The AI industry just had its most dramatic week since ChatGPT launched. In 72 hours, one company drew an ethical line, got punished by the federal government, watched its biggest rival rush in — and then watched that rival face a consumer revolt so fierce it had to backtrack publicly. This isn’t just corporate drama. It’s the first real stress test of whether AI companies can have principles and survive. ...
There’s a phrase that should keep every publisher up at night: “We’re essentially an input company.” That’s Robert Thomson, CEO of News Corp — the Murdoch empire behind The Wall Street Journal, the New York Post, and The Times of London — casually redefining his company’s identity at a Morgan Stanley conference. He said it like it was obvious. And maybe that’s the scariest part. The Deal That Sparked It News Corp just signed a deal with Meta worth up to $50 million per year over at least three years. That’s roughly $150 million for the right to scrape WSJ, the Post, and other News Corp brands to train Meta’s AI models and power Meta AI chatbot responses. ...
For a decade, Nvidia sold the world a simple story: GPUs are all you need. Training? GPUs. Inference? Also GPUs. That story built a $3 trillion empire. On March 16 at GTC 2026 in San Jose, Jensen Huang is expected to blow it up himself. Nvidia will reportedly unveil a dedicated inference processor — not a GPU — built on technology from Groq, the inference startup it absorbed in a $20 billion deal last December. OpenAI is lined up as the first major customer. And the implications for the entire AI hardware ecosystem are enormous. ...
The biggest story in AI right now has nothing to do with benchmarks, parameters, or funding rounds. It’s about what happens when an AI company tells the world’s most powerful military “no” — and what happens when its rival says “yes.” Over five extraordinary days, the AI industry lived through its most dramatic ethical crisis yet. The fallout reshaped public perception of the two leading AI labs, forced a hasty contract amendment, and turned Anthropic’s Claude into the most downloaded free app in America. ...
Users vote with their thumbs. Last weekend, they pressed delete. ChatGPT mobile uninstalls in the U.S. surged 295% day-over-day on Saturday, February 28, according to Sensor Tower data. For context, ChatGPT’s typical daily uninstall fluctuation averaged about 9% over the past month. This wasn’t noise. This was a consumer revolt. The trigger: OpenAI signed a deal with the Department of Defense — now officially rebranded as the Department of War under the Trump administration — to deploy AI models in classified military environments. The timing was brutal. The deal landed hours after the government blacklisted rival Anthropic for refusing to sign a similar agreement without safety guardrails. ...
The FDA has cleared over 1,357 AI-powered medical devices. Every single one of them used old-school AI — pattern recognition, image classification, signal analysis. Not one ran on a large language model. That just changed. RecovryAI, a San Francisco startup fresh out of stealth, announced that the FDA granted Breakthrough Device Designation to its generative AI chatbot for post-surgical recovery. It’s the first time the agency has given this designation to anything powered by an LLM — and the implications go way beyond one startup’s product. ...
The largest private investment in the history of technology just happened. Not the history of AI — the history of technology. OpenAI raised $110 billion in a single round, valued at $840 billion post-money. The investors: Amazon ($50B), Nvidia ($30B), and SoftBank ($30B). Three companies that together own the entire AI supply chain from silicon to cloud. This isn’t venture capital anymore. This is nation-state money flowing into a single company. ...
Forget killer robots. The real AI threat to your business is already inside your walls, working perfectly, and quietly destroying value. “Autonomous systems don’t always fail loudly. It’s often silent failure at scale.” That’s Noe Ramos, VP of AI Operations at Agiloft, in a CNBC investigation that should be mandatory reading for every CIO breathing today. The pattern is simple and terrifying: AI systems doing exactly what they were told, producing outcomes nobody intended, compounding errors for weeks before anyone notices. ...
The highest court in the country just said what everyone already knew — machines aren’t authors. On Monday, the U.S. Supreme Court declined to hear Thaler v. Perlmutter, the eight-year legal crusade to get copyright protection for art made entirely by AI. By refusing the case, the Court left lower court rulings intact: no human author, no copyright. Period. It’s not a surprise. But the consequences are enormous. The Guy Who Tried to Copyright a Robot’s Painting Stephen Thaler, a Missouri computer scientist, has been fighting this battle since 2018. He filed a copyright application for an image called “A Recent Entrance to Paradise” — a surreal piece his AI system DABUS generated without human creative input. ...
There’s a dirty secret in the AI agent world: most teams running Claude Opus are burning money for bragging rights. Don’t get me wrong — Opus 4.6 is a beast. It tops SWE-bench at 80.9%, handles 200K context windows without breaking a sweat, and orchestrates multi-tool workflows like a conductor with perfect pitch. But at $15 per million tokens (blended), it’s the filet mignon of language models. And most of us are building tacos. ...