Uber built its entire empire on a simple premise: own nothing, control everything. No cars, no drivers on payroll — just a platform connecting supply and demand. That model minted billions. Now the company is tearing up the playbook entirely, committing more than $10 billion to buying autonomous vehicles and taking equity stakes in robotaxi developers. It is the most consequential strategic shift in Uber's history. According to a Financial Times report, the breakdown goes like this: over $2.5 billion in equity stakes across robotaxi developers — including Baidu, Rivian, and Lucid — plus more ...

If you blinked, you missed one of the wildest one-day moves of 2026. Allbirds — yes, the cozy wool sneaker company beloved by Silicon Valley types — announced it is completely abandoning shoes to become an AI infrastructure company. The stock, which was trading under $3 and valued at a measly $21 million, exploded more than 700% in a single session, briefly touching $17. Here is the pitch: the company will rebrand as NewBird AI and pivot into high-performance compute infrastructure, specifically acquiring AI hardware and leasing it to customers on long-term contracts. They are raising up to $...

Here's the thing nobody's talking about: AI isn't running out of chips or money. It's running out of dirt. Microsoft, Google, and Amazon have the capital and the processors to build data centers everywhere. What they don't have? A power outlet that won't take three to five years to connect. Water rights that won't trigger a community revolt. Land that isn't already spoken for. This is the actual bottleneck crushing the AI infrastructure boom—and it's about to force the entire industry to look up. **The Problem That Broke the Grid** Data centers need three things: power, cooling, and space....

Bears have been circling Microsoft for a while now, arguing that AI is going to eat its lunch. The logic: if AI agents can replace SaaS software, MSFT's per-seat subscription model is toast. Reasonable thesis. Wrong conclusion.Here's what the bear case misses: Microsoft doesn't just sell software seats — it owns the enterprise data layer. Over 450 million commercial users are embedded in Teams, Outlook, SharePoint, and Azure. Nearly 486,000 organizations run on Azure, including 85% of the Fortune 500. That's not just a customer base — that's the moat that makes Microsoft's AI play uniquely pow...

Every year, someone trots out the old "Sell in May and go away" adage. Most years, the market ignores it. But 2026 might be different — and there's data to back that up.MarketWatch's Mark Hulbert points out that the "Halloween indicator" — the strategy of holding stocks only from November through April — has historically outperformed during midterm election years. This is one of those years. The combination of a seasonal weak period (May through October) overlapping with midterm election uncertainty creates a historically choppy environment for equities.Here's the twist: you don't actually hav...

Wall Street earnings season kicked off with a bang, and Bank of America just delivered one of the more impressive beats of the cycle. Q1 profit and revenue both topped estimates — but the real headline is what happened inside the trading desks: equities revenue surged 30% to record levels. Not a typo. Record levels.The catalyst? Volatility courtesy of the Iran conflict sent traders scrambling, and BofA was positioned to capture it. Higher volatility means more client activity, wider spreads, and fatter trading revenues — and that is exactly what played out. The stock was climbing toward a two-...

Look, everyone's obsessed with NVIDIA. It's the obvious play, the one your uncle won't shut up about at Thanksgiving. But here's the thing—ChatGPT just threw out a curveball that's worth paying attention to: Micron Technology (MU). Before you roll your eyes at an AI chatbot giving stock advice (fair), hear me out. Micron's the unglamorous memory chip maker that powers the infrastructure behind all those fancy AI models everyone's losing their minds over. While NVIDIA gets the spotlight with its GPUs, Micron's quietly crushing it with HBM (high-bandwidth memory) and DRAM—the stuff that actuall...

Here's a fun fact about investing: the best time to buy is usually when everyone else is having a panic attack. And according to Bank of America's latest survey of fund managers, we might be living in that exact moment right now. The data is pretty wild. Fund managers are sitting at their most bearish point since mid-2025—basically, they're nervous. Really nervous. Their sentiment score tanked from 5.6 to 3.7, cash levels hit their highest point in nearly a year, and equity allocations are at their lowest since July. On the surface, this looks like a disaster movie. But here's where it gets i...

Here's the thing about markets: sometimes they get it spectacularly wrong. Right now, AI stocks are getting hammered by geopolitical jitters and macro anxiety. Meanwhile, the actual demand for AI infrastructure is going absolutely bonkers. Let me break down what's actually happening behind the scenes. The numbers are wild. Marvell revised its fiscal 2027 revenue forecast from $9.5 billion to $11 billion in just six months—a 30% jump. Broadcom is now seeing $100 billion in AI chip revenue visibility by 2027. And Jensen Huang? He's gone from seeing $500 billion in AI demand a year ago to at le...

David Einhorn doesn't ring alarm bells often. The Greenlight Capital founder has a long track record of being right when almost everyone else was wrong — including a famous short on Lehman Brothers before its collapse. So when he sends an investor letter saying he's putting "capital preservation at the top of our priorities," that's not noise. That's a signal worth taking seriously. In a letter dated this Monday, Einhorn wrote: "With so little downside priced in, we are willing to risk missing out on a possible recovery to position ourselves to play more offense, should one of the downside sc...