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We need data centers in space Former Google CEO Eric Schmidt: “We’re running out of electricity. I testified in congress we need 92 gigawatts more power, the average nuclear power plant is 1.5 gigawatts, you see the problem”

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🇺🇸 FORMER GOOGLE CEO: DATA CENTERS ARE ABOUT TO EAT ALL THE ENERGY Eric Schmidt says we’re about to have a massive energy crisis — because future data centers are gonna need so much juice, they could suck up 99% of all electricity generation. He’s talking 10-gigawatt data centers (FYI: that’s like building 10 nuclear power plants just to keep your TikToks and ChatGPT chats running). Fusion energy sounds cool but won’t be ready in time, so Schmidt says we’ll need everything — gas, nukes, renewables — and fast. Problem is, fixing the energy grid takes forever (like, 18 years forever), and Schmidt basically says we need to smash the red tape or we’re toast. Source: Eric Schmidt speech in Congress
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🇺🇸 FORMER GOOGLE CEO: DATA CENTERS ARE ABOUT TO EAT ALL THE ENERGY Eric Schmidt says we’re about to have a massive energy crisis — because future data centers are gonna need so much juice, they could suck up 99% of all electricity generation. He’s talking 10-gigawatt data centers (FYI: that’s like building 10 nuclear power plants just to keep your TikToks and ChatGPT chats running). Fusion energy sounds cool but won’t be ready in time, so Schmidt says we’ll need everything — gas, nukes, renewables — and fast. Problem is, fixing the energy grid takes forever (like, 18 years forever), and Schmidt basically says we need to smash the red tape or we’re toast. Source: Eric Schmidt speech in Congress

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Eric Schmidt: “America needs 80 gigawatts in the next 3-5 years” The real demand from hyperscalers for AI data centers is otherworldly, they need 1 to 10 gigawatts EACH The real economics are being most felt in the infrastructure buildout powering the next wave of AI
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Eric Schmidt: “America needs 80 gigawatts in the next 3-5 years” The real demand from hyperscalers for AI data centers is otherworldly, they need 1 to 10 gigawatts EACH The real economics are being most felt in the infrastructure buildout powering the next wave of AI

Small Cap Snipa

39,856 просмотров • 5 месяцев назад

$NVDA CEO Jensen Huang said it clearly AI data centers need gigawatts of power. Power availability decides where they get built & GPUs do nothing if the grid cannot feed them. Value is moving to the companies that build & control power for AI.
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$NVDA CEO Jensen Huang said it clearly AI data centers need gigawatts of power. Power availability decides where they get built & GPUs do nothing if the grid cannot feed them. Value is moving to the companies that build & control power for AI.

Shay Boloor

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ELON MUSK: "China's growth in electricity is tremendous. Solar is the biggest thing in China. I believe China's production capacity on solar is 1500 gigawatts a year, and they're deploying over 1000 gigawatts a year of solar. US power usage on average is 500 gigawatts. China, just in solar can provide steady state power, and batteries can do half of the US electricity output per year just with solar."
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ELON MUSK: "China's growth in electricity is tremendous. Solar is the biggest thing in China. I believe China's production capacity on solar is 1500 gigawatts a year, and they're deploying over 1000 gigawatts a year of solar. US power usage on average is 500 gigawatts. China, just in solar can provide steady state power, and batteries can do half of the US electricity output per year just with solar."

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ELON MUSK: "We see a path to putting 100 gigawatts per year of solar-powered AI satellite into orbit. And having this be actually the lowest cost way to power and operate AI at a very large scale For reference, the United States consumes roughly 460 gigawatts on average per year. Because the average power load in the US is 460 gigawatts"
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ELON MUSK: "We see a path to putting 100 gigawatts per year of solar-powered AI satellite into orbit. And having this be actually the lowest cost way to power and operate AI at a very large scale For reference, the United States consumes roughly 460 gigawatts on average per year. Because the average power load in the US is 460 gigawatts"

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Saying "NO AI data centers" won't end in victory. They'll just build them anyways. If you truly want to make a difference, you need to say, "No data centers, UNLESS..." Turn it into a negotiation instead of a war, so we can fight over what really matters. No data centers UNLESS they're not draining our energy. In fact, you could say, "you want 10 gigawatts of power? Ok, YOU pay for it. And because we’re allowing you to do it, you have to produce 15 gigawatts of power and give the excess to the grid." It's a win-win and YOU control the terms.
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Saying "NO AI data centers" won't end in victory. They'll just build them anyways. If you truly want to make a difference, you need to say, "No data centers, UNLESS..." Turn it into a negotiation instead of a war, so we can fight over what really matters. No data centers UNLESS they're not draining our energy. In fact, you could say, "you want 10 gigawatts of power? Ok, YOU pay for it. And because we’re allowing you to do it, you have to produce 15 gigawatts of power and give the excess to the grid." It's a win-win and YOU control the terms.

Glenn Beck

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Ex-Google CEO Eric Schmidt tells UK PM Keir Starmer that building more AI data centers and investing in the energy infrastructure to power them will paradoxically solve energy issues much quicker
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At the WEF, Larry Fink ironically destroys net-zero when it comes to the power needed for AI: "By 2030 [data centers] need 30 gigawatts.. Where's that power gonna come from? To power these data companies you can't have intermittent power like wind & solar"
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At the WEF, Larry Fink ironically destroys net-zero when it comes to the power needed for AI: "By 2030 [data centers] need 30 gigawatts.. Where's that power gonna come from? To power these data companies you can't have intermittent power like wind & solar"

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Former Google $GOOG CEO Schmidt told Congress that Al could eventually use 99% of the world's electricity AI currently uses 3% of global energy — and it's growing faster than we can build new power plants.
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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.
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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.

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CleanSpark $CLSK Targets Gigawatts for AI Data Centers CEO Matt Schultz's strategy: secure gigawatts under contract first. "Priority one is power and land because that is as scarce as it comes." Meta and peers seek 500-1,000 megawatt sites—full gigawatt deployments. CleanSpark built 33 datacenters in 5 years. Reliability drives new power access daily: paying bills on time, honoring commitments, and curtailing during emergencies like South Georgia's hurricane to restore hospital service. AI datacenters need 50-100 gigawatts by 2030, per Goldman Sachs. Companies securing power now control the bottleneck as Meta, Microsoft, and Google accelerate.

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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.
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Shay Boloor

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Google just proposed a new AI data center in Van Buren Township—2.7 gigawatts. That’s right: 2.7 gigawatts, or the equivalent of 2 million homes worth of energy. To power that with solar? 12,000 football fields in solar panels. Why am I the only candidate for governor pushing back? This is absolutely unbelievable.
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Google just proposed a new AI data center in Van Buren Township—2.7 gigawatts. That’s right: 2.7 gigawatts, or the equivalent of 2 million homes worth of energy. To power that with solar? 12,000 football fields in solar panels. Why am I the only candidate for governor pushing back? This is absolutely unbelievable.

Tom Leonard

29,007 просмотров • 4 месяцев назад

$HUT CEO Asher Genoot: “We have over 8 gigawatts in our development pipeline.” Jensen Huang has priced future AI data centers at $80B to $100B per gigawatt. Do the math…
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$HUT CEO Asher Genoot: “We have over 8 gigawatts in our development pipeline.” Jensen Huang has priced future AI data centers at $80B to $100B per gigawatt. Do the math…

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Tony Robbins bought a power plant in West Virginia before AI took off👀 “I bought a power plant in West Virginia because I saw what was happening with AI coming and the need for data centers… That investment's return is ridiculous”
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