AI Regulation

Abstract representation of federal AI policy framework overriding state regulations

The White House Just Dropped Its AI 'One Rulebook' — And States Are About to Lose Control

The White House did something Friday that Silicon Valley has been begging for since ChatGPT went viral: it published a legislative blueprint for a single, unified national AI policy. The four-page document — the “National Policy Framework for Artificial Intelligence” — tells Congress to override state-level AI regulations, protect children online, streamline energy permitting for data centers, and safeguard free speech from AI-powered censorship. It’s not a law. It’s a wishlist. But it’s the most concrete signal yet about what federal AI regulation might actually look like — and the implications are enormous. ...

Abstract illustration of AI safety and weapons expertise paradox

AI Companies Are Hiring Chemical Weapons Experts — And That Should Terrify You

The job listing reads like a Tom Clancy novel: “Policy Manager, Chemical Weapons and High-Yield Explosives.” Five years minimum experience in chemical weapons defense. Knowledge of radiological dispersal devices — dirty bombs, for the uninitiated. The employer? Not the Pentagon. Not the CIA. Anthropic, the company that makes Claude. Welcome to 2026, where the hottest job in Silicon Valley requires you to know how to build a bomb so you can teach an AI not to tell anyone else how. ...

Anthropic versus the Pentagon — AI safety meets national security

Anthropic Sues the Pentagon: The AI Safety Showdown That Could Reshape the Industry

The biggest AI company your parents have never heard of just picked a fight with the United States Department of Defense. And the outcome could determine what AI looks like for the rest of the decade. On Monday, Anthropic — the company behind Claude, one of the world’s most capable AI systems — filed two federal lawsuits against the Pentagon, the Trump administration, and 16 government agencies. The trigger: the Defense Department slapped Anthropic with a “supply chain risk” designation, a label typically reserved for foreign adversaries like Huawei or Kaspersky. ...

Abstract illustration of diverse political forces converging on AI regulation

Steve Bannon and Susan Rice Agree on One Thing: AI Needs a Leash

There are exactly zero things Steve Bannon and Susan Rice agree on. Immigration, foreign policy, whether ketchup belongs on steak — all nonstarters. But AI? Turns out, that’s the one. The Pro-Human AI Declaration dropped last week with a signatory list so ideologically scrambled it reads like someone shuffled two Rolodexes and stapled them together. Bannon. Rice. Glenn Beck. Ralph Nader. Richard Branson. The AFL-CIO. SAG-AFTRA. Turing Award laureate Yoshua Bengio. Nobel economist Daron Acemoglu. ...

Bernie Sanders Wants to Freeze AI Data Centers. Here's Why That Won't Work.

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. ...

India AI Impact Summit 2026 - $260 billion in AI investment pledges

India's AI Summit Just Pulled In $260 Billion — And Rewrote the Global Power Map

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. ...