NEXT WEEK’S SCHEDULE IS INSANE FOR MARKETS MONDAY → FED PRESIDENT SPEECH TUESDAY → FOMC ANNOUNCEMENT WEDNESDAY → BEIGE BOOK (ECONOMIC REPORT) THURSDAY → FED INJECTS $6.57 BILLION FRIDAY → U.S. UNEMPLOYMENT RATE GET READY FOR THE MOST VOLATILE WEEK OF 2026!!

🚨 WARNING: TOMORROW WILL BE THE WORST DAY OF 2026!! → The new Fed chair confirmed interest rate HIKES. → Japan is starting QE to prevent the bond market collapse. → China is nonstop dumping U.S. Treasuries. → US-Iran peace deal is now officially CANCELLED. When markets reopen on Monday, this won't be “just a small dip.” Stocks will dump. Bonds will dump. Bitcoin will dump even harder. Insiders already know what's coming. They are not “buying the dip.” They are raising cash, cutting risk, and positioning for the largest risk-off event of the year. Meanwhile, pressure is building across the global financial system. China is dumping foreign treasuries, pushing holdings to the lowest levels seen since 2008. Foreign demand for U.S. debt is disappearing as deficit, inflation, and geopolitical concerns grow. At the same time, Japan's bond market volatility has forced the BOJ back into QE. When the world's two largest foreign creditors step back from debt markets simultaneously, global liquidity disappears fast. → Japanese bond yields are surging → Foreign demand for U.S. Treasuries is weakening → Global bond markets are under heavy pressure → Oil markets remain unstable → Liquidity is tightening worldwide → Volatility is spreading across asset classes This is no longer one isolated problem. This is systemic pressure building across MULTIPLE fronts simultaneously. And now add the geopolitical risk. The U.S.-Iran peace deal fell apart after negotiations failed to produce a lasting agreement. When diplomacy breaks down, markets stop pricing certainty. They price ESCALATION. And once markets begin pricing the possibility of a prolonged U.S.-Iran conflict... Energy markets become impossible to stabilize. Oil does not rise gradually. It goes parabolic. Shipping routes become vulnerable. Supply chains break down. Inflation surges globally. Which means interest rates stay higher for longer. And that creates the exact environment markets cannot survive in: → Slowing growth → Persistent inflation → Tight liquidity → Rising geopolitical risk → And collapsing investor confidence And risk assets? They do not “dip.” They DUMP HARD. This is exactly how chain reactions begin. Because once markets start pricing prolonged instability instead of temporary uncertainty, the entire framework changes. Because once this accelerates, there will be no time left to react. I have spent years tracking macro and systemic market reactions like this. When the next move becomes obvious, I will share it here publicly. Follow and turn notifications on. Because by the time it reaches the headlines, it is already too late.

Two economists just published a mathematical proof that AI will destroy the economy. Not might. Not could. Will — if nothing changes. The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence. "At the limit, firms automate their way to boundless productivity and zero demand." An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself. Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation. The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger. No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion." Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem. Rational behavior. At scale. Simultaneously. With no mechanism to stop it. Two economists built the math. The math leads to one place. Source: Falk & Tsoukalas · Wharton School + Boston University ·

Bernardo Silva

Guerreiro

The next 5-10 years will RETIRE you. MILLIONAIRES will be made from the AI super cycle build out. Here’s how I and those following me will position: 2026–2027: AI Infrastructure Boom Money floods into chips, memory, networking, photonics, data centers, cooling, and compute capacity. AI Chips: $NVDA $AMD $AVGO $MRVL $INTC Memory: $MU $SNDK $WDC Photonics: $GLW $AAOI $NVTS AI Infrastructure: $VRT $SMCI $DELL $NBIS $IREN 2028–2030: The Power Bottleneck It becomes a grid, power, copper, uranium, and domestic supply chain story. Grid: $ETN $PWR $HUBB $VRT Electrification: $GEV $TE $ALB $SQM Copper: $FCX $TECK $SCCO Rare Earths: $MP $CRML $USAR $TMRC Nuclear: $UUUU $SMR $OKLO 2030+: The Application Layer Robotics: $TSLA $SERV $SYM Autonomy: $ACHR $JOBY Defense: $LMT $PLTR $KTOS $AVAV Space: $RKLB $ASTS $LUNR $PL $BKSY I’m trying to help you position and become a MILLIONAIRE. I will make sure it happens.

One usually doesn’t sees the terms “Doomsday Argument”, “instrumental convergence”, “computational irreducibility”, and the “Many-worlds interpretation of quantum mechanics” in a Wall Street research report. But I decided to do something different this week:

The idea that there are some things that can happen and DO happen while there are other things that can happen but DON'T happen is very philosophically unappealing. Who or what decides what becomes real or not? A much more appealing idea is that everything that can happen does happen, and the more ways in which something can happen, the more often it happens. That's what a literal interpretation of the mathematics of quantum mechanics says at least. So whatever photo the AI generates, unless it shows something that is forbidden by the laws of physics, will exist in some emergent branch of the wave function. And yes, this actually has some investment implications

The AI bubble is primarily an earnings bubble rather than a valuation bubble. My report this week discusses the metrics investors should monitor to know when this bubble is about to burst.