Загрузка видео...

Не удалось загрузить видео

На главную

Follow the bottleneck. Chips → data centers → grid equipment → power → gas turbines Grid equipment grew 1%/yr for decades. Then data centers showed up as an entirely new buyer. Gas turbine makers shipped 5–7 GW/yr. Last year? Orders hit 100 GW. Max Cook on how he follows...

coatuemgmt's profile picture

COATUE

24,662 subscribers

402,976 просмотров • 3 месяцев назад •via X (Twitter)

Наука и технологииФинансы
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

$AMZN CEO: “There is a power shortage in the US and the world.” For new data centers, the most optimistic grid connection wait time is 3 years as power transformer lead times stretch to 12-24 months. So, most of the developers and hyperscalers are resorting to natural gas as it’s the fastest option. But even then, permitting is still an issue and risks delays and cancellations as is the case for $NBIS New Jersey data center. Power is now a bigger bottleneck for scaling AI than it’s ever been.
1:07

$AMZN CEO: “There is a power shortage in the US and the world.” For new data centers, the most optimistic grid connection wait time is 3 years as power transformer lead times stretch to 12-24 months. So, most of the developers and hyperscalers are resorting to natural gas as it’s the fastest option. But even then, permitting is still an issue and risks delays and cancellations as is the case for $NBIS New Jersey data center. Power is now a bigger bottleneck for scaling AI than it’s ever been.

Oguz Erkan

293,900 просмотров • 3 месяцев назад

Elon Musk reveals the real limiting factor for AI is not chips anymore, it’s electricity AI chip production is growing exponentially, but global electricity supply is only increasing 3–4% per year. We’re reaching the point where we produce more chips than we can actually turn on Power is the ultimate bottleneck in 2026. Data centers now face up to 7-year waits for grid connections, leaving many GPUs sitting idle Energy is the new oil of the AI race
0:29

Elon Musk reveals the real limiting factor for AI is not chips anymore, it’s electricity AI chip production is growing exponentially, but global electricity supply is only increasing 3–4% per year. We’re reaching the point where we produce more chips than we can actually turn on Power is the ultimate bottleneck in 2026. Data centers now face up to 7-year waits for grid connections, leaving many GPUs sitting idle Energy is the new oil of the AI race

X Freeze

33,904 просмотров • 4 месяцев назад

If climate change is an emergency, why build water/power hungry data centres? This Victorian AI Hub will guzzle more grid power than it generates onsite battery & turbines just prop up the shared system (with gas backups). Data centres could hit 13% of Australia’s electricity by 2040, spiking prices, straining water supplies (hello desalination). Who pays? 🫵🏼🤑
1:55

If climate change is an emergency, why build water/power hungry data centres? This Victorian AI Hub will guzzle more grid power than it generates onsite battery & turbines just prop up the shared system (with gas backups). Data centres could hit 13% of Australia’s electricity by 2040, spiking prices, straining water supplies (hello desalination). Who pays? 🫵🏼🤑

katy 🌸

17,615 просмотров • 2 месяцев назад

🇺🇸🇨🇳 The U.S. has 4,000 data centers, while China has 365. But 24 months ago, AI training required 100 megawatts. Today the minimum is 1 gigawatt. The U.S., Canadian, and Mexican grids can't deliver that. China's can. The AI race was never about who built more, but who built bigger, and right now, America's own power grid is the bottleneck.
5:07

🇺🇸🇨🇳 The U.S. has 4,000 data centers, while China has 365. But 24 months ago, AI training required 100 megawatts. Today the minimum is 1 gigawatt. The U.S., Canadian, and Mexican grids can't deliver that. China's can. The AI race was never about who built more, but who built bigger, and right now, America's own power grid is the bottleneck.

Mario Nawfal

664,822 просмотров • 3 месяцев назад

🔥 David Sacks Says Trump’s New AI Pledge Could Lower Electric Bills for Americans “The President has said that he's committed to not allowing residential rates to go up as a result of data centers … What you're going to see is that it could actually bring down consumer prices because … when these data centers set up their own power and connect to the grid, they can give back the excess to the grid.”
2:06

🔥 David Sacks Says Trump’s New AI Pledge Could Lower Electric Bills for Americans “The President has said that he's committed to not allowing residential rates to go up as a result of data centers … What you're going to see is that it could actually bring down consumer prices because … when these data centers set up their own power and connect to the grid, they can give back the excess to the grid.”

Chief Nerd

41,519 просмотров • 5 месяцев назад

China installed 400 GW of new power last year, over 350 gigawatts of solar and wind. The U.S.? Just 63. We talk a big game about leading on AI, chips, and reshoring manufacturing. But where’s the electricity going to come from? Some say natural gas can replace renewables. But the largest turbine manufacturer, GE Vernova, is already sold out until after Trump's term. Meanwhile: 📌 China = 400 GW 📌 U.S. = 60 GW 📌 GE Vernova's global gas turbine output = 20 GW… for the entire globe! If we gut clean energy incentives now, we don’t just fall behind, we're cooked. You can't grow your economy and run AI data centers on backorders and broken promises. We’re demanding more energy than ever. And we’re about to constrain the resources that are actually delivering it. Full Video:
1:38

China installed 400 GW of new power last year, over 350 gigawatts of solar and wind. The U.S.? Just 63. We talk a big game about leading on AI, chips, and reshoring manufacturing. But where’s the electricity going to come from? Some say natural gas can replace renewables. But the largest turbine manufacturer, GE Vernova, is already sold out until after Trump's term. Meanwhile: 📌 China = 400 GW 📌 U.S. = 60 GW 📌 GE Vernova's global gas turbine output = 20 GW… for the entire globe! If we gut clean energy incentives now, we don’t just fall behind, we're cooked. You can't grow your economy and run AI data centers on backorders and broken promises. We’re demanding more energy than ever. And we’re about to constrain the resources that are actually delivering it. Full Video:

Doug Lewin

75,449 просмотров • 1 год назад

A local utility company in Illinois has plans to help lower residents electrical bills They will be requiring new data centers and planned data centers to sign 10 year contracts saying they will be responsible for paying for upgrade costs and electricity usage costs “That means any new data centers would be on the hook for power upgrades and any energy they plan to use, even if the data center ends up not getting built or if they don't use as much power as planned or if they close. So if they use the power that they're applying for, then they'll pay their fair share of the cost of maintaining and building our grid through their rates”
2:23

A local utility company in Illinois has plans to help lower residents electrical bills They will be requiring new data centers and planned data centers to sign 10 year contracts saying they will be responsible for paying for upgrade costs and electricity usage costs “That means any new data centers would be on the hook for power upgrades and any energy they plan to use, even if the data center ends up not getting built or if they don't use as much power as planned or if they close. So if they use the power that they're applying for, then they'll pay their fair share of the cost of maintaining and building our grid through their rates”

Wall Street Apes

29,410 просмотров • 4 месяцев назад

CNBC: How GE Vernova builds the massive gas turbines powering the AI data center boom > GE Vernova’s $GEV order book is full until 2029, with orders going as far out as 2031. > Hyperscalers like Amazon, Google, Microsoft and Oracle are lining up to buy the company’s gas turbines to help power AI data centers. > Executives from nearly every major hyperscaler have walked the floor of the factory, according to a person familiar with the visits, who asked not to be named because the details are not public. > The turbines are massive, at 31 feet tall and weighing 280 tons. One turbine can power roughly half a million homes. > Microsoft just bought seven of them to power its data center in Texas. At 2.7 gigawatts, it’s enough electricity to power about 3 million homes. > "About 20% of our gas power order book is going to a data center, artificial intelligence-type of application." - Koziner, Chief Commercial and Operations Officer of GE Vernova. > One turbine can cost more than $250 million, according to industry estimates. The price has soared, up 300% in the last 3 years, according to analysts at Melius.
3:44

CNBC: How GE Vernova builds the massive gas turbines powering the AI data center boom > GE Vernova’s $GEV order book is full until 2029, with orders going as far out as 2031. > Hyperscalers like Amazon, Google, Microsoft and Oracle are lining up to buy the company’s gas turbines to help power AI data centers. > Executives from nearly every major hyperscaler have walked the floor of the factory, according to a person familiar with the visits, who asked not to be named because the details are not public. > The turbines are massive, at 31 feet tall and weighing 280 tons. One turbine can power roughly half a million homes. > Microsoft just bought seven of them to power its data center in Texas. At 2.7 gigawatts, it’s enough electricity to power about 3 million homes. > "About 20% of our gas power order book is going to a data center, artificial intelligence-type of application." - Koziner, Chief Commercial and Operations Officer of GE Vernova. > One turbine can cost more than $250 million, according to industry estimates. The price has soared, up 300% in the last 3 years, according to analysts at Melius.

P Equity Research 📰

54,678 просмотров • 1 месяц назад

China is eating our lunch on AI power. Period. You can dream about data centers in space and cities on Mars, and I love the vision, Elon executes, no question. But here on Earth, right now, we have a brutal reality problem. The grid is tapped out, demand for AI data centers is exploding, and we are nowhere close to keeping up. China added roughly 500 gigawatts of power last year. We added excuses. Nuclear matters, but it's 10 to 15 years away and AI does not wait. That is why my money is going into stranded natural gas, combined cycle turbines, and massive land tied directly to permits, power, fiber, water, and air rights all in one place. Whoever controls reliable, scalable power wins, and if we don't fix the grid fast, we lose.
3:39

China is eating our lunch on AI power. Period. You can dream about data centers in space and cities on Mars, and I love the vision, Elon executes, no question. But here on Earth, right now, we have a brutal reality problem. The grid is tapped out, demand for AI data centers is exploding, and we are nowhere close to keeping up. China added roughly 500 gigawatts of power last year. We added excuses. Nuclear matters, but it's 10 to 15 years away and AI does not wait. That is why my money is going into stranded natural gas, combined cycle turbines, and massive land tied directly to permits, power, fiber, water, and air rights all in one place. Whoever controls reliable, scalable power wins, and if we don't fix the grid fast, we lose.

Kevin O'Leary aka Mr. Wonderful

51,438 просмотров • 6 месяцев назад

Elon Musk just personally bought a $1B power company as an individual, not through Tesla or XAl. It only surfaced through an SEC filing. Here's why it matters, the real bottleneck in Al isn't chips, it's power. A grid connection can take 5 years; Nvidia ships GPUs in months. So instead of waiting in the utility line, Elon bought the thing that makes the line, a fleet of mobile turbines he can park anywhere. Founders wait for permission. Operators delete the bottleneck. That's the whole lesson.
1:59

Elon Musk just personally bought a $1B power company as an individual, not through Tesla or XAl. It only surfaced through an SEC filing. Here's why it matters, the real bottleneck in Al isn't chips, it's power. A grid connection can take 5 years; Nvidia ships GPUs in months. So instead of waiting in the utility line, Elon bought the thing that makes the line, a fleet of mobile turbines he can park anywhere. Founders wait for permission. Operators delete the bottleneck. That's the whole lesson.

BILLIONAIRE UNIVERSITY®

94,679 просмотров • 19 дней назад

I’m neck-deep in building data centers right now, and let me tell you something uncomfortable: China is crushing us in power generation for AI. Not chips. Power. When the Supreme Leader wants more capacity, he builds a coal plant. Simple. No 5-year regulatory nightmare. If America wants to lead in AI, we need power. Without it, we’re running in place while China hits the gas.
0:55

I’m neck-deep in building data centers right now, and let me tell you something uncomfortable: China is crushing us in power generation for AI. Not chips. Power. When the Supreme Leader wants more capacity, he builds a coal plant. Simple. No 5-year regulatory nightmare. If America wants to lead in AI, we need power. Without it, we’re running in place while China hits the gas.

Kevin O'Leary aka Mr. Wonderful

489,234 просмотров • 9 месяцев назад

Most people don't realize the biggest bottleneck for AI isn't chips anymore, it's energy. And it's not even close. Greg Osuri, founder of Akash Network: "We have about $2 trillion in sovereign commitments, and most of that money is to develop energy infrastructure. But AI moves in months. Energy doesn't." "To get a transformer today, 4 to 7 years. Samsung has $150 billion in pending orders." "A nuclear reactor from permit to power takes about 15 years. Gas turbines? Same problem. Energy doesn't move as fast as data centers do." This is the dark horse that could slow down the entire AI boom.
5:19

Most people don't realize the biggest bottleneck for AI isn't chips anymore, it's energy. And it's not even close. Greg Osuri, founder of Akash Network: "We have about $2 trillion in sovereign commitments, and most of that money is to develop energy infrastructure. But AI moves in months. Energy doesn't." "To get a transformer today, 4 to 7 years. Samsung has $150 billion in pending orders." "A nuclear reactor from permit to power takes about 15 years. Gas turbines? Same problem. Energy doesn't move as fast as data centers do." This is the dark horse that could slow down the entire AI boom.

The Rollup

10,576 просмотров • 5 месяцев назад

Dylan Patel just mapped out the most important investment theme in AI infrastructure (Save this). "In about two years, solar plus battery will be cheaper than gas." Every new NVIDIA Blackwell rack pulls 120 kilowatts, Rubin Ultra rack pulls 600 kilowatts and the next generation hits a megawatt. The US grid cannot keep up, interconnection queues now run five years in many markets so the entire industry is being forced to solve power from first principles. The solar thesis is already happening. BloombergNEF's 2026 LCOE report, covering 800+ financed projects across 50+ markets puts solar plus 4 hour battery storage at $57 per megawatt-hour. Combined cycle gas turbines hit $102 per megawatt hour, the highest on record, up 16% year over year. In California and parts of Texas, solar plus storage is already cheaper than gas for data center power today and solar panel costs are expected to drop another 30% by 2035. Getting power from the grid into the form chips actually require is an entire industry unto itself and NVIDIA just rewrote the rules. The 800 volt DC transition is the most important infrastructure shift that's happening right now. Today's data centers run on 48 volt DC power delivery, a single next-generation GPU pulls over 2,500 watts and at 48 volts, the current required to power a megawatt rack would melt the copper wiring. The investment thesis breaks into four layers and the first layer is power semiconductors, specifically silicon carbide and gallium nitride. At 800 volts, traditional silicon based IGBTs hit their physical limits. SiC and GaN devices are the mandatory replacement. Infineon estimates $175,000 of semiconductor content per megawatt of AI rack power, versus almost nothing today and by 2030, power semiconductor content per AI cabinet grows from $15,000 to $115,000+. The names here are Infineon ($IFNNY), ON Semiconductor ($ON), Wolfspeed ($WOLF), Navitas ($NVTS), and STMicroelectronics ($STM). The second layer is power management and conversion. Vertiv ($VRT) is NVIDIA's lead architectural collaborator for the 800V transition, building the hardware that converts grid AC to 800V DC and the DC to DC power shelves for ultra dense racks. Eaton ($ETN) and Monolithic Power Systems ($MPWR) round out this layer. The third layer is grid to site infrastructure, GE Vernova ($GEV) builds the heavy electrical equipment that connects utility power to the data center campus. Orders are running at twice the rate of shipments, the classic leading indicator of sustained multi year revenue growth. The fourth layer is behind the meter power generation like your bloom energy because grid interconnection queues run five years, hyperscalers are bypassing the grid entirely, building dedicated gas, solar and battery systems on site. Make sure to follow me Melvin for more opportunities across the AI supply chain.
5:06

Dylan Patel just mapped out the most important investment theme in AI infrastructure (Save this). "In about two years, solar plus battery will be cheaper than gas." Every new NVIDIA Blackwell rack pulls 120 kilowatts, Rubin Ultra rack pulls 600 kilowatts and the next generation hits a megawatt. The US grid cannot keep up, interconnection queues now run five years in many markets so the entire industry is being forced to solve power from first principles. The solar thesis is already happening. BloombergNEF's 2026 LCOE report, covering 800+ financed projects across 50+ markets puts solar plus 4 hour battery storage at $57 per megawatt-hour. Combined cycle gas turbines hit $102 per megawatt hour, the highest on record, up 16% year over year. In California and parts of Texas, solar plus storage is already cheaper than gas for data center power today and solar panel costs are expected to drop another 30% by 2035. Getting power from the grid into the form chips actually require is an entire industry unto itself and NVIDIA just rewrote the rules. The 800 volt DC transition is the most important infrastructure shift that's happening right now. Today's data centers run on 48 volt DC power delivery, a single next-generation GPU pulls over 2,500 watts and at 48 volts, the current required to power a megawatt rack would melt the copper wiring. The investment thesis breaks into four layers and the first layer is power semiconductors, specifically silicon carbide and gallium nitride. At 800 volts, traditional silicon based IGBTs hit their physical limits. SiC and GaN devices are the mandatory replacement. Infineon estimates $175,000 of semiconductor content per megawatt of AI rack power, versus almost nothing today and by 2030, power semiconductor content per AI cabinet grows from $15,000 to $115,000+. The names here are Infineon ($IFNNY), ON Semiconductor ($ON), Wolfspeed ($WOLF), Navitas ($NVTS), and STMicroelectronics ($STM). The second layer is power management and conversion. Vertiv ($VRT) is NVIDIA's lead architectural collaborator for the 800V transition, building the hardware that converts grid AC to 800V DC and the DC to DC power shelves for ultra dense racks. Eaton ($ETN) and Monolithic Power Systems ($MPWR) round out this layer. The third layer is grid to site infrastructure, GE Vernova ($GEV) builds the heavy electrical equipment that connects utility power to the data center campus. Orders are running at twice the rate of shipments, the classic leading indicator of sustained multi year revenue growth. The fourth layer is behind the meter power generation like your bloom energy because grid interconnection queues run five years, hyperscalers are bypassing the grid entirely, building dedicated gas, solar and battery systems on site. Make sure to follow me Melvin for more opportunities across the AI supply chain.

Melvin

107,518 просмотров • 1 месяц назад

🚨ALERT: 50% of Data Centers will NEVER connect to the grid. Half of the data centers announced in the last 24 months will NEVER connect to the grid. Kevin O’Leary said it. The data proves it. While everyone’s chasing “paper capacity,” $CIFR and $IREN are sitting on EXECUTED grid connections that can’t be replicated. Here’s why they’re untouchable: 266 GW of power projects canceled in 2025 alone. That’s 2.4x the cancellations from 2024. Why? Because the U.S. grid is facing a structural deficit that nobody wants to talk about. • Data centers need 18-36 months to build • Grid connections take 5-7 YEARS (sometimes 12) • Interconnection queues in PJM and ERCOT now average 7 years • Average interconnection cost in MISO: $753,116 per MW Translation: You can announce a data center tomorrow. But you CAN’T connect it to power until 2032. The math doesn’t work. The timeline doesn’t work. The physics don’t work. $CIFR - The Fixed-Price Power Moat: Cipher control one of the lowest-cost power portfolios in North America. > Power cost: $0.027/kWh (fixed, long-term PPAs) > Debt: $0 > Portfolio: 2.2 GW across Texas But here’s what everyone’s missing: Their 1-gigawatt Colchis site has a FULLY EXECUTED Direct Connect Agreement with American Electric Power. Not “in the queue.” Not “under study.” EXECUTED. Energization: 2028. While competitors are stuck waiting 7+ years for interconnection approvals, $CIFR already has a Tier 1 grid connection locked in. And they just signed: • $5.5 billion, 15-year lease with AWS for 300 MW • 10-year hosting deal with Google/Fluidstack for 168 MW That’s $8.5 billion in contracted lease payments for AI infrastructure. $IREN - The Microsoft Validation: $IREN didn’t just secure power. They secured the ONLY thing that matters: a hyperscaler willing to pre-pay billions. November 2025: $9.7 billion AI Cloud contract with Microsoft. Let me repeat that. Microsoft PRE-PAID for capacity that doesn’t exist yet. Deal structure: • 200 MW of liquid-cooled AI capacity • $1.94 billion annual recurring revenue (once online) • 20% prepayment to fund $5.8 billion GPU purchase from Dell • Four “Horizon” data centers at their 750 MW Childress campus But the real alpha? Their 2.91 GW portfolio of GRID-CONNECTED power. Not speculative. Not “in the queue.” Connected. Energized. Operating. > Sweetwater 1: 1.4 GW (energization accelerated to April 26) > Childress: 750 MW (operating) > Prince George: 160 MW hydro (23k GPUs for AI) $IREN is scaling to $3.4 billion in AI Cloud ARR by end of 2026 using only 16% of their total power capacity. The Peer Comparison Nobody’s Talking About: Everyone’s excited about $RIOT, $MARA, $CORZ, and $WULF. Here’s the problem: $RIOT: 1.7 GW portfolio, mostly Bitcoin-focused. 25 MW HPC lease with AMD ($311M over 10 years). That’s 1/30th the size of IREN’s Microsoft deal. $MARA: Building “behind-the-meter” natural gas generation to BYPASS the grid entirely. Smart strategy, but they’re starting from scratch. 1.8 GW capacity, mostly mining. $CORZ: $10B+ contract with CoreWeave sounds massive. But they’re CONVERTING old mining infrastructure. Not purpose-built for AI. Currently unprofitable. $WULF: 750 MW at Lake Mariner. Zero-carbon hydro/nuclear. Clean energy story is strong. But only 72.5 MW of HPC capacity by Q2 2025. Meanwhile: • $CIFR has 2.2 GW with executed grid agreements and $8.5B in hyperscaler contracts • $IREN has 2.91 GW of energized capacity and a $9.7B Microsoft deal The Cooling Bottleneck: Secured power means NOTHING without secured cooling. November 2025: CyrusOne data center in Illinois went down for 10 hours because ONE chiller failed. This facility handles TRILLIONS in CME trading volume. Energy, agriculture, crypto derivatives markets frozen globally. Why? Because AI racks now consume 600 kW of power (enough to power 500 homes). A single rack failure creates catastrophic heat buildup. $IREN’s solution: Liquid-cooled infrastructure at all Horizon facilities. $CIFR’s solution: Turnkey air-and-liquid cooling delivery for AWS. Hyperscalers aren’t paying billions for “power connections.” They’re paying for THERMAL RELIABILITY. The Numbers That Matter: > PJM capacity prices: 10x increase from 2024 to 2025 (extreme scarcity signal) > Interconnection costs in Louisiana/Missouri: $900,000+ per MW > $64 billion in U.S. data center projects blocked or delayed in 2024-2025 > 25+ major data center projects canceled in 2025 alone The grid is saturated. The timeline is broken. The infrastructure doesn’t exist. But $CIFR and $IREN? They already own the infrastructure. They already have the grid connections. They already have the hyperscaler contracts. The Bottom Line: > AI demand is doubling every 90 days. > Grid capacity takes 5-7 years to build. > You can’t close that gap with announcements. You close it with EXECUTED agreements and ENERGIZED megawatts. $CIFR: $0.027/kWh power, $8.5B in contracts, 1 GW Tier 1 grid connection $IREN: $9.7B Microsoft deal, 2.91 GW energized portfolio, $3.4B ARR target by 2026. While half the industry fights over interconnection queues, these two are already plugged in. The power crunch isn’t coming. It’s here. And the only winners will be the ones who secured their megawatts BEFORE the grid broke. Bullish $CIFR and $IREN. Note: This is NOT financial advice.
1:28

🚨ALERT: 50% of Data Centers will NEVER connect to the grid. Half of the data centers announced in the last 24 months will NEVER connect to the grid. Kevin O’Leary said it. The data proves it. While everyone’s chasing “paper capacity,” $CIFR and $IREN are sitting on EXECUTED grid connections that can’t be replicated. Here’s why they’re untouchable: 266 GW of power projects canceled in 2025 alone. That’s 2.4x the cancellations from 2024. Why? Because the U.S. grid is facing a structural deficit that nobody wants to talk about. • Data centers need 18-36 months to build • Grid connections take 5-7 YEARS (sometimes 12) • Interconnection queues in PJM and ERCOT now average 7 years • Average interconnection cost in MISO: $753,116 per MW Translation: You can announce a data center tomorrow. But you CAN’T connect it to power until 2032. The math doesn’t work. The timeline doesn’t work. The physics don’t work. $CIFR - The Fixed-Price Power Moat: Cipher control one of the lowest-cost power portfolios in North America. > Power cost: $0.027/kWh (fixed, long-term PPAs) > Debt: $0 > Portfolio: 2.2 GW across Texas But here’s what everyone’s missing: Their 1-gigawatt Colchis site has a FULLY EXECUTED Direct Connect Agreement with American Electric Power. Not “in the queue.” Not “under study.” EXECUTED. Energization: 2028. While competitors are stuck waiting 7+ years for interconnection approvals, $CIFR already has a Tier 1 grid connection locked in. And they just signed: • $5.5 billion, 15-year lease with AWS for 300 MW • 10-year hosting deal with Google/Fluidstack for 168 MW That’s $8.5 billion in contracted lease payments for AI infrastructure. $IREN - The Microsoft Validation: $IREN didn’t just secure power. They secured the ONLY thing that matters: a hyperscaler willing to pre-pay billions. November 2025: $9.7 billion AI Cloud contract with Microsoft. Let me repeat that. Microsoft PRE-PAID for capacity that doesn’t exist yet. Deal structure: • 200 MW of liquid-cooled AI capacity • $1.94 billion annual recurring revenue (once online) • 20% prepayment to fund $5.8 billion GPU purchase from Dell • Four “Horizon” data centers at their 750 MW Childress campus But the real alpha? Their 2.91 GW portfolio of GRID-CONNECTED power. Not speculative. Not “in the queue.” Connected. Energized. Operating. > Sweetwater 1: 1.4 GW (energization accelerated to April 26) > Childress: 750 MW (operating) > Prince George: 160 MW hydro (23k GPUs for AI) $IREN is scaling to $3.4 billion in AI Cloud ARR by end of 2026 using only 16% of their total power capacity. The Peer Comparison Nobody’s Talking About: Everyone’s excited about $RIOT, $MARA, $CORZ, and $WULF. Here’s the problem: $RIOT: 1.7 GW portfolio, mostly Bitcoin-focused. 25 MW HPC lease with AMD ($311M over 10 years). That’s 1/30th the size of IREN’s Microsoft deal. $MARA: Building “behind-the-meter” natural gas generation to BYPASS the grid entirely. Smart strategy, but they’re starting from scratch. 1.8 GW capacity, mostly mining. $CORZ: $10B+ contract with CoreWeave sounds massive. But they’re CONVERTING old mining infrastructure. Not purpose-built for AI. Currently unprofitable. $WULF: 750 MW at Lake Mariner. Zero-carbon hydro/nuclear. Clean energy story is strong. But only 72.5 MW of HPC capacity by Q2 2025. Meanwhile: • $CIFR has 2.2 GW with executed grid agreements and $8.5B in hyperscaler contracts • $IREN has 2.91 GW of energized capacity and a $9.7B Microsoft deal The Cooling Bottleneck: Secured power means NOTHING without secured cooling. November 2025: CyrusOne data center in Illinois went down for 10 hours because ONE chiller failed. This facility handles TRILLIONS in CME trading volume. Energy, agriculture, crypto derivatives markets frozen globally. Why? Because AI racks now consume 600 kW of power (enough to power 500 homes). A single rack failure creates catastrophic heat buildup. $IREN’s solution: Liquid-cooled infrastructure at all Horizon facilities. $CIFR’s solution: Turnkey air-and-liquid cooling delivery for AWS. Hyperscalers aren’t paying billions for “power connections.” They’re paying for THERMAL RELIABILITY. The Numbers That Matter: > PJM capacity prices: 10x increase from 2024 to 2025 (extreme scarcity signal) > Interconnection costs in Louisiana/Missouri: $900,000+ per MW > $64 billion in U.S. data center projects blocked or delayed in 2024-2025 > 25+ major data center projects canceled in 2025 alone The grid is saturated. The timeline is broken. The infrastructure doesn’t exist. But $CIFR and $IREN? They already own the infrastructure. They already have the grid connections. They already have the hyperscaler contracts. The Bottom Line: > AI demand is doubling every 90 days. > Grid capacity takes 5-7 years to build. > You can’t close that gap with announcements. You close it with EXECUTED agreements and ENERGIZED megawatts. $CIFR: $0.027/kWh power, $8.5B in contracts, 1 GW Tier 1 grid connection $IREN: $9.7B Microsoft deal, 2.91 GW energized portfolio, $3.4B ARR target by 2026. While half the industry fights over interconnection queues, these two are already plugged in. The power crunch isn’t coming. It’s here. And the only winners will be the ones who secured their megawatts BEFORE the grid broke. Bullish $CIFR and $IREN. Note: This is NOT financial advice.

Black Panther Capital

347,528 просмотров • 6 месяцев назад

Power is 5-7% of data center revenues. Some geothermal and nuclear stocks are trading at 50-70x earnings to supply it. Jim Chanos on iConnections: the AI halo has reached its furthest extension into alternative energy. The bull case is that data centers need power and there's a shortage. Chanos's counter: the US doesn't have a power shortage. It has a permitting bottleneck and turbine delivery delays. Both resolve in 2-3 years. When the permitting clears, the scarcity narrative collapses. And even if these companies win a power contract - power is 5-7% of a data center's revenues. Companies at 30-40x EBITDA for potentially supplying a fraction of a 5-7% cost line are priced for a constraint that is transient. Full breakdown of the alternative energy overhang: Source: iConnections -
2:54

Power is 5-7% of data center revenues. Some geothermal and nuclear stocks are trading at 50-70x earnings to supply it. Jim Chanos on iConnections: the AI halo has reached its furthest extension into alternative energy. The bull case is that data centers need power and there's a shortage. Chanos's counter: the US doesn't have a power shortage. It has a permitting bottleneck and turbine delivery delays. Both resolve in 2-3 years. When the permitting clears, the scarcity narrative collapses. And even if these companies win a power contract - power is 5-7% of a data center's revenues. Companies at 30-40x EBITDA for potentially supplying a fraction of a 5-7% cost line are priced for a constraint that is transient. Full breakdown of the alternative energy overhang: Source: iConnections -

Podcast Alpha

75,076 просмотров • 1 месяц назад

Texas built the largest wind fleet in America, more than 30,000 turbines, costing billions in subsidies, sold as clean, limitless energy. But in February 2021, reality hit. A historic cold outbreak froze the turbines. Power output across the state collapsed within hours. The grid buckled. Millions lost electricity. Almost 1,000 people died. And while politicians blamed gas lines and unexpected weather, the data pointed to a grid that had grown dangerously dependent on wind. The promise was clean energy. The reality was blackouts, Texans freezing to death, and a grid one cold snap away from collapse.
0:45

Texas built the largest wind fleet in America, more than 30,000 turbines, costing billions in subsidies, sold as clean, limitless energy. But in February 2021, reality hit. A historic cold outbreak froze the turbines. Power output across the state collapsed within hours. The grid buckled. Millions lost electricity. Almost 1,000 people died. And while politicians blamed gas lines and unexpected weather, the data pointed to a grid that had grown dangerously dependent on wind. The promise was clean energy. The reality was blackouts, Texans freezing to death, and a grid one cold snap away from collapse.

Electroverse

54,605 просмотров • 6 месяцев назад

In the next 15 years, data centers are expected to add an additional $160 billion to grid costs in the US Estimate say electricity rates for average households will spike by as much as 70% Data centers are projected to triple their share of US electricity demand in the next few years The main driver is the explosive growth of data centers built by Big Tech companies like Amazon, Meta, Microsoft, Google, OpenAI and more to power artificial intelligence Places like Northern Virginia already has over 200 data centers with massive new ones planned. Utilities are striking secret proprietary deals with Big Tech companies. These are hidden behind NDAs that shift much of the infrastructure costs onto regular residential customers Just in the PJM energy market of 13 states covering 65 million people, data centers were responsible for 63% of last year’s record 800% spike in capacity prices (This is INSANE) Residential customers in places like Virginia and Louisiana are being forced to subsidize billions in new power plants and grid upgrades for data centers. An Examples of this is in Louisiana, Meta’s data center deal leaves the public potentially on the hook for half or more of a $3–4 billion power plant Again, without major policy changes, average household electricity bills could rise by up to 70% over the next 15 years due to data center demand. There is only one real way we can stop this, we must create a separate customer class for data centers Maryland and Oregon have already passed laws doing this Forces data centers to pay for the specific infrastructure they need instead of spreading the costs to everyone else. More states need to do the same Ban secret sweetheart deals Require full public disclosure of all contracts between utilities and Big Tech Prohibit deals where data centers pay below the actual cost of service Make data centers pay the full cost of new power plants and grid upgrades Change regulations so utilities cannot socialize the cost of data-center-driven infrastructure to residential and small business ratepayers This needs to be done immediately
13:33

In the next 15 years, data centers are expected to add an additional $160 billion to grid costs in the US Estimate say electricity rates for average households will spike by as much as 70% Data centers are projected to triple their share of US electricity demand in the next few years The main driver is the explosive growth of data centers built by Big Tech companies like Amazon, Meta, Microsoft, Google, OpenAI and more to power artificial intelligence Places like Northern Virginia already has over 200 data centers with massive new ones planned. Utilities are striking secret proprietary deals with Big Tech companies. These are hidden behind NDAs that shift much of the infrastructure costs onto regular residential customers Just in the PJM energy market of 13 states covering 65 million people, data centers were responsible for 63% of last year’s record 800% spike in capacity prices (This is INSANE) Residential customers in places like Virginia and Louisiana are being forced to subsidize billions in new power plants and grid upgrades for data centers. An Examples of this is in Louisiana, Meta’s data center deal leaves the public potentially on the hook for half or more of a $3–4 billion power plant Again, without major policy changes, average household electricity bills could rise by up to 70% over the next 15 years due to data center demand. There is only one real way we can stop this, we must create a separate customer class for data centers Maryland and Oregon have already passed laws doing this Forces data centers to pay for the specific infrastructure they need instead of spreading the costs to everyone else. More states need to do the same Ban secret sweetheart deals Require full public disclosure of all contracts between utilities and Big Tech Prohibit deals where data centers pay below the actual cost of service Make data centers pay the full cost of new power plants and grid upgrades Change regulations so utilities cannot socialize the cost of data-center-driven infrastructure to residential and small business ratepayers This needs to be done immediately

Wall Street Apes

57,720 просмотров • 2 месяцев назад

They are putting DATA CENTERS in the ocean now. Panthalassa, a startup from Portland, just raised $140 MILLION. what they do: build floating platforms that sit out at sea and run AI. no power grid needed. the ocean waves make all the electricity. the seawater keeps the chips cool. How it works: big floating balls bob up and down with the waves. that motion makes power. the power runs the AI chips inside. backed by PETER THIEL. company now worth almost $1 BILLION. land is running out of room and power for AI. so the next move is simple. go to the sea.
0:26

They are putting DATA CENTERS in the ocean now. Panthalassa, a startup from Portland, just raised $140 MILLION. what they do: build floating platforms that sit out at sea and run AI. no power grid needed. the ocean waves make all the electricity. the seawater keeps the chips cool. How it works: big floating balls bob up and down with the waves. that motion makes power. the power runs the AI chips inside. backed by PETER THIEL. company now worth almost $1 BILLION. land is running out of room and power for AI. so the next move is simple. go to the sea.

shirish

1,645,416 просмотров • 1 месяц назад

Why did Leopold Aschenbrenner’s fund initiate a new ~$44M position in $TE last quarter? T1 Energy is trying to become a scaled U.S. solar manufacturing platform and already has a 5 GW solar module facility in Dallas called G1 but the bigger opportunity is its planned solar cell facility in Austin called G2. If G2 comes online then T1 could move into domestic cell production right as AI data centers, reshoring and grid demand are pulling on U.S. power supply.
0:56

Why did Leopold Aschenbrenner’s fund initiate a new ~$44M position in $TE last quarter? T1 Energy is trying to become a scaled U.S. solar manufacturing platform and already has a 5 GW solar module facility in Dallas called G1 but the bigger opportunity is its planned solar cell facility in Austin called G2. If G2 comes online then T1 could move into domestic cell production right as AI data centers, reshoring and grid demand are pulling on U.S. power supply.

Shay Boloor

791,867 просмотров • 2 месяцев назад

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale
0:47

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale

Small Cap Snipa

116,034 просмотров • 7 месяцев назад