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$4.8 Trillion and Climbing Alphabet just crossed $4.8 trillion in market cap. Nvidia sits at $5.2 trillion. The gap is closing fast. A year ago, this race wasn’t even a conversation. Google was the “search company with an AI problem.” Now it’s the integrated AI powerhouse that Wall Street can’t stop buying. The stock is up 160% in twelve months. What changed? Everything — and nothing. Google always had the pieces. It just took the market a while to notice they’d assembled them. ...

When one of the world’s largest tech companies admits its own AI tool can’t keep up with the competition, you know something interesting is happening. Amazon just did exactly that — and the story behind it is a fascinating window into the messy reality of the AI coding wars. The Kiro Mandate That Backfired Rewind to November 2025. Amazon leadership sent an internal memo telling its tens of thousands of developers to use Kiro, Amazon’s in-house AI coding assistant built on its Bedrock platform, over third-party alternatives. The logic seemed straightforward: Amazon had spent billions building its own AI infrastructure. Why wouldn’t it want its engineers dogfooding their own products? ...

The AI chip market just got a lot more interesting. Cerebras Systems — the company that builds AI chips the size of dinner plates — filed updated paperwork raising its IPO price range to $150–$160 per share. That’s up from an already ambitious $115–$125 range set just last week, putting the company on track to raise up to $4.8 billion in what’s shaping up to be the biggest IPO of 2026. ...

Follow the Money in a Circle Nvidia crossed $40 billion in equity investments in 2026. The biggest chunks: $30 billion into OpenAI, $3.2 billion into Corning, $2.1 billion into IREN. Here’s the pattern that has people uncomfortable: Nvidia invests in a company. That company buys Nvidia GPUs. Nvidia books the revenue. Money out, GPUs out, money back in. Rinse and repeat at scale. The Bloomberg Investigation Bloomberg’s investigative team started pulling the thread in April. What they found isn’t illegal. But it raises questions that Nvidia’s 35x forward earnings multiple probably can’t absorb. ...

The headlines are terrifying. AI was the number one reason companies cited for job cuts in both March and April 2026. Nearly 50,000 layoffs this year have been explicitly blamed on artificial intelligence. And yet — unemployment hasn’t spiked. The economy keeps adding jobs. Something doesn’t add up. That’s because the real story isn’t about AI replacing workers. It’s about AI disassembling jobs into component parts, keeping humans for some pieces, and automating others. The result is less dramatic than headlines suggest — but potentially more disorienting for the people living through it. ...

Jensen Huang has a new side hustle. While Nvidia remains the undisputed king of AI chips — the company that turned sand into a $5.2 trillion empire — it’s quietly becoming one of the most aggressive investors in the entire AI ecosystem. In 2026 alone, Nvidia has committed more than $40 billion in equity investments across the AI stack. The company selling picks and shovels in the gold rush is now bankrolling the miners, the land, and the roads. ...

You can’t embargo the most valuable commodity on Earth and expect everyone to play nice. US prosecutors just dropped their biggest AI hardware enforcement action yet — a $2.5 billion smuggling operation that funneled restricted Nvidia servers through Bangkok directly into Chinese hands. The details read like a spy thriller. The implications hit like a freight train. The Operation Bangkok-based OBON Corp allegedly purchased massive quantities of Super Micro servers packed with Nvidia’s H200 and B300 chips — the silicon that powers frontier AI training. Instead of deploying them in Thailand’s growing AI ecosystem, the servers were rerouted to China. Alibaba is named as an end customer. ...

An AI that finds security flaws faster than every human hacker on Earth combined. An AI that’s already found thousands of them — in your operating system, your browser, your bank’s software. That’s not a thought experiment. That’s Claude Mythos, and it’s forcing everyone from Fortune 500 CEOs to the Trump White House to completely rethink AI. Thousands of Zero-Days, One Model Claude Mythos Preview is Anthropic’s latest frontier model. It wasn’t built for cybersecurity — it’s general-purpose. But during internal testing, Anthropic discovered something startling: Mythos finds and exploits software vulnerabilities better than virtually any human alive. ...

Something deeply uncomfortable is unfolding at Meta right now, and it goes far beyond another round of Silicon Valley layoffs. The company is simultaneously tracking employee keystrokes to train AI models, forcing AI tool adoption into performance reviews, and preparing to cut 8,000 workers by May 20th. Employees are sharing nihilistic memes, building countdown websites to their own layoffs, and openly asking to be fired so they can collect severance. ...

The same Nvidia server rack costs $550,000 in the United States and nearly $1 million in China. That price gap tells you everything about where the AI industry stands in May 2026. Chinese tech companies are paying almost double for Nvidia’s B300 servers — when they can get them at all. The cause: a collision of exploding AI demand, tightening U.S. export controls, and a smuggling crackdown that just blew the doors off one of tech’s worst-kept secrets. ...