poorlyRICH

A mild morning.

Uranium & Nuclear Energy Stock Squeeze via the Global AI Power Paradox is HERE, $1,000 Uranium is probable as it is the true bottleneck sector. U.S. Uranium producers have a smaller market cap combined than that of Dogecoin. Leopold Aschenbrenner dropped his Situational Awareness report in mid-2024 with charts that sounded insane about AI demand for power. He grew his fund from $225 million to $5.5 billion since investing in stocks related to the sector but he missed something. The real bottleneck is here, Uranium & Nuclear energy via baseload power. And that’s about to ignite the uranium/nuclear supercycle. The AI Power Paradox straight from the data. Page 77 in his report- by 2030 the largest single AI training cluster alone would need 100 GW >20% of total U.S. electricity production. Page 80-Table 5, overall AI compute training + inference across everyone hits 100% of current U.S. electricity and $8 T annual investment. Most people laughed. Now in 2026 the 2026 row he projected 1 GW clusters, 5% of U.S. power is already happening in real time. xAI Colossus, Meta Prometheus, Google campuses, Amazon nuclear-adjacent builds we’re living Leopold’s table. And the stocks that rode the first wave? Many are up 1,500% to $3500%. • NVDA GPU scaling is driving 300%+ increases in power needs every few years. H100 → Blackwell → Rubin racks now hit 100+ kW each. New chips are more efficient per FLOP, but cluster sizes are exploding so fast that total power draw still skyrockets. Some centers are postponed until they can find power. • Global data centers already consume 415 TWh annually. IEA base case: 945 TWh by 2030 which is double current levels. Some high-growth scenarios hit 1,000+ TWh even sooner. AI workloads -accelerated servers are growing 30% per year and driving almost half the increase. • Big Tech is dropping hundreds of billions in capex $130B+ in Q1 2026 alone from Microsoft, Google, Amazon, Meta. NVIDIA AI factories are city-scale: 100 MW to 1 GW+ per site. • Grids can’t keep up. Permitting, transformers 5-year backlogs, transmission bottlenecks, intermittent renewables all failing. Only reliable, always-on baseload works at this scale nuclear restarts + SMRs and nat gas. Renewables + batteries don’t cut it for 24/7 AI training/inference. Why Uranium & Nuclear Go Parabolic to $1,000/lb scenario, This is a tiny, supply-constrained market meeting explosive, urgent demand the classic squeeze setup as it has done in the cyclical past. • 85 million lb structural annual deficit (Goldman Sachs) from AI alone , 1.7B+ lbs over 20 years even with some new supply and no issues with current mines which is rare. The largest Uranium producer is establishing a reserve for new buildouts locking up cheap uranium the market expected. • U.S. reactors need 50M lbs/year. U.S. producers made <3% of that last year. Sprott Physical Uranium Trust alone now holds over 81 million lbs nearly 2 years of fuel for the entire U.S. fleet. There is a Russian Uranium ban now that really starts to take effect into 2027. • Mining lead times are 2+ years minimum even for permitted projects. You can’t just flip a switch. • Historically in the 1970s Big Oil flooded into uranium and mined hundreds of millions of lbs while America built 55 reactors in 10 years. Today? The Mag 7 and especially $NVDA ecosystem players have the capital to do the same, they’re already signing multi-GW nuclear deals Meta’s 6+ GW spree with Vistra/Oklo/TerraPower, Microsoft TMI restart, Amazon 1.9 GW PPA + SMRs, Google Kairos, etc. Securing power is now existential for AI growth. But we can now build nuclear FAR faster than the 1970s boom. SMRs (small modular reactors) are factory-built like Legos modules ship to site and assemble in 2–4 years vs 7–10+ years for traditional large reactors. -Global nuclear build out accelerating 70+ reactors under construction 400 operational 300+ permitting. DOE studies show 80% of retiring U.S. coal plants are perfect for coal-to-nuclear conversions, reuse the existing grid connections, cooling towers, switchyards, workforce, and sites for massive time/cost savings 15–35% cheaper. Advanced manufacturing, AI-optimized designs, 3D-printed components, and HALEU fuel make scaling even quicker. U.S. policy tailwinds are insane, Russian uranium banned, nuclear declared critical for national security and AI, funding for SMRs/fuel cycle, faster permitting. With U.S. national security at risk AI supremacy vs China, energy independence, powering the entire AI economy, the current administration in Washington is going all-in, executive orders streamlining NRC approvals, Defense Production Act on domestic uranium/fuel, co-locating SMRs with AI data centers, and treating nuclear as critical infrastructure. This is becoming a U.S. energy independence + GDP imperative. The Leverage Is Stupid At current $86.45/lb spot and $91.50 which is what matters most. Many U.S. producers are already profitable but have open contract windows like $UEC. • But when uranium moves to $120–$200 sustained (or higher in a true squeeze) margins explode. • $UEC at a $37 cost to produce Uranium-From $87 → $200 = +220% margin. From cycle lows? 4,000% increase in margins. • At $1,000/lb? Profit jumps to $964/lb +1,792% vs current in a 19× margin expansion. Even from low-cycle $40, it’s +24,000%. Equities will go nuclear long before the commodity fully reflects it. Uranium stocks are leveraged plays on the price of uranium- Like a 0DTE contract but more volatile. Now people hear $1,000 and think this is expensive, well Raw uranium is still a tiny fraction of total costs. Full front-end fuel, uranium + enrichment + fabrication is only 15-20% of total electricity cost for new nuclear plants and 17% for operating plants per NEI data. Raw uranium concentrate itself is less than 10% of overall generating costs (often 5-8% of LCOE or 0.377 ¢/kWh). Even at $1,000/lb, it barely moves the needle on total power price for reactors or AI data centers capital costs and buildout dominate. This is why hyperscalers and utilities can absorb parabolic uranium prices without killing economics. U.S. uranium producers combined are still smaller than meme coins. $UEC, $UUUU, $LEU and the handful with real assets/claims in Texas/Wyoming/West are sitting on billions of lbs of historic resources ready to restart once price justifies it. The 1970s Uranium claim maps are locked and loaded. This is the Global AI Power Supercycle, Leopold’s 2030 vision was the warning shot and everyone flooded to Semiconductors $SNDK +3,350% 1 year, and other forms of energy $BE+1,667% 1 year. But the market is still asleep to what baseload nuclear/uranium actually means for the next decade. Big Oil → Big Tech nuclear M&A wave incoming. Uranium equities will massively outperform the commodity itself even those that are not making any cashflow. A Uranium Squeeze is coming. The funny thing is, Leopold didn't get much traction either when he posted his paper for free, he did get hundreds of millions in funding to invest which paid off. Who else sees the power bottleneck as the next 10x leg? $NVDA made the chips. Now nuclear makes the baseload power. The Uranium squeeze is just getting started.

BREAKING NEWS 🆘The daughter of U.S. Republican Senator Jay Block: 🆘 "Israel pays money to my father, and he spreads propaganda. I am deeply ashamed of this situation. I believe my father has sold his soul to the devil. I hope his career ends!"

Daniel Iles is building a marketing empire from the Alaskan wilderness.

Cole Allen in his manifesto: "I am no longer willing to permit a pedophile, rapist, and traitor to coat my hands with his crimes."