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The energy sector has been getting a boost from AI, with an extra 94 gigawatts forecast to be needed by 2030 to power all these data centers. But one long-time utilities analyst is calling out the boom as an infrastructure overbuild. Andy DeVries, head of investment grade credit and... show more

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Jeremy Grantham has a long history of calling bubbles. On this episode of the Odd Lots podcast, GMO's co-founder and chief investment strategist tells Joe Weisenthal and Tracy Alloway what he thinks about Mag 7's multibillion-dollar investment into AI and the signs he watches out for to spot when a bubble might burst. Listen at or watch at

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Bloomberg

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Founder and CIO of Safkhet Capital, Fahmi Quadir, earned the nickname "the Assassin" by short-selling Wirecard AG and Valeant. On this episode of the Odd Lots podcast, Quadir tells Joe Weisenthal and Tracy Alloway about her role in the current "golden age of fraud" and why, for the first time ever, she is going long with a focus on Korea that has nothing to do with the AI boom. Listen at or watch at

Founder and CIO of Safkhet Capital, Fahmi Quadir, earned the nickname "the Assassin" by short-selling Wirecard AG and Valeant. On this episode of the Odd Lots podcast, Quadir tells Joe Weisenthal and Tracy Alloway about her role in the current "golden age of fraud" and why, for the first time ever, she is going long with a focus on Korea that has nothing to do with the AI boom. Listen at or watch at

Bloomberg

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Kevin O’Leary: “I think the new play is energy” How do you supply enough energy to advance the economy and all this AI demand? With the AI buildout requiring 100+ gigawatts of power and compute, it’s clear there will be massive winners across energy, data centers, and hardware

Kevin O’Leary: “I think the new play is energy” How do you supply enough energy to advance the economy and all this AI demand? With the AI buildout requiring 100+ gigawatts of power and compute, it’s clear there will be massive winners across energy, data centers, and hardware

Small Cap Snipa

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This young woman from Georgia, explains to us what’s happening right now in her community. Georgia Power is expanding power lines to support a massive new data center, and they’re using eminent domain to take homes and land from families — including her childhood home behind her. She explains that homeowners have no choice as the utility seizes property by force. This isn’t isolated to Georgia. The explosive growth of data centers is happening across at least 38 states, driven by the massive AI boom as tech giants like Microsoft, Amazon, Google, and Meta build out enormous computing infrastructure. In several states — including Georgia — utilities are using eminent domain to expand high-voltage power lines needed to feed these power-hungry facilities. Have you seen or heard about eminent domain being used for data centers or power lines in your area?

This young woman from Georgia, explains to us what’s happening right now in her community. Georgia Power is expanding power lines to support a massive new data center, and they’re using eminent domain to take homes and land from families — including her childhood home behind her. She explains that homeowners have no choice as the utility seizes property by force. This isn’t isolated to Georgia. The explosive growth of data centers is happening across at least 38 states, driven by the massive AI boom as tech giants like Microsoft, Amazon, Google, and Meta build out enormous computing infrastructure. In several states — including Georgia — utilities are using eminent domain to expand high-voltage power lines needed to feed these power-hungry facilities. Have you seen or heard about eminent domain being used for data centers or power lines in your area?

End3of6Days9 (Helen) 🇺🇸

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Right now, AI's use in investing is a mixed bag: People are excited about its potential, but several firms are still trying to figure out its value. Man Group's CTO Gary Collier and Head of Data and AI Tushara Fernando join Tracy Alloway and Joe Weisenthal to talk about how one of the largest publicly-traded hedge funds in the world is actually implementing AI into its work. Listen at or watch at

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AOC: And what are they asking for now? Endless energy. These companies are so desperate to profit from the AI boom that they are racing to construct thousands of giant AI data centers, jacking up utility costs for everyday Americans to pay for them. These data centers power thousands of high-intensity computer chips that are processing constantly and require massive amounts of energy to operate. Just one hyperscale data center consumes the same amount of energy in one second as 100,000 households. Because of this massive energy use, power and water utility companies must build multibillion-dollar infrastructure to keep up with the demand.

AOC: And what are they asking for now? Endless energy. These companies are so desperate to profit from the AI boom that they are racing to construct thousands of giant AI data centers, jacking up utility costs for everyday Americans to pay for them. These data centers power thousands of high-intensity computer chips that are processing constantly and require massive amounts of energy to operate. Just one hyperscale data center consumes the same amount of energy in one second as 100,000 households. Because of this massive energy use, power and water utility companies must build multibillion-dollar infrastructure to keep up with the demand.

Acyn

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Consumers are already feeling the effects of the closure of the Strait of Hormuz with energy prices surging around the world. But what if the crisis is signaling a longer-term global power shift? Daniel Yergin tells Joe Weisenthal and Tracy Alloway on the Odd Lots podcast that a "different world" will emerge, regardless of the war's ultimate outcome

Consumers are already feeling the effects of the closure of the Strait of Hormuz with energy prices surging around the world. But what if the crisis is signaling a longer-term global power shift? Daniel Yergin tells Joe Weisenthal and Tracy Alloway on the Odd Lots podcast that a "different world" will emerge, regardless of the war's ultimate outcome

Bloomberg

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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

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.Howard Lutnick at the Energy and Innovation Summit, where President Donald J. Trump will attend later today: "You need the natural gas or coal infrastructure in order to provide these massive AI data centers the power that they need... and Pennsylvania, as you all know, has that power."

.Howard Lutnick at the Energy and Innovation Summit, where President Donald J. Trump will attend later today: "You need the natural gas or coal infrastructure in order to provide these massive AI data centers the power that they need... and Pennsylvania, as you all know, has that power."

Rapid Response 47

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MARA expands its AI infrastructure pipeline by entering into an agreement to acquire Long Ridge Energy & Power, which owns, among other assets, a highly efficient 505 MW nameplate CCGT power plant and over 1,600 contiguous acres in one of the world’s largest AI and data center infrastructure markets. Read the full release:

MARA expands its AI infrastructure pipeline by entering into an agreement to acquire Long Ridge Energy & Power, which owns, among other assets, a highly efficient 505 MW nameplate CCGT power plant and over 1,600 contiguous acres in one of the world’s largest AI and data center infrastructure markets. Read the full release:

MARA

165,200 görüntüleme • 3 ay önce

On this episode of the Odd Lots podcast, New York Times CEO and President, Meredith Kopit Levien, tells Joe Weisenthal and Tracy Alloway what she thinks is good use of generative AI in newsgathering and what the media company still relies on humans to do that cannot be replaced by AI. Listen at or watch at

On this episode of the Odd Lots podcast, New York Times CEO and President, Meredith Kopit Levien, tells Joe Weisenthal and Tracy Alloway what she thinks is good use of generative AI in newsgathering and what the media company still relies on humans to do that cannot be replaced by AI. Listen at or watch at

Bloomberg

39,215 görüntüleme • 3 gün önce

"The limiting factor for AI deployment is fundamentally electrical power." That was Elon Musk in a conversation with Larry Fink during his first-ever appearance at Davos. And it's the most honest thing anyone in Big Tech has said in a while. Forget the hype about superintelligence and robots. Forget the promises about productivity gains that CFOs still can't measure. The bottleneck is power. And that bottleneck is very real. Here's why & how to position yourself to make the most out of this: We're producing more chips than we can turn on. AI chip production is increasing exponentially. US electricity generation is growing 3-4% annually. The math doesn't work. US data center power demand is expected to hit 75.8 gigawatts in 2026, up from 61.8 gigawatts in 2025. By 2030, it could reach 134 gigawatts. The largest US grid operator, PJM, expects to add 31 gigawatts of data center load over the next five years. But only 28 gigawatts of new generation capacity is planned. The deficit is already here. Residential electricity rates near data centers have jumped as much as 267% compared to five years ago. Regular Americans are subsidizing Silicon Valley's power consumption. Whether AI delivers on its big promises or not, the electricity bills are coming due right now. Elon made another point that deserves attention: China is solving the energy problem while America talks about AI miracles. He noted China's solar deployment is "tremendous." And that's an understatement. I verified the numbers. They're insane: China installed 275 gigawatts of solar capacity in the first 11 months of 2025. That's more than the ENTIRE installed solar capacity of the United States. In May 2025 alone, China added 93 gigawatts. Roughly 100 panels every second. For the first time in history, a single country surpassed 1,000 gigawatts of total solar capacity. China added more solar in one month than America has built in its entire history... But this ISN'T about climate policy. It's about strategic positioning. China understands something Wall Street is ignoring: whoever controls the energy infrastructure controls the next era of computing. While American investors chase the latest AI stock, China is building the power grid that will actually run the technology. My take: The data center buildout will fall short of expectations. Big Tech wants trillions in infrastructure. The grid can't deliver it. Not at this pace. Not with 3-4% annual electricity growth against exponential demand projections. Something has to give. Either the buildout slows dramatically, or electricity prices spike to levels that destroy the economics of the entire AI story. The AI trade has been built on the assumption that infrastructure will materialize to meet demand. That assumption is looking increasingly shaky. BUT the companies selling power to Big Tech win either way. Scarcity means pricing power. Utilities don't need AI to cure cancer. They just need hyperscalers to keep signing power agreements. And they are. Microsoft, Amazon, Meta, and Alphabet spent ~$350B in 2025 on data centers. That money flows to utilities and grid infrastructure whether AI changes the world or not. US utilities are forecasting a ~6% jump in capital expenditures to $228B in 2026. Cumulative utility capex is expected to surpass $1.1T through 2029. Dominion Energy is investing $50B through 2029, projecting 5-7% annual earnings growth. Entergy plans $41B between 2026 and 2029, targeting more than 8% compound annual earnings growth. These aren't speculative bets on AI changing everything... They're regulated utilities with contracted demand and predictable cash flows. So beware the AI story. The productivity miracle remains unproven. The physical constraints are becoming impossible to ignore. But the picks-and-shovels play? THAT'S where the smart money is looking. The hyperscalers have to pay their electricity bills. I'd rather own the companies collecting them.

"The limiting factor for AI deployment is fundamentally electrical power." That was Elon Musk in a conversation with Larry Fink during his first-ever appearance at Davos. And it's the most honest thing anyone in Big Tech has said in a while. Forget the hype about superintelligence and robots. Forget the promises about productivity gains that CFOs still can't measure. The bottleneck is power. And that bottleneck is very real. Here's why & how to position yourself to make the most out of this: We're producing more chips than we can turn on. AI chip production is increasing exponentially. US electricity generation is growing 3-4% annually. The math doesn't work. US data center power demand is expected to hit 75.8 gigawatts in 2026, up from 61.8 gigawatts in 2025. By 2030, it could reach 134 gigawatts. The largest US grid operator, PJM, expects to add 31 gigawatts of data center load over the next five years. But only 28 gigawatts of new generation capacity is planned. The deficit is already here. Residential electricity rates near data centers have jumped as much as 267% compared to five years ago. Regular Americans are subsidizing Silicon Valley's power consumption. Whether AI delivers on its big promises or not, the electricity bills are coming due right now. Elon made another point that deserves attention: China is solving the energy problem while America talks about AI miracles. He noted China's solar deployment is "tremendous." And that's an understatement. I verified the numbers. They're insane: China installed 275 gigawatts of solar capacity in the first 11 months of 2025. That's more than the ENTIRE installed solar capacity of the United States. In May 2025 alone, China added 93 gigawatts. Roughly 100 panels every second. For the first time in history, a single country surpassed 1,000 gigawatts of total solar capacity. China added more solar in one month than America has built in its entire history... But this ISN'T about climate policy. It's about strategic positioning. China understands something Wall Street is ignoring: whoever controls the energy infrastructure controls the next era of computing. While American investors chase the latest AI stock, China is building the power grid that will actually run the technology. My take: The data center buildout will fall short of expectations. Big Tech wants trillions in infrastructure. The grid can't deliver it. Not at this pace. Not with 3-4% annual electricity growth against exponential demand projections. Something has to give. Either the buildout slows dramatically, or electricity prices spike to levels that destroy the economics of the entire AI story. The AI trade has been built on the assumption that infrastructure will materialize to meet demand. That assumption is looking increasingly shaky. BUT the companies selling power to Big Tech win either way. Scarcity means pricing power. Utilities don't need AI to cure cancer. They just need hyperscalers to keep signing power agreements. And they are. Microsoft, Amazon, Meta, and Alphabet spent ~$350B in 2025 on data centers. That money flows to utilities and grid infrastructure whether AI changes the world or not. US utilities are forecasting a ~6% jump in capital expenditures to $228B in 2026. Cumulative utility capex is expected to surpass $1.1T through 2029. Dominion Energy is investing $50B through 2029, projecting 5-7% annual earnings growth. Entergy plans $41B between 2026 and 2029, targeting more than 8% compound annual earnings growth. These aren't speculative bets on AI changing everything... They're regulated utilities with contracted demand and predictable cash flows. So beware the AI story. The productivity miracle remains unproven. The physical constraints are becoming impossible to ignore. But the picks-and-shovels play? THAT'S where the smart money is looking. The hyperscalers have to pay their electricity bills. I'd rather own the companies collecting them.

George Noble

23,931 görüntüleme • 6 ay önce

New technologies can be really disruptive to the labor market, but eventually new jobs emerge and things come back into balance. But could it be different this time with the rise of AI? Alex Imas joins Tracy Alloway and Joe Weisenthal on the Odd Lots podcast to discuss why the sheer speed of AI development could make it different from new technologies that came before it

New technologies can be really disruptive to the labor market, but eventually new jobs emerge and things come back into balance. But could it be different this time with the rise of AI? Alex Imas joins Tracy Alloway and Joe Weisenthal on the Odd Lots podcast to discuss why the sheer speed of AI development could make it different from new technologies that came before it

Bloomberg

30,165 görüntüleme • 3 ay önce

$The Strait of Hormuz closure is a stress test for every system dependent on it including AI. Data centers run on uninterrupted power. When energy fractures, so does the digital economy. But AI is also one of our most powerful tools to fight back: rerouting supply chains, optimising grids, directing capital. Energy security is now an AI conversation. #ADIPEC2026 will be a key forum for addressing system‑level resilience and advancing the infrastructure needed to withstand future shocks. #ADIPEC #ADNOC #EnergySystems #Resilience #Investment #ArtificialIntelligence$

The Strait of Hormuz closure is a stress test for every system dependent on it including AI. Data centers run on uninterrupted power. When energy fractures, so does the digital economy. But AI is also one of our most powerful tools to fight back: rerouting supply chains, optimising grids, directing capital. Energy security is now an AI conversation. #ADIPEC2026 will be a key forum for addressing system‑level resilience and advancing the infrastructure needed to withstand future shocks. #ADIPEC #ADNOC #EnergySystems #Resilience #Investment #ArtificialIntelligence

Helen Yu

10,885 görüntüleme • 4 ay önce

🚨 WE’RE NOT BULLISH ENOUGH! 56% of my portfolio is in $IREN, $CIFR, $NBIS, $TE = AI/HPC, GRID & ENERGY. Spend 45 seconds watching this clip, and you’ll know why. 1. $CIFR has an elite team of ex-hyperscaler specialists from $GOOG, $META, and $AAPL optimizing every site. 2. The next couple of years will see more acquisitions, more sites, more deals in AI data centers. 3. $IREN secured a $9.7B AI cloud contract with $MSFT. $CIFR inked a $5.5B lease with $AMZN AWS and has a stake from $GOOG. 4. $NBIS landed $3B with $META and multi-billion with $MSFT. 5. J.P. Morgan forecasts AI infrastructure capex for data centers hitting $1.4 trillion annually by 2030, tripling near-term levels. 6. Jon Gray, President and COO of Blackstone Inc., stated in his latest presentation: “It starts with the picks and shovels, with things like chips, data centers, and power at massive scale. We have really focused on the right two circles here.” (Refering to data centers and power) 7. $NVDA’s Jensen Huang: “We wish we had more compute energy.” 8. The current administration pushes AI, energy, and defense with plans for massive power plants to fuel the AI boom. Onwards, -BP Not financial advice. Turn on notifications 🔔 for alerts on new posts.

🚨 WE’RE NOT BULLISH ENOUGH! 56% of my portfolio is in $IREN, $CIFR, $NBIS, $TE = AI/HPC, GRID & ENERGY. Spend 45 seconds watching this clip, and you’ll know why. 1. $CIFR has an elite team of ex-hyperscaler specialists from $GOOG, $META, and $AAPL optimizing every site. 2. The next couple of years will see more acquisitions, more sites, more deals in AI data centers. 3. $IREN secured a $9.7B AI cloud contract with $MSFT. $CIFR inked a $5.5B lease with $AMZN AWS and has a stake from $GOOG. 4. $NBIS landed $3B with $META and multi-billion with $MSFT. 5. J.P. Morgan forecasts AI infrastructure capex for data centers hitting $1.4 trillion annually by 2030, tripling near-term levels. 6. Jon Gray, President and COO of Blackstone Inc., stated in his latest presentation: “It starts with the picks and shovels, with things like chips, data centers, and power at massive scale. We have really focused on the right two circles here.” (Refering to data centers and power) 7. $NVDA’s Jensen Huang: “We wish we had more compute energy.” 8. The current administration pushes AI, energy, and defense with plans for massive power plants to fuel the AI boom. Onwards, -BP Not financial advice. Turn on notifications 🔔 for alerts on new posts.

Black Panther Capital

58,387 görüntüleme • 6 ay önce

ELON WARNS OF THE REAL AI BOTTLENECK Even with the sun, efficiency still matters. AI is hitting physical limits. Why? Everything is going to go electric. AI is going to explode. Electricity output will have to TRIPLE. The grid isn’t ready, and one bad peak could mean a blackout. Utilities need to build power and add batteries, or expect CHAOS. This is an AI is an energy race.️

ELON WARNS OF THE REAL AI BOTTLENECK Even with the sun, efficiency still matters. AI is hitting physical limits. Why? Everything is going to go electric. AI is going to explode. Electricity output will have to TRIPLE. The grid isn’t ready, and one bad peak could mean a blackout. Utilities need to build power and add batteries, or expect CHAOS. This is an AI is an energy race.️

Mario Nawfal

51,787 görüntüleme • 6 ay önce

When we first met Tom, his obsession with energy markets came through immediately. Seemed random, but it's "actually" central to what he's building at Actual Computer. The thesis is that local inference is inevitable. Open source models are getting good enough, people don't want to feed their thoughts to AI labs, and demand for compute will continue to be insatiable. But the main forcing function is that chips aren't the bottleneck anymore - power is. Compute is derivative of energy, and the massive data center buildout has created an energy shortage where GPUs sit idle waiting for power to come online. Yet one place that already has power, and always will, is everywhere else. Homes. Businesses. Universities. Collectively, they have more compute than all the data centers combined. Tom Lynch goal is to build a distributed network of people plugging in their local compute (devices like Mac minis to consumer Nvidia cards) to serve inference demand. The substrate he's chosen is Bittensor, on Subnet 95. Actual Computer has an exceptional team behind it, and this is one of the projects that's gotten me most excited in a long time. Enjoy this conversation with the two of us!

When we first met Tom, his obsession with energy markets came through immediately. Seemed random, but it's "actually" central to what he's building at Actual Computer. The thesis is that local inference is inevitable. Open source models are getting good enough, people don't want to feed their thoughts to AI labs, and demand for compute will continue to be insatiable. But the main forcing function is that chips aren't the bottleneck anymore - power is. Compute is derivative of energy, and the massive data center buildout has created an energy shortage where GPUs sit idle waiting for power to come online. Yet one place that already has power, and always will, is everywhere else. Homes. Businesses. Universities. Collectively, they have more compute than all the data centers combined. Tom Lynch goal is to build a distributed network of people plugging in their local compute (devices like Mac minis to consumer Nvidia cards) to serve inference demand. The substrate he's chosen is Bittensor, on Subnet 95. Actual Computer has an exceptional team behind it, and this is one of the projects that's gotten me most excited in a long time. Enjoy this conversation with the two of us!

Sami Kassab

35,706 görüntüleme • 6 ay önce