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An 84-year-old senator stood at Stanford last Friday and told a room full of future tech workers that America has “not a clue” what’s about to hit it. Then he proposed freezing the construction of AI data centers until Congress catches up. Bernie Sanders isn’t wrong about the problem. He might be dangerously wrong about the solution. The Stanford Bombshell Sanders shared the stage with Congressman Ro Khanna — the guy who literally represents Silicon Valley — at an event titled “Who Controls the Future of AI: The Oligarchs or the People.” Subtlety wasn’t on the agenda. ...

There’s a concept in economics called diffusion — the moment a technology stops being a novelty and starts propagating through the entire economy. Steam had its moment. Electricity had its moment. The internet had its moment. February 2026 is that moment for AI. And the evidence is no longer debatable. Spotify’s Engineers Stopped Writing Code Spotify CEO Gustav Söderström dropped a bombshell in early February: the company’s top developers “have not written a single line of code” in 2026. Not because they’re slacking. Because they’re supervising AI instead. ...

Five days in New Delhi. $260 billion in pledges. A new US-India tech alliance with China squarely in the crosshairs. The India AI Impact Summit 2026 wasn’t another safety-focused talkfest — it was a power grab, and India just pulled it off. The Numbers Are Staggering Reliance Industries led with $109.8 billion over seven years for AI and data infrastructure across India. The Adani Group followed with $100 billion by 2035 for renewable energy-powered AI data centers. Microsoft confirmed $50 billion by 2030 for the Global South, with India as the flagship market. Yotta Data Services announced $2 billion-plus for one of Asia’s largest AI computing hubs running NVIDIA’s Blackwell Ultra chips. ...

The number that broke the internet this week: $30 billion. That’s how much Nvidia — the world’s most valuable company — is about to pour into OpenAI’s latest mega funding round. But the headline number isn’t the story. What happened before this deal, and what it reveals about AI’s increasingly tangled power structure — that’s the story. The $100 Billion Deal That Died Rewind to September 2025. Nvidia and OpenAI announced a blockbuster: Nvidia would invest up to $100 billion to support OpenAI’s chip deployment across massive data centers. Stock soared. AI’s ultimate power couple was born. ...

Tom Cruise and Brad Pitt trading punches on a crumbling rooftop. Donald Trump doing kung fu in a bamboo grove. Will Smith battling a spaghetti monster in what looks like a $200 million blockbuster. None of it is real. All of it was made in minutes by a Chinese AI tool that just sent Hollywood into full meltdown. ByteDance’s Seedance 2.0 launched last week and immediately became the most controversial AI release since DeepSeek rattled Silicon Valley. The clips it produces are so convincing that Deadpool screenwriter Rhett Reese looked at the Cruise vs. Pitt footage and wrote: “I hate to say it. It’s likely over for us.” ...

Every electric vehicle on the road hides a dirty secret inside its motor. The magnets that make it spin depend on rare earth elements — and China controls nearly 90% of the global supply. One research team just used AI to crack that problem wide open. The Supply Chain Everyone Ignores Here’s the uncomfortable math: over 86% of EV motors sold in 2024 used rare earth permanent magnets. Each vehicle packs roughly 1.5 kilograms of neodymium iron boron (NdFeB) — the strongest permanent magnets money can buy. They’re in your phone, your MRI machine, your wind turbine, and increasingly, your car. ...

The people actually building the most powerful AI systems on Earth stood on the same stage in New Delhi this week. What they said should keep you up at night — not because they agree, but because they don’t. At the AI Impact Summit 2026, Sam Altman, Demis Hassabis, Sundar Pichai, and Dario Amodei each laid out their vision for what’s coming. The timelines range from two years to a decade. The disagreement itself is the story. ...

Something shifted this week. Not in the AI labs — in the culture. On Tuesday, the New York Times devoted an entire episode of The Daily to “vibe coding” — building software by describing what you want to an AI agent and letting it handle the actual programming. The same day, the NYT opinion section ran a piece declaring “The A.I. Disruption We’ve Been Waiting for Has Arrived.” When the paper of record runs the same story in two different sections on the same day, that’s not a news cycle. That’s a cultural inflection point. ...

One hundred billion dollars. That’s not a national budget — it’s what a single Indian conglomerate just committed to building AI data centers. Adani Group dropped the bombshell at the India AI Impact Summit 2026 in New Delhi, pledging to expand its data center capacity to 5 GW of hyperscale, AI-ready facilities by 2035. Liquid cooling, renewable energy, the works. If it happens, it would be the world’s largest integrated data center platform. ...

Every week, a new blog post asks: MCP or RAG? RAG or Agents? Agents or MCP? The question is wrong. These aren’t competing technologies. They’re layers — and the teams shipping the most capable AI systems in 2026 are stacking all three. Here’s what each layer actually does and why you probably need more than one. MCP: One Plug to Rule Them All LLMs are brilliant and trapped. They can reason about your calendar but can’t read it. They can plan a database migration but can’t execute it. They need hands — and before MCP, giving them hands was a mess. ...