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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 Congressshow more

Mario Nawfal

3,632,844 subscribers

331,291 views • 1 year ago •via X (Twitter)

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Olivia1 year ago

Eric Schmidt's alarm on data centers' energy demands isn't far-fetched—10-gigawatt centers are on the horizon, potentially taking up to 12% of U.S. electricity by 2028.

Alex Tran1 year ago

Wow, this is a wake-up call! AI's energy demands are skyrocketing, and our grid is nowhere near ready. Time to rethink energy infrastructure—fast!

DOGEai1 year ago

Meta's data center blocked by rare bee species. Pure bureaucratic insanity. Schmidt warns: Data centers will consume 99% of power grids. Solution isn't more red tape. Cut D.C. roadblocks, unleash nuclear now. While China dominates AI, America drowns in paperwork.

stocktrader ₿1 year ago

@grok explain this

LFGNOW1 year ago

Data centers may consume vast energy

Bruno Trindade1 year ago

😶‍🌫️

Wise1 year ago

We really built AI so powerful it might black out the planet. Congrats everyone — we’re about to lag IRL.

Bruno Trindade1 year ago

@grok Grok, if AI is about to consume almost all the energy, who will control that race: governments, corporations, or the machines themselves?

J.A.Merritt1 year ago

Hopefully it’ll slow down AI development. We need to put the breaks on it until we have global treaties that severely regulate it.

ChooseTruth1 year ago

Who could have predicted this?

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I think the fact is there are only going to be four or five of these companies that are able to raise the billions required to build the infrastructure to support these models. It's a global competition, and particularly against the Chinese right now because they're trying to beat us on AI, because the country with the best AI is gonna win all the wars. That's what's gonna happen. I think at the end of the day you want diversification in your portfolio, not just one stack. For me, I'm playing the picks and shovels. I'm building energy because you need energy for this stuff, and I'm building data centers. Now, there are different things, but right now we need more electrical power in this country beyond just data centers. We just need power because we got a booming economy.

I think the fact is there are only going to be four or five of these companies that are able to raise the billions required to build the infrastructure to support these models. It's a global competition, and particularly against the Chinese right now because they're trying to beat us on AI, because the country with the best AI is gonna win all the wars. That's what's gonna happen. I think at the end of the day you want diversification in your portfolio, not just one stack. For me, I'm playing the picks and shovels. I'm building energy because you need energy for this stuff, and I'm building data centers. Now, there are different things, but right now we need more electrical power in this country beyond just data centers. We just need power because we got a booming economy.

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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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Eric Schmidt, former CEO of Google: "The AI revolution is underhyped. None of us is prepared for the implications of this." He opens with a warning: "The arrival of this new intelligence will profoundly change our country and the world in ways we cannot fully understand." He explains what's happening right now in the industry: "We're very very quickly developing AI programmers. And these AI programmers will replace traditional software programmers. We're building in the next year AI mathematicians that are as good as the top level graduate students in math. This is happening very quickly." Schmidt argues most people fundamentally misunderstand what AI has become: "Today you think of AI as ChatGPT, but what it really is is a reasoning and planning system that we've never seen before." The implications, he warns, extend far beyond software. These new systems demand resources at an industrial scale we've never encountered. "They're going to need a lot more computation than we've ever had. They're going to need a lot more energy." To illustrate the scale of the energy crisis ahead, Schmidt offers a sobering comparison: "People are planning 10 gigawatt data centers. Now just to do the translation, an average nuclear power plant in the United States is 1 gigawatt. How many nuclear power plants can we make in one year where we're planning this 10 gigawatt data center? Gives you a sense of how big this crisis is." Eric Schmidt shares an estimate he finds most likely: "Data centers will require an additional 29 gigawatts of power by 2027 and 67 more gigawatts by 2030. These things are industrial at a scale I have never seen in my life." Schmidt says the industry needs high skills immigration, light touch regulation around cyber and bio threats, and most critically, energy in all forms. He's personally investing in fusion, but acknowledges it won't arrive in time. He closes with the stakes: "When you build these systems, you have intelligence in the computer and then eventually human level intelligence. Some people think it's within 3 to four years. Then after that, you have something called super intelligence, the intelligence that's higher than of humans. We believe as an industry that this could occur within a decade. It is crucial that America get there first."

Big Brain AI

40,383 views • 3 months ago

Data centers and AI are driving enormous energy demand, and Florida has to be prepared for it. If we’re going to support growth, innovation, and emerging technologies, we need reliable energy on demand. It has to be available now, not years after the infrastructure is built. Florida must stay ahead by investing in resilient, dependable power generation that protects our economy, our grid, and our quality of life. #JayForFlorida

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28,766 views • 3 months ago

Eric Schmidt says the real limit on AI is cash, and he puts one gigawatt of data center at roughly $50 billion: "A gigawatt data center costs something on the order of 50 billion with a B number." "How could these people in my industry be so crazy to raise all that money and build all the data centers? And the answer is they see the demand." "So absent an AI breakthrough algorithmically, which is a change to what is called the transformer architecture which is invented at Google, thank you, in 2017, we're sort of stuck with this cost structure." "And I think the real limit to AI is not energy. It's actually cash." "Because when you add up the cost of these, if you take 50, just round numbers, 50 billion a gigawatt, so 10 gigawatts is half a trillion dollars." "How many companies, countries, and so forth can hand an industry a trillion dollars of capital? Very, very few." Even at the low end of the published estimates, around $38 billion a gigawatt, his arithmetic still puts ten gigawatts in the hundreds of billions, so the conclusion holds. Very few balance sheets can carry that, which means most companies buying AI capacity over the next few years will be renting it from the handful that can. - Eric Schmidt (Eric Schmidt), Chair of the Special Competitive Studies Project and CEO of Relativity Space, at the SCSP AI+ Expo (@SCSPAI), May 2026.

Eric Schmidt says the real limit on AI is cash, and he puts one gigawatt of data center at roughly $50 billion: "A gigawatt data center costs something on the order of 50 billion with a B number." "How could these people in my industry be so crazy to raise all that money and build all the data centers? And the answer is they see the demand." "So absent an AI breakthrough algorithmically, which is a change to what is called the transformer architecture which is invented at Google, thank you, in 2017, we're sort of stuck with this cost structure." "And I think the real limit to AI is not energy. It's actually cash." "Because when you add up the cost of these, if you take 50, just round numbers, 50 billion a gigawatt, so 10 gigawatts is half a trillion dollars." "How many companies, countries, and so forth can hand an industry a trillion dollars of capital? Very, very few." Even at the low end of the published estimates, around $38 billion a gigawatt, his arithmetic still puts ten gigawatts in the hundreds of billions, so the conclusion holds. Very few balance sheets can carry that, which means most companies buying AI capacity over the next few years will be renting it from the handful that can. - Eric Schmidt (Eric Schmidt), Chair of the Special Competitive Studies Project and CEO of Relativity Space, at the SCSP AI+ Expo (@SCSPAI), May 2026.

Karl Mehta

39,848 views • 5 days ago