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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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🚨 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.

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

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

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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.️

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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 Aufrufe • vor 5 Monaten

This is Amazon's new $11 billion AI data center campus in St. Joseph County, Indiana. It will draw 2.2 gigawatts of electricity - the output of a large power plant, enough to supply 1 million homes. For years the public was told energy had to be rationed: use less, dismantle reliable sources, accept scarcity - all to save the planet. That story has now been abandoned. AI requires massive continuous electricity to power the data centers, and AI is now seen as the superior control system. So energy is no longer a liability. It is a strategic necessity. Power will now come from wherever. Whatever works. Whatever scales. The climate narrative was tossed out the moment AI dominance became the new priority. Power was to be rationed. Now it is required. Power was the problem. Now it is the solution.

This is Amazon's new $11 billion AI data center campus in St. Joseph County, Indiana. It will draw 2.2 gigawatts of electricity - the output of a large power plant, enough to supply 1 million homes. For years the public was told energy had to be rationed: use less, dismantle reliable sources, accept scarcity - all to save the planet. That story has now been abandoned. AI requires massive continuous electricity to power the data centers, and AI is now seen as the superior control system. So energy is no longer a liability. It is a strategic necessity. Power will now come from wherever. Whatever works. Whatever scales. The climate narrative was tossed out the moment AI dominance became the new priority. Power was to be rationed. Now it is required. Power was the problem. Now it is the solution.

Electroverse

41,103 Aufrufe • vor 5 Monaten