The Nuclear Power Shift Has Begun Right now, the world’s total nuclear power capacity stands at 396 GW.
Another 299 GW is already in the pipeline — announced, pre-construction, or under active build. For decades, the U.S. has been the nuclear superpower, leading with 102 GW of capacity (as of July 2024). It’s followed by: 🇫🇷 France — 64 GW 🇨🇳 China — 58 GW 🇷🇺 Russia — 29 GW 🇰🇷 South Korea — 27 GW 🇨🇦 Canada — 15 GW But the status quo is about to flip — and flip hard. 🚀 China’s Nuclear Acceleration China is building at industrial speed. A total of 104 new reactors are in development across 22 power plants — adding 118 GW of future capacity. If completed (and current reactors stay online), China’s total capacity will soar to 176 GW, surpassing the U.S. for the first time in history. 🇺🇸 The U.S. Response The U.S. plans to add just 7 GW, spread across 30 prospective reactors at 8 power plants — bringing its potential total to 109 GW. However, four major reactors are scheduled to retire soon: Diablo Canyon (2 reactors) by 2030 Salem (2 reactors) by 2036 & 2040 ➡️ Together, that’s a 5 GW reduction. Russia (-4 GW) and Ukraine (-1 GW) also have planned retirements. 🌍 The New Global Order (If All Goes to Plan) 🇨🇳 China – 176 GW 🇺🇸 United States – 109 GW 🇫🇷 France – 76 GW 🇷🇺 Russia – 46 GW 🇮🇳 India – 41 GW 🌱 The Next Wave Beyond China, India is the next big mover — with 31 new reactors across 9 plants adding 32 GW. Other countries ramping up: 🇷🇺 Russia – 21 GW 🇬🇧 U.K. – 15 GW 🇷🇴 Romania – 15 GW 🇹🇷 Turkey – 15 GW 🇵🇱 Poland – 14 GW (starting from zero nuclear capacity) 🇫🇷 France – +12 GW 🇺🇸 U.S. & 🇮🇷 Iran – +7 GW each 🔋 The Takeaway Global nuclear power is not fading — it’s accelerating. We’re entering a new era where energy independence, decarbonization, and geopolitics collide. The next energy superpower won’t just be the one with oil or gas. It will be the one with reactors online and uranium secured. Source: Statista
The government shutdown is officially the longest one ever...
Source: zerohedge
💥 U.S. household debt just hit another record.
The New York Fed’s Q3 2025 report shows total household debt rising $197 billion (+1%) to a new all-time high of $18.59 trillion. Here’s the breakdown 👇 🏠 Housing debt: $13.5T 💳 Non-housing debt: $5.1T Key highlights: 🏡 Mortgage balances up $137B → now $13.07T Delinquency: 0.83% (barely up from 0.82%) 💳 Credit card balances up $24B → now $1.23T Delinquency: 12.41%, highest since 2011 🚨 🚗 Auto loans steady at $1.66T 🎓 Student loans up $15B → $1.65T 90+ day delinquencies at 9.4% — surging after repayment resumed 🏡 HELOCs up $11B → $422B 🧾 In total: Non-housing balances rose 1% from last quarter. 📉 Consumer bankruptcies: 141,600 — the most since 2020. 🔍 What’s happening: “Household debt balances are growing at a moderate pace, with delinquency rates stabilizing,” said the NY Fed’s Donghoon Lee. True — but under the surface, cracks are widening. Credit card delinquencies are the highest in 14 years. Student loan defaults are accelerating — especially among borrowers 50+, where 1 in 5 loans is now delinquent. Mortgage resilience is holding — for now — but that may change if housing prices slip and credit tightens. 🧠 Big picture: Consumers are tapped out. The pandemic-era cushion is gone. Credit limits are rising, but so are missed payments.
Bitcoin has gone down more than 20% SEVEN times this cycle
Source: Bitcoin magazine
Most Supreme Court justices are skeptical of Trump’s tariffs.
Three conservative justices questioned Trump’s use of an emergency-powers law to collect tens of billions of Dollars in tariffs a month. A decision against Trump could force >$100bn in refunds and remove a major burden on the US importers that are paying the tariffs. Source: HolgerZ
🚨 "Stimulating into a bubble" by Ray Dalio - here are the key takeaways 👇
The Federal Reserve announced it will end Quantitative Tightening (QT) and begin Quantitative Easing (QE) again — calling it a “technical adjustment.” But let’s be honest: That’s easing. And easing into this environment is something we’ve rarely seen in history. Let’s unpack what this means 👇 📉 Normally, QE happens during crisis. Low valuations, weak growth, wide credit spreads, and falling inflation. QE was meant to stimulate into a depression. 📈 This time is different. Stocks are near record highs AI and tech valuations are in bubble territory Unemployment is near record lows Inflation is still above target Credit and liquidity are abundant So if the Fed starts buying bonds and adding liquidity now — while deficits stay huge — it’s essentially monetizing government debt during a boom. That’s not “technical.” That’s a classic late-stage Big Debt Cycle move — where monetary and fiscal policy collide to keep the system afloat. 🧩 The mechanics: QE pushes real yields down Financial assets inflate (especially tech & gold) Wealth gaps widen Inflation reawakens — eventually forcing the Fed to tighten again ⚠️ And that’s when bubbles pop. So yes — the Fed may be stimulating into strength, not weakness. Into a bubble, not a bust. Into risk, not safety. This is the kind of pivot that separates traders from historians.
The market’s view has shifted dramatically.
Back in June, Alphabet and Meta were seen as roughly on par, w/only ~$200bn separating them in market value. Just 4 months later, the picture looks completely different – the gap has exploded to nearly $1.8tn. GOOG is now 2x the market cap of META. (HT Goldman) Source: Holger Zschaepitz @Schuldensuehner
🚨 “China is going to win the AI race.” — Jensen Huang, CEO of NVIDIA
When the world’s most valuable tech CEO says the US might lose the AI race, people listen. At the FT’s Future of AI Summit, Huang didn’t hold back: ⚙️ China’s advantage → lower energy costs + looser regulations. ⚡ “Power is free” — local governments are literally subsidizing electricity for data centers (ByteDance, Alibaba, Tencent). 🇨🇳 Chinese firms are ramping up domestic AI chips — even if they’re less efficient than NVIDIA’s, they’re cheap to run. 🇺🇸 Meanwhile, the US faces export bans, fragmented AI rules, and what Huang calls “cynicism.” His message? “We need more optimism.” The irony: The US bans NVIDIA’s best chips from China to protect its lead. But by doing so, it might be accelerating China’s self-reliance. Huang’s warning hits hard: regulation, energy policy, and mindset could decide who truly leads in AI — not just who has the best chips. 💬 What do you think — is Huang right? Will policy and power matter more than chips and code in the next phase of the AI race? See the link to FT article >>> https://lnkd.in/eas5VKjj
