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The AI industry has a people problem. Not a technology problem, not a funding problem — a people problem. The kind where actual humans organize marches, stall $98 billion in projects, and make advertisers scrub the letters “AI” from their campaigns like it’s a slur. This week delivered the receipts. TIME Magazine’s cover screamed “The People vs. AI.” Sam Altman compared training AI to raising a child and got dragged across the internet. And Super Bowl advertisers discovered that slapping “AI-powered” on your product is now a net negative. Something has shifted, and the industry hasn’t caught up. ...

What if instead of running an AI model on a chip, you turned the model into the chip? That’s the bet Taalas just went public with — and the numbers are making the entire semiconductor industry sit up straight. This 25-person startup out of Toronto emerged from stealth with $169 million in funding and a working product called the HC1: a chip that hard-wires a large language model directly into silicon transistors. No software stack. No HBM memory. No liquid cooling. Just raw, physics-level inference. ...

Something shifted this week. Not in the technology — the models keep improving, the benchmarks keep climbing, the agents keep getting sharper. What shifted is the mood. And if you’re watching the AI industry, that mood shift might matter more than any new model release. In the span of a few days: The New York Times asked why the public doesn’t love the AI boom the way they loved dot-com. Bernie Sanders stood at Stanford calling this “the most dangerous moment in the modern history of this country.” Ads quietly appeared inside ChatGPT conversations. And a Bank of America survey showed that a full quarter of fund managers now see the AI bubble as the single largest risk to the market. ...

Forget the chatbot wars. The biggest AI story developing right now isn’t about benchmark scores — it’s about where AI is going to live. Within five days, we learned that Apple is fast-tracking three AI wearables simultaneously, OpenAI has over 200 people building hardware with Jony Ive, and Meta is expanding its already-successful Ray-Ban smart glasses globally. Snap is even spinning its AR glasses into a standalone company. This isn’t coincidence. This is the starting gun of the AI hardware race. ...

The biggest AI summit of 2026 just wrapped in New Delhi, and the headline isn’t a new model or a benchmark war. It’s this: 88 countries — including the US, China, and Russia — just signed a shared vision for how AI should be built and governed. That’s not supposed to happen. The Declaration Nobody Expected The India AI Impact Summit 2026 ran February 16–21 at New Delhi’s Bharat Mandapam. Prime Minister Modi inaugurated it alongside Macron and UN Secretary-General Guterres. The guest list read like a tech industry yearbook: Pichai, Altman, Amodei, plus delegations from over 100 countries and 20-plus heads of state. ...

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.” ...