thesis, and keep it respectful. Alright, that is it. Have a great weekend folks! Not Financial Advice!

Mike

119,905 views • 10 months ago

Nebius will be a TRILLION dollar company and here is exactly why (Save this). Brad Gerstner's Altimeter just said on camera that they are invested in ClickHouse, and explained exactly why in one sentence: "If you're in the data infrastructure layer, then token consumption is driving a lot more consumption of your basic services." The flip side of that point is equally important. Gerstner added that the closer you are to a point solution, a single use app built on top of AI, "that feels like you're on the front of the conveyor belt heading toward the guillotine." Models get better, apps get commoditized and the companies that own the foundational infrastructure that every AI application must run through keep compounding. ClickHouse is exactly that foundational layer. It is a real time analytical database engine originally built inside Yandex, optimized for the exact query patterns that AI agents, LLM observability pipelines, and machine learning infrastructure generate, massive write volumes, complex aggregations, and sub-second response at scale. It processes hundreds of billions of rows per second, serves over 2,000 enterprise customers including Cloudflare, Uber and ByteDance, and grew 300% in a single year. In January 2026, a $400 million Series D valued ClickHouse at $15 billion more than double its $6 billion valuation just eight months prior. Here is where Nebius comes in. Nebius holds a 28% stake in ClickHouse, an asset that traces back to its Yandex origins. At ClickHouse's current $15 billion valuation, that stake is worth approximately $4.2 billion, sitting largely unrecognized on Nebius's balance sheet while most market coverage focuses entirely on the AI cloud business. A ClickHouse IPO, which the company is actively positioning toward, would force the market to mark that position to full public market value for the first time and could alone reprice Nebius meaningfully. But that hidden asset is just one layer of the bull case. The core AI cloud business just printed 684% year over year revenue growth, $399 million in Q1 2026 against $50 million a year prior. AI specific revenue grew 841% and now represents 98% of total revenue. The moat underneath those numbers is 3.5 gigawatts of secured power capacity, a $27 billion five year contract with Meta, a $2 billion strategic investment from Nvidia, and a Microsoft partnership ramping to full run rate in 2027, all stacked on top of a ClickHouse stake that the market is still not fully pricing in. Milk Road Pro remains massively bullish on Nebius, we called it early, we are up huge on the position, and we continue to track every development across AI infrastructure before it becomes obvious to the rest of the market. Come join us to see our full Nebius thesis and every other position in the portfolio, link below!
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Nebius will be a TRILLION dollar company and here is exactly why (Save this). Brad Gerstner's Altimeter just said on camera that they are invested in ClickHouse, and explained exactly why in one sentence: "If you're in the data infrastructure layer, then token consumption is driving a lot more consumption of your basic services." The flip side of that point is equally important. Gerstner added that the closer you are to a point solution, a single use app built on top of AI, "that feels like you're on the front of the conveyor belt heading toward the guillotine." Models get better, apps get commoditized and the companies that own the foundational infrastructure that every AI application must run through keep compounding. ClickHouse is exactly that foundational layer. It is a real time analytical database engine originally built inside Yandex, optimized for the exact query patterns that AI agents, LLM observability pipelines, and machine learning infrastructure generate, massive write volumes, complex aggregations, and sub-second response at scale. It processes hundreds of billions of rows per second, serves over 2,000 enterprise customers including Cloudflare, Uber and ByteDance, and grew 300% in a single year. In January 2026, a $400 million Series D valued ClickHouse at $15 billion more than double its $6 billion valuation just eight months prior. Here is where Nebius comes in. Nebius holds a 28% stake in ClickHouse, an asset that traces back to its Yandex origins. At ClickHouse's current $15 billion valuation, that stake is worth approximately $4.2 billion, sitting largely unrecognized on Nebius's balance sheet while most market coverage focuses entirely on the AI cloud business. A ClickHouse IPO, which the company is actively positioning toward, would force the market to mark that position to full public market value for the first time and could alone reprice Nebius meaningfully. But that hidden asset is just one layer of the bull case. The core AI cloud business just printed 684% year over year revenue growth, $399 million in Q1 2026 against $50 million a year prior. AI specific revenue grew 841% and now represents 98% of total revenue. The moat underneath those numbers is 3.5 gigawatts of secured power capacity, a $27 billion five year contract with Meta, a $2 billion strategic investment from Nvidia, and a Microsoft partnership ramping to full run rate in 2027, all stacked on top of a ClickHouse stake that the market is still not fully pricing in. Milk Road Pro remains massively bullish on Nebius, we called it early, we are up huge on the position, and we continue to track every development across AI infrastructure before it becomes obvious to the rest of the market. Come join us to see our full Nebius thesis and every other position in the portfolio, link below!

Milk Road AI

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