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Mining will create more millionaires than AI over the next decade. Yet everyone is chasing chips and software. Here's why the real money is in what powers all of it: The world is obsessed with AI. Every portfolio, every headline, every allocation decision points in the same direction. But...

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Terry Lynch

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35,823 просмотров • 4 месяцев назад •via X (Twitter)

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More millionaires will be made in mining and commodities over the next 5 years than in AI. I know that sounds wild. Hear me out. AI runs on copper, nickel, lithium, uranium. Every datacenter, every robot, every EV. The catch: we haven't sanctioned a major copper mine in over a decade. Discovery curves are flat. Discovery to production takes 15+ years. Exploding demand meeting structurally constrained supply. Textbook setup for a generational commodities bull run. AI gets the headlines. The shovels get the returns. Full conversation:
0:38

More millionaires will be made in mining and commodities over the next 5 years than in AI. I know that sounds wild. Hear me out. AI runs on copper, nickel, lithium, uranium. Every datacenter, every robot, every EV. The catch: we haven't sanctioned a major copper mine in over a decade. Discovery curves are flat. Discovery to production takes 15+ years. Exploding demand meeting structurally constrained supply. Textbook setup for a generational commodities bull run. AI gets the headlines. The shovels get the returns. Full conversation:

Terry Lynch

231,063 просмотров • 4 месяцев назад

Every AI model needs somewhere to run. Compute. Power. Data centres. That's the bottleneck now, not the software. Canada is putting billions on the table through 2030 to secure sovereign AI capacity. HIVE Digital Technologies is building that infrastructure now, ahead of the funding curve. Why investors are watching: - Sovereign AI compute infrastructure, live in Canada - Data centres, GPU capacity, and power, already in motion - Dual-engine business model generating revenue while expanding AI infrastructure - Sitting at the intersection of AI, energy, and infrastructure - Exposure to one of tech's fastest-growing long-term trends Railroads built the industrial economy. The internet built the information economy. AI infrastructure is building this one. Every company will use AI. Fewer will own what it runs on. Learn More:
0:30

Every AI model needs somewhere to run. Compute. Power. Data centres. That's the bottleneck now, not the software. Canada is putting billions on the table through 2030 to secure sovereign AI capacity. HIVE Digital Technologies is building that infrastructure now, ahead of the funding curve. Why investors are watching: - Sovereign AI compute infrastructure, live in Canada - Data centres, GPU capacity, and power, already in motion - Dual-engine business model generating revenue while expanding AI infrastructure - Sitting at the intersection of AI, energy, and infrastructure - Exposure to one of tech's fastest-growing long-term trends Railroads built the industrial economy. The internet built the information economy. AI infrastructure is building this one. Every company will use AI. Fewer will own what it runs on. Learn More:

BTV & CEO Clips

24,998 просмотров • 2 месяцев назад

Robert Friedland on the masive copper shortage to meet future grid, clean energy and AI demand: “We’re consuming 30m tonnes of copper a year. Only 4m tonnes of which is recycled. That means to maintain 3% GDP growth — with no [further] electrification — we have to mine the same amount of copper in the next 18 years as we mined in the last 10,000 years, combined. In the next 18 years, I’ve got to mine the same amount of copper as we mined the last 10,000 years. [This is without any new] electrification, without data centers, without solar and wind and the greening of the world economy. You people have no idea whatsoever what we’re facing.”
4:00

Robert Friedland on the masive copper shortage to meet future grid, clean energy and AI demand: “We’re consuming 30m tonnes of copper a year. Only 4m tonnes of which is recycled. That means to maintain 3% GDP growth — with no [further] electrification — we have to mine the same amount of copper in the next 18 years as we mined in the last 10,000 years, combined. In the next 18 years, I’ve got to mine the same amount of copper as we mined the last 10,000 years. [This is without any new] electrification, without data centers, without solar and wind and the greening of the world economy. You people have no idea whatsoever what we’re facing.”

Trung Phan

1,029,260 просмотров • 8 месяцев назад

This is more than hype - this is utility, delivered. We’re entering the AI Era - and Spectre AI is building the on-chain infrastructure to guide it. $SPECT powers a growing suite of real-time tools built for traders, builders, and analysts navigating crypto’s next chapter. What is Spectre AI? Watch the video to find out! This is the next wave of $SPECT. With the AI Research Platform now live, the powerful AI Screener is on the horizon - unlocking the next level of real-time insight, discovery, and on-chain clarity. #ai
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This is more than hype - this is utility, delivered. We’re entering the AI Era - and Spectre AI is building the on-chain infrastructure to guide it. $SPECT powers a growing suite of real-time tools built for traders, builders, and analysts navigating crypto’s next chapter. What is Spectre AI? Watch the video to find out! This is the next wave of $SPECT. With the AI Research Platform now live, the powerful AI Screener is on the horizon - unlocking the next level of real-time insight, discovery, and on-chain clarity. #ai

SPECTRE AI

228,103 просмотров • 1 год назад

🚨 NOBODY IS WATCHING THE BEST SETUP IN THE MARKET RIGHT NOW Look at these two charts side by side. Gold is rolling over, down more than 20% from its high. Copper ripping, up 22%. That's not a coincidence, that's a rotation. And the tell is the copper/gold ratio. It just broke its downtrend for the first time all year and pushed to a 10-month high. Over the last three months, copper is up 14% while gold is down 17%. Capital is quietly moving from the fear trade into the growth trade. Here's why copper is set up to run for years, not months: → The grids are ancient. Goldman notes Europe's power grids average 50 years old and the US 40, both near the end of life. Modernizing them means massive, sustained copper demand. → Supply is drying up. New copper discoveries have collapsed since 2018, while demand stays structurally high. Less supply, more demand - that's the cleanest bull setup there is. → AI needs it. Every data center, every chip, every piece of AI hardware runs on copper. The AI buildout isn't just a chip story, it's a metals story underneath. And zoom out: copper has been in a long-term uptrend since 2011. The base is built. The catalysts are stacking. The hype hasn't even started yet. Gold had its run. The rotation is already underway. Copper is where the next one is setting up. Turn notifications on. I'll post the move before it's obvious.
0:27

🚨 NOBODY IS WATCHING THE BEST SETUP IN THE MARKET RIGHT NOW Look at these two charts side by side. Gold is rolling over, down more than 20% from its high. Copper ripping, up 22%. That's not a coincidence, that's a rotation. And the tell is the copper/gold ratio. It just broke its downtrend for the first time all year and pushed to a 10-month high. Over the last three months, copper is up 14% while gold is down 17%. Capital is quietly moving from the fear trade into the growth trade. Here's why copper is set up to run for years, not months: → The grids are ancient. Goldman notes Europe's power grids average 50 years old and the US 40, both near the end of life. Modernizing them means massive, sustained copper demand. → Supply is drying up. New copper discoveries have collapsed since 2018, while demand stays structurally high. Less supply, more demand - that's the cleanest bull setup there is. → AI needs it. Every data center, every chip, every piece of AI hardware runs on copper. The AI buildout isn't just a chip story, it's a metals story underneath. And zoom out: copper has been in a long-term uptrend since 2011. The base is built. The catalysts are stacking. The hype hasn't even started yet. Gold had its run. The rotation is already underway. Copper is where the next one is setting up. Turn notifications on. I'll post the move before it's obvious.

Qmo

169,631 просмотров • 1 месяц назад

🚨 SOMETHING VERY STRANGE IS HAPPENING Anthropic will go public in November at a $2T valuation. The biggest IPO in market history. And Wall Street is already lining up the buyers before it happens. I've been trading for more than 15 years and have never seen them build demand for an IPO this aggressively: Anthropic is preparing to raise $100 BILLION. Nvidia is lining up as much as $10 BILLION as an anchor investor. Read that again: The company selling the chips powering the AI boom is about to become one of the biggest buyers of the AI company going public. Before the public even gets in. Why? Because Anthropic does not just create demand for Anthropic. It pulls liquidity from everywhere else: - Retail sells stocks to chase the IPO. - Funds raise cash for allocation. - Institutions rebalance portfolios. - Everyone wants exposure to the biggest AI deal in history. But here is where most people are looking at it wrong. They’re asking: WHAT WILL ANTHROPIC TAKE MONEY FROM? I’m asking: WHERE WILL ALL THAT MONEY GO NEXT? That capital funds more compute: More compute means more chips. More chips = more data centers. More data centers = more electricity, grid infrastructure and raw materials. The chain is simple: ANTHROPIC → CHIPS → DATA CENTERS → POWER → COPPER That is where the opportunity starts. The first phase of the AI boom was about the models: ChatGPT. Claude. Gemini. The next phase is about the physical infrastructure needed to keep them running. Electricity. Power grids. Semiconductors. Data centers. Cooling. Copper. I told you to buy copper months ago. We already locked in BIG profits. And that wasn’t random: AI does not run on prompts. It runs on physical infrastructure. Now look at Nvidia: AI companies spend billions buying Nvidia chips. Nvidia makes billions from that demand. Now Nvidia is preparing to put as much as $10 BILLION BACK into Anthropic. AI money → Nvidia → Anthropic → more compute → more infrastructure A $100B raise does not stop at Anthropic. It works its way through the entire AI supply chain. The easy AI trade was buying the obvious names. The next trade is finding the bottlenecks BEFORE everyone else realizes they are bottlenecks. That is what I’m looking for now. That is where the next opportunity will be. Remember, I’ve been trading markets for over 15 years. I’m already watching where this capital is moving next. When I find the next opportunity worth taking, I’ll post it here like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.
0:38

🚨 SOMETHING VERY STRANGE IS HAPPENING Anthropic will go public in November at a $2T valuation. The biggest IPO in market history. And Wall Street is already lining up the buyers before it happens. I've been trading for more than 15 years and have never seen them build demand for an IPO this aggressively: Anthropic is preparing to raise $100 BILLION. Nvidia is lining up as much as $10 BILLION as an anchor investor. Read that again: The company selling the chips powering the AI boom is about to become one of the biggest buyers of the AI company going public. Before the public even gets in. Why? Because Anthropic does not just create demand for Anthropic. It pulls liquidity from everywhere else: - Retail sells stocks to chase the IPO. - Funds raise cash for allocation. - Institutions rebalance portfolios. - Everyone wants exposure to the biggest AI deal in history. But here is where most people are looking at it wrong. They’re asking: WHAT WILL ANTHROPIC TAKE MONEY FROM? I’m asking: WHERE WILL ALL THAT MONEY GO NEXT? That capital funds more compute: More compute means more chips. More chips = more data centers. More data centers = more electricity, grid infrastructure and raw materials. The chain is simple: ANTHROPIC → CHIPS → DATA CENTERS → POWER → COPPER That is where the opportunity starts. The first phase of the AI boom was about the models: ChatGPT. Claude. Gemini. The next phase is about the physical infrastructure needed to keep them running. Electricity. Power grids. Semiconductors. Data centers. Cooling. Copper. I told you to buy copper months ago. We already locked in BIG profits. And that wasn’t random: AI does not run on prompts. It runs on physical infrastructure. Now look at Nvidia: AI companies spend billions buying Nvidia chips. Nvidia makes billions from that demand. Now Nvidia is preparing to put as much as $10 BILLION BACK into Anthropic. AI money → Nvidia → Anthropic → more compute → more infrastructure A $100B raise does not stop at Anthropic. It works its way through the entire AI supply chain. The easy AI trade was buying the obvious names. The next trade is finding the bottlenecks BEFORE everyone else realizes they are bottlenecks. That is what I’m looking for now. That is where the next opportunity will be. Remember, I’ve been trading markets for over 15 years. I’m already watching where this capital is moving next. When I find the next opportunity worth taking, I’ll post it here like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

Alex Mason 👁△

123,890 просмотров • 24 дней назад

While gold dominates the headlines, our largest shareholder, Frank Giustra, believes one of the biggest investment opportunities may be unfolding in copper. After 45 years financing and building mining companies, Frank argues the world is facing a structural copper supply deficit. In his latest interview with Kitco NEWS, Frank discusses: - Why copper demand continues to accelerate - The supply gap the market still isn’t pricing in - How AI and data centres are becoming major copper consumers - The long-term implications for copper producers and developers - Why critical minerals are becoming increasingly strategic For investors focused on the next major commodity cycle, this is an interview worth watching: $CGNT.V $LBCMF
0:36

While gold dominates the headlines, our largest shareholder, Frank Giustra, believes one of the biggest investment opportunities may be unfolding in copper. After 45 years financing and building mining companies, Frank argues the world is facing a structural copper supply deficit. In his latest interview with Kitco NEWS, Frank discusses: - Why copper demand continues to accelerate - The supply gap the market still isn’t pricing in - How AI and data centres are becoming major copper consumers - The long-term implications for copper producers and developers - Why critical minerals are becoming increasingly strategic For investors focused on the next major commodity cycle, this is an interview worth watching: $CGNT.V $LBCMF

Copper Giant

13,234 просмотров • 3 месяцев назад

“The idea is that this is the eyes and ears for AI” In 2027 we’ll wake up to a world where everyone is wearing AI cameras on their face. Privacy will be extinct. And the biggest opportunity of the next decade will be giving it back.
0:22

“The idea is that this is the eyes and ears for AI” In 2027 we’ll wake up to a world where everyone is wearing AI cameras on their face. Privacy will be extinct. And the biggest opportunity of the next decade will be giving it back.

Will McEvoy

16,547 просмотров • 6 месяцев назад

🚨THIS IS EXACTLY WHAT I'M TRYING TO TELL Y'ALL 99% of retail doesn't understand the technology bottleneck the whole market is about to hit. Everyone thinks AI runs on compute. More GPUs, more power. wrong. The real wall is memory AND bandwidth... And this is EXACTLY where SpaceX stepped in... The entire backbone to the basically internet 2.0 is being built as you read this with the new Starlink V3 AI agents have to remember everything. every task, every step, every piece of context. That memory has to be stored AND moved. instantly. at a scale the world has never handled. Where does it all live? and how do you move it fast enough? The answer is a massive new layer of data infrastructure That's what the 100k V3 Starlinks are for. That's the backbone of internet 2.0 The nervous system linking AI memory across the planet and into orbit. Elon's building the physical layer of the entire AI age. You should thank God you're living in the same era with people like Musk. Follow me so you won't skip that generational opportunity.
0:25

🚨THIS IS EXACTLY WHAT I'M TRYING TO TELL Y'ALL 99% of retail doesn't understand the technology bottleneck the whole market is about to hit. Everyone thinks AI runs on compute. More GPUs, more power. wrong. The real wall is memory AND bandwidth... And this is EXACTLY where SpaceX stepped in... The entire backbone to the basically internet 2.0 is being built as you read this with the new Starlink V3 AI agents have to remember everything. every task, every step, every piece of context. That memory has to be stored AND moved. instantly. at a scale the world has never handled. Where does it all live? and how do you move it fast enough? The answer is a massive new layer of data infrastructure That's what the 100k V3 Starlinks are for. That's the backbone of internet 2.0 The nervous system linking AI memory across the planet and into orbit. Elon's building the physical layer of the entire AI age. You should thank God you're living in the same era with people like Musk. Follow me so you won't skip that generational opportunity.

Frogify

29,574 просмотров • 2 месяцев назад

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 просмотров • 3 месяцев назад

Ben Horowitz on what he expects in AI over the next 8 to 12 months. He thinks the infrastructure for AI is wrong, and it reminds him of the early days of cloud computing. Back then, everyone thought they could put their existing software on the other side of the wire. It didn't work, and everything got rebuilt: storage, networking, operating systems, virtualization, containers. This is why he expects the same with AI: 1. The workload. A database query is predictable. An AI query could run for a week, and the systems to manage those requests don't exist yet. 2. The chips. Nvidia's GPUs were built for video games. Ben calls them power-hungry and low-yield for what they do today. 3. The models. Training them means sucking down all the data on the internet, and he doubts that is where we end up. His conclusion: from the model on down, everything is going to change, and there will be a lot of opportunity in that. Full breakdown here:
1:40

Ben Horowitz on what he expects in AI over the next 8 to 12 months. He thinks the infrastructure for AI is wrong, and it reminds him of the early days of cloud computing. Back then, everyone thought they could put their existing software on the other side of the wire. It didn't work, and everything got rebuilt: storage, networking, operating systems, virtualization, containers. This is why he expects the same with AI: 1. The workload. A database query is predictable. An AI query could run for a week, and the systems to manage those requests don't exist yet. 2. The chips. Nvidia's GPUs were built for video games. Ben calls them power-hungry and low-yield for what they do today. 3. The models. Training them means sucking down all the data on the internet, and he doubts that is where we end up. His conclusion: from the model on down, everything is going to change, and there will be a lot of opportunity in that. Full breakdown here:

Guillermo Flor

105,977 просмотров • 9 дней назад

🚨 WARNING: SOMETHING VERY WIERD IS HAPPENING. The S&P 500 keeps printing new highs. Everyone is celebrating. Nobody is looking at what's actually holding it up. Semiconductor stocks are now worth $13.4 trillion. 19.7% of the entire index. Five years ago that number was closer to 5%. It quadrupled in a single cycle on a single bet. AI. And here's the number that should concern everyone. AI chips generate 50% of all semiconductor revenue. They represent less than 0.2% of total chip shipments. Half the revenue, a fraction of the volume, trillions in market cap sitting on top of a sliver of actual production. Three companies are carrying all of it. Nvidia. Broadcom. TSMC. The same names in every major institutional portfolio simultaneously. Everyone owns them, nobody can afford to be the first one out. And the way the money moves inside this system should sound familiar. Big players fund AI startups. AI startups spend that money on Big Tech infrastructure. Big Tech reports record AI revenue. Valuations justify the next round, the same dollar completes the loop and gets counted as growth every time. We watched this exact dynamic play out once before. 2000. A handful of tech companies carried the entire market. Valuations made no sense, narratives did the work that fundamentals couldn't. Then one company missed earnings, then another, then the S&P lost 50% and the Nasdaq lost 78%. The current setup is more concentrated, the valuations are more extreme. And one cut in AI spending is all it takes to start the unwind. I called the $16K Bitcoin bottom. I called the $126K top. Every major turn for 15 years public, before the move. The next call is already forming. Follow now and turn on notifications, you'll understand why that matters sooner than you think.
0:34

🚨 WARNING: SOMETHING VERY WIERD IS HAPPENING. The S&P 500 keeps printing new highs. Everyone is celebrating. Nobody is looking at what's actually holding it up. Semiconductor stocks are now worth $13.4 trillion. 19.7% of the entire index. Five years ago that number was closer to 5%. It quadrupled in a single cycle on a single bet. AI. And here's the number that should concern everyone. AI chips generate 50% of all semiconductor revenue. They represent less than 0.2% of total chip shipments. Half the revenue, a fraction of the volume, trillions in market cap sitting on top of a sliver of actual production. Three companies are carrying all of it. Nvidia. Broadcom. TSMC. The same names in every major institutional portfolio simultaneously. Everyone owns them, nobody can afford to be the first one out. And the way the money moves inside this system should sound familiar. Big players fund AI startups. AI startups spend that money on Big Tech infrastructure. Big Tech reports record AI revenue. Valuations justify the next round, the same dollar completes the loop and gets counted as growth every time. We watched this exact dynamic play out once before. 2000. A handful of tech companies carried the entire market. Valuations made no sense, narratives did the work that fundamentals couldn't. Then one company missed earnings, then another, then the S&P lost 50% and the Nasdaq lost 78%. The current setup is more concentrated, the valuations are more extreme. And one cut in AI spending is all it takes to start the unwind. I called the $16K Bitcoin bottom. I called the $126K top. Every major turn for 15 years public, before the move. The next call is already forming. Follow now and turn on notifications, you'll understand why that matters sooner than you think.

Hanzo ㊗️

18,356 просмотров • 3 месяцев назад

Nvidia $NVDA CEO, Jensen Huang, on the AI bubble danger: "The bubble will come someday, just not today. This is in the very beginning of the buildout. It is very unlikely in the next 5 years, and we will see with the 5-10 years. It depends on how fast we can build. The rate at which we can build the infrastructure is limited by physical things. Today, the industry could build faster and run faster but we don't have enough chips, memory, land, power, construction workers to build data centers...we are constrained in every single way and direction. That constraint is what holds the system back so it gives us plenty of time to go build out these infrastructures." Via Axios
1:31

Nvidia $NVDA CEO, Jensen Huang, on the AI bubble danger: "The bubble will come someday, just not today. This is in the very beginning of the buildout. It is very unlikely in the next 5 years, and we will see with the 5-10 years. It depends on how fast we can build. The rate at which we can build the infrastructure is limited by physical things. Today, the industry could build faster and run faster but we don't have enough chips, memory, land, power, construction workers to build data centers...we are constrained in every single way and direction. That constraint is what holds the system back so it gives us plenty of time to go build out these infrastructures." Via Axios

P Equity Research 📰

36,655 просмотров • 2 месяцев назад

NRED is not just a mining story. It is a power-demand and strategic-metals story. The U.S. is heading into record electricity demand as AI, data centers, electrification, and grid expansion accelerate. At the same time, copper supply is becoming more fragile. Reuters, citing S&P Global, has reported copper demand could rise from 28 million metric tons in 2025 to 42 million by 2040, with a potential 10 million metric ton annual supply gap if new supply does not come online. That is where NovaRed Mining ( $NRED ) enters the discussion. The company’s copper-gold exposure in British Columbia’s Quesnel Terrane becomes more relevant in a world where power infrastructure, defense resilience, and AI growth all need more copper. Not financial advice. Stocks can lose value.
0:29

NRED is not just a mining story. It is a power-demand and strategic-metals story. The U.S. is heading into record electricity demand as AI, data centers, electrification, and grid expansion accelerate. At the same time, copper supply is becoming more fragile. Reuters, citing S&P Global, has reported copper demand could rise from 28 million metric tons in 2025 to 42 million by 2040, with a potential 10 million metric ton annual supply gap if new supply does not come online. That is where NovaRed Mining ( $NRED ) enters the discussion. The company’s copper-gold exposure in British Columbia’s Quesnel Terrane becomes more relevant in a world where power infrastructure, defense resilience, and AI growth all need more copper. Not financial advice. Stocks can lose value.

Victor Renard

28,393,865 просмотров • 6 месяцев назад

Why wouldn’t China want more data centers built in the United States? Simple, the nation that leads in AI will lead the future, economically, technologically, and militarily. We’re already seeing it happen in real time as AI drives unprecedented productivity and margin expansion across every sector of the economy. While America debates permits, regulations, and protests over data centers, China is rapidly building power infrastructure and scaling compute capacity as fast as possible. This race is no longer theoretical. Whoever has the most compute, the best models, and the strongest infrastructure will shape the next era of global power.
1:51

Why wouldn’t China want more data centers built in the United States? Simple, the nation that leads in AI will lead the future, economically, technologically, and militarily. We’re already seeing it happen in real time as AI drives unprecedented productivity and margin expansion across every sector of the economy. While America debates permits, regulations, and protests over data centers, China is rapidly building power infrastructure and scaling compute capacity as fast as possible. This race is no longer theoretical. Whoever has the most compute, the best models, and the strongest infrastructure will shape the next era of global power.

Kevin O'Leary aka Mr. Wonderful

35,540 просмотров • 5 месяцев назад

On December 15, 2023, LME copper settled at $8,471 per tonne ($3.85 per pound). Today, May 25, 2026, the LME price is $13,660 per tonne, with U.S. copper trading (at a premium) at around $6.46 per pound. That’s a rise of over 60% in just two and a half years. The $15,000 per tonne threshold, needed to incentivise meaningful new supply, which I highlighted back in 2023, is now less than 10% away. Yet global copper supply is weaker today and costs are higher. Meanwhile, the demand for copper from the world’s two largest economies is unprecedented. In the US, potential Section 232 tariffs have put imported copper in the crosshairs, while in Asia we’re entering peak Chinese demand season. There are no semiconductors, no data centers, no electrification without copper… which is why the price of the world’s essential electrical conductor now trades in tandem with Nvidia and the AI boom. Add to the mix EVs, robotics, and defense demand, and copper’s future price direction is clear. In another two and a half years, $20,000 per tonne or $9+ per pound is realistic. Watch the LME warehouses closely and see where the metal actually moves… the world is finally waking up to the true value of copper.
0:28

On December 15, 2023, LME copper settled at $8,471 per tonne ($3.85 per pound). Today, May 25, 2026, the LME price is $13,660 per tonne, with U.S. copper trading (at a premium) at around $6.46 per pound. That’s a rise of over 60% in just two and a half years. The $15,000 per tonne threshold, needed to incentivise meaningful new supply, which I highlighted back in 2023, is now less than 10% away. Yet global copper supply is weaker today and costs are higher. Meanwhile, the demand for copper from the world’s two largest economies is unprecedented. In the US, potential Section 232 tariffs have put imported copper in the crosshairs, while in Asia we’re entering peak Chinese demand season. There are no semiconductors, no data centers, no electrification without copper… which is why the price of the world’s essential electrical conductor now trades in tandem with Nvidia and the AI boom. Add to the mix EVs, robotics, and defense demand, and copper’s future price direction is clear. In another two and a half years, $20,000 per tonne or $9+ per pound is realistic. Watch the LME warehouses closely and see where the metal actually moves… the world is finally waking up to the true value of copper.

Robert Friedland

56,851 просмотров • 4 месяцев назад

Gavin Baker: "which AI company actually survives? Google - already multi-trillion Microsoft, OpenAI, Meta chose open source - the only ones left is xAI and Anthropic - xAI + X will be worth over a trillion" this is him explaining what he actually invests in - and why Taiwan sells sand to Nvidia for $700 that Nvidia sells for $50,000 His words: what to invest in: "we're investing in things that increase the GPU utilization rate - because if you take a GPU from 30% utilized to 60%, you've doubled the output of that AI factory" what not to Invest in: "the models will basically go to zero - the data center is a commodity - energy might be short for a while but is also a commodity - the only thing in the whole stack with real value is the data moat and reinforcement learning" "the GPU has gotten 50 times faster in the last four years - that's a big part of why we're living through this AI revolution" he doesn't rent intelligence - he owns the thing it runs on bookmark & watch - see how below with local agent ↓
13:10

Gavin Baker: "which AI company actually survives? Google - already multi-trillion Microsoft, OpenAI, Meta chose open source - the only ones left is xAI and Anthropic - xAI + X will be worth over a trillion" this is him explaining what he actually invests in - and why Taiwan sells sand to Nvidia for $700 that Nvidia sells for $50,000 His words: what to invest in: "we're investing in things that increase the GPU utilization rate - because if you take a GPU from 30% utilized to 60%, you've doubled the output of that AI factory" what not to Invest in: "the models will basically go to zero - the data center is a commodity - energy might be short for a while but is also a commodity - the only thing in the whole stack with real value is the data moat and reinforcement learning" "the GPU has gotten 50 times faster in the last four years - that's a big part of why we're living through this AI revolution" he doesn't rent intelligence - he owns the thing it runs on bookmark & watch - see how below with local agent ↓

bodila

312,539 просмотров • 2 месяцев назад

Nvidia just spent $4 billion on a technology 99% of people have never heard of. But in 3 years, every AI data center on Earth will need it. And Nvidia just LOCKED UP the supply. Here's what happened: Nvidia invested $2 billion in Coherent and $2 billion in Lumentum. You probably never heard of these companies. They make photonics technology. Systems that transmit data using LIGHT instead of electricity. Sounds like sci-fi. But this is the most important infrastructure bet in AI right now. Here's the problem Nvidia just solved for itself: AI data centers are hitting a wall that has nothing to do with chips, energy, or money... Copper wiring is dying. Every data center on Earth moves data between GPUs using copper cables. But at the speeds AI now demands, copper physically cannot keep up. Signal degrades. Heat explodes. Power consumption skyrockets. Right now, 30% of the electricity in an AI data center is wasted just MOVING data from point A to point B. An MIT researcher said: "Copper's not going to cut it. It gets too hot. Too much power consumption and loss." Jensen Huang admitted it himself too: "We use copper as far as we can, about a meter or two. But where data centers are the size of a stadium, we need something else." That something else is photonics. Replacing copper with laser-powered fiber optics built directly into the chip. The numbers are insane: - 3.5x more power efficient - 10x better network reliability - Data moving at 102 terabits per second Wells Fargo estimates the photonics market will hit $10-12 billion by 2030. And Nvidia just bought privileged access to the two companies that make the advanced lasers every single one of these systems will need. This is the Nvidia playbook on repeat. They did this with CoreWeave. Invested $2 billion, locked up GPU capacity, created a dependent customer. They did this with memory suppliers. Secured HBM allocations years in advance while competitors scrambled. Now they're doing it with photonics. Invest early. Lock up supply. Make the entire ecosystem dependent on companies that are dependent on Nvidia. By the time competitors realize photonics is the bottleneck, Nvidia already OWNS the supply chain. Every data center, AI factory, and GPU cluster will need this technology to function at scale. Nvidia will become even more important.
1:36

Nvidia just spent $4 billion on a technology 99% of people have never heard of. But in 3 years, every AI data center on Earth will need it. And Nvidia just LOCKED UP the supply. Here's what happened: Nvidia invested $2 billion in Coherent and $2 billion in Lumentum. You probably never heard of these companies. They make photonics technology. Systems that transmit data using LIGHT instead of electricity. Sounds like sci-fi. But this is the most important infrastructure bet in AI right now. Here's the problem Nvidia just solved for itself: AI data centers are hitting a wall that has nothing to do with chips, energy, or money... Copper wiring is dying. Every data center on Earth moves data between GPUs using copper cables. But at the speeds AI now demands, copper physically cannot keep up. Signal degrades. Heat explodes. Power consumption skyrockets. Right now, 30% of the electricity in an AI data center is wasted just MOVING data from point A to point B. An MIT researcher said: "Copper's not going to cut it. It gets too hot. Too much power consumption and loss." Jensen Huang admitted it himself too: "We use copper as far as we can, about a meter or two. But where data centers are the size of a stadium, we need something else." That something else is photonics. Replacing copper with laser-powered fiber optics built directly into the chip. The numbers are insane: - 3.5x more power efficient - 10x better network reliability - Data moving at 102 terabits per second Wells Fargo estimates the photonics market will hit $10-12 billion by 2030. And Nvidia just bought privileged access to the two companies that make the advanced lasers every single one of these systems will need. This is the Nvidia playbook on repeat. They did this with CoreWeave. Invested $2 billion, locked up GPU capacity, created a dependent customer. They did this with memory suppliers. Secured HBM allocations years in advance while competitors scrambled. Now they're doing it with photonics. Invest early. Lock up supply. Make the entire ecosystem dependent on companies that are dependent on Nvidia. By the time competitors realize photonics is the bottleneck, Nvidia already OWNS the supply chain. Every data center, AI factory, and GPU cluster will need this technology to function at scale. Nvidia will become even more important.

Ricardo

641,253 просмотров • 7 месяцев назад

The man who won the Nobel Prize just told the world that AI is not the energy crisis, it is the cure for it. Everyone has been screaming about how much electricity AI consumes, the data centers, the training runs, the billions of queries every single day. Hassabis just said AI will extract 30 to 40 percent more efficiency out of national power grids, grids that, right now, operate at only 30 percent of their total capacity according to Stanford researchers. That means the grids we already built are massively underused, and AI is the key to unlocking what is already there. But that is the smallest part of what he is saying. He is saying AI will crack nuclear fusion, the energy source that has been 30 years away for the last 60 years and DeepMind is already working with Commonwealth Fusion in the US to help AI contain plasma inside fusion reactors. His personal mission is to use AI to discover a room-temperature superconductor, a material that would allow electricity to travel with zero loss, something physics has never been able to deliver. The implications of that alone would reshape the entire global economy overnight. He is also saying AI will design next-generation batteries and build the best climate modeling systems humanity has ever had, using them to figure out exactly where the planet is breaking down. Think about what this means, the thing everyone is blaming for the energy crisis is the same thing being bet on to end it forever.
0:51

The man who won the Nobel Prize just told the world that AI is not the energy crisis, it is the cure for it. Everyone has been screaming about how much electricity AI consumes, the data centers, the training runs, the billions of queries every single day. Hassabis just said AI will extract 30 to 40 percent more efficiency out of national power grids, grids that, right now, operate at only 30 percent of their total capacity according to Stanford researchers. That means the grids we already built are massively underused, and AI is the key to unlocking what is already there. But that is the smallest part of what he is saying. He is saying AI will crack nuclear fusion, the energy source that has been 30 years away for the last 60 years and DeepMind is already working with Commonwealth Fusion in the US to help AI contain plasma inside fusion reactors. His personal mission is to use AI to discover a room-temperature superconductor, a material that would allow electricity to travel with zero loss, something physics has never been able to deliver. The implications of that alone would reshape the entire global economy overnight. He is also saying AI will design next-generation batteries and build the best climate modeling systems humanity has ever had, using them to figure out exactly where the planet is breaking down. Think about what this means, the thing everyone is blaming for the energy crisis is the same thing being bet on to end it forever.

Milk Road AI

41,417 просмотров • 6 месяцев назад

The CEO of the world's largest asset manager just said something that should reframe how every investor thinks about the AI trade. Larry Fink, managing $11.5 trillion at BlackRock, stood at the Milken Institute Global Conference and said four words that matter, "We just don't have enough compute." "The United States is short power. We're short compute. We're short chips. And there's going to be shortages in all three and memory, four things. I actually believe a new asset class will be buying futures of compute." Think about what that means. Fink is predicting that compute becomes a tradable commodity like oil, like grain, like natural gas where investors buy forward contracts on future capacity because the shortage is so structural and so predictable that a derivatives market will emerge to price it. That is not a minor observation from a finance executive but rather the chairman of the most powerful capital allocator on the planet telling you that compute scarcity is a multi-year, investable megatrend. The data backs him up completely. Data centers will consume 70% of all memory chips produced globally in 2026. Advanced HBM production from Samsung, SK Hynix, and Micron is sold out through 2026 and into 2027 and a single AI server consumes 10-20x more memory than a conventional workload server. DRAM supply growth is running at just 16% annually while AI infrastructure demand is growing at 80%+. The chip crunch, the power crunch, and the compute crunch are not temporary dislocations, they are structural, and they will get worse before they get better. Fink also said something the bears keep getting wrong: "There is not an AI bubble. There is the opposite. We have supply shortages. Demand is growing much faster than anyone has ever anticipated." This is why the Milk Road Pro portfolio is built the way it is, long the companies producing and supplying the constrained resources: chips, memory, compute infrastructure, and power. Check out Milk Road Pro, link below to access our full thesis and plays.
0:23

The CEO of the world's largest asset manager just said something that should reframe how every investor thinks about the AI trade. Larry Fink, managing $11.5 trillion at BlackRock, stood at the Milken Institute Global Conference and said four words that matter, "We just don't have enough compute." "The United States is short power. We're short compute. We're short chips. And there's going to be shortages in all three and memory, four things. I actually believe a new asset class will be buying futures of compute." Think about what that means. Fink is predicting that compute becomes a tradable commodity like oil, like grain, like natural gas where investors buy forward contracts on future capacity because the shortage is so structural and so predictable that a derivatives market will emerge to price it. That is not a minor observation from a finance executive but rather the chairman of the most powerful capital allocator on the planet telling you that compute scarcity is a multi-year, investable megatrend. The data backs him up completely. Data centers will consume 70% of all memory chips produced globally in 2026. Advanced HBM production from Samsung, SK Hynix, and Micron is sold out through 2026 and into 2027 and a single AI server consumes 10-20x more memory than a conventional workload server. DRAM supply growth is running at just 16% annually while AI infrastructure demand is growing at 80%+. The chip crunch, the power crunch, and the compute crunch are not temporary dislocations, they are structural, and they will get worse before they get better. Fink also said something the bears keep getting wrong: "There is not an AI bubble. There is the opposite. We have supply shortages. Demand is growing much faster than anyone has ever anticipated." This is why the Milk Road Pro portfolio is built the way it is, long the companies producing and supplying the constrained resources: chips, memory, compute infrastructure, and power. Check out Milk Road Pro, link below to access our full thesis and plays.

Milk Road AI

420,033 просмотров • 5 месяцев назад