The 5 Things You Need to Know in AI - March 9, 2026

What's actually happening in AI — and what most coverage misses.

Mar 09, 2026

Last week, AI stopped being a technology story and became a war story.

Not metaphorically. Literally. The same week that an American AI company got blacklisted by the Pentagon for refusing to enable autonomous weapons, those weapons were running on that company’s models anyway. A $110 billion funding round closed. Apple quietly handed its voice assistant to Google. And AI-generated propaganda flooded both sides of an active military conflict in real time.

If you felt like you needed a decoder ring to follow this week in AI, you were not alone. Here is what actually happened and why it matters.

01. THE COMPANY THAT SAID NO

In July 2025, Anthropic signed a $200 million contract with the Pentagon. Buried in that contract were two sentences: the military could not use Claude for domestic mass surveillance, and it could not use Claude to guide fully autonomous weapons. For months, those two sentences sat dormant. Then the Pentagon decided it wanted them gone.

When CEO Dario Amodei refused to remove the restrictions, the Trump administration ordered every federal agency to stop using Anthropic’s products immediately. Defense Secretary Pete Hegseth labeled the company a supply chain risk to national security, a designation normally reserved for companies like Huawei. President Trump posted the directive on Truth Social. And within hours of the announcement, OpenAI announced it had signed its own Pentagon deal, with Altman publicly saying he shared Anthropic’s position on restrictions just that morning.

The public reaction was not what the government anticipated. Claude shot to number one on the Apple App Store, displacing ChatGPT. More than 1.5 million users claimed to be canceling their ChatGPT accounts. A Reddit thread urging people to delete the app crossed 33,000 upvotes. By mid-week, Amodei was reportedly back at the negotiating table and Altman admitted his company should not have rushed its deal. The standoff remains unresolved as of this writing, but the story it tells is clear: there are no agreed-upon rules for how AI companies should work with militaries, and the first company to try drawing a line got lit on fire for it.

Why it matters: This is not a story about one contract. It is about who gets to set the terms when AI is used to make life and death decisions. Right now, the answer is nobody.

02. THE MODEL THAT WAS ALREADY THERE

While Anthropic was being blacklisted, its AI was selecting targets.

The Washington Post reported this week that in order to strike 1,000 targets in the first 24 hours of the US-Israel offensive on Iran, the military relied on Palantir’s Maven Smart System, which runs on Anthropic’s Claude. The same model that Anthropic refused to hand over without restrictions was already embedded in the most consequential military operation the United States has conducted in years. As one defense expert put it plainly: AI gets it wrong, and we need humans checking the output of generative AI when the stakes are life and death. Whether that human check was happening consistently is a question no one has answered.

Analysts have already flagged what appears to be an AI-identified park bombed because the word ‘police’ appeared in its name. This is the governance gap made concrete. Anthropic tried to build a framework. The Pentagon declined to adopt it. The tool got deployed anyway through an existing contract with Palantir. And now we are watching in real time what happens when AI target selection runs ahead of the legal and ethical infrastructure designed to govern it.

Why it matters: The debate over AI weapons policy is not theoretical anymore. It is happening right now, and the accountability structure to evaluate what is going right or wrong essentially does not exist.

03. $110 BILLION AND A CIRCULAR FIRING SQUAD

OpenAI closed the largest private funding round in history this week: $110 billion from Amazon ($50B), Nvidia ($30B), and SoftBank ($30B), at a $730 billion pre-money valuation. The headline number is staggering. The structure of the deal is worth examining more carefully.

Amazon is investing $50 billion in OpenAI. OpenAI is committing to spend $100 billion on Amazon compute over the next eight years. Nvidia is investing $30 billion. OpenAI is running its next-generation models on Nvidia’s Vera Rubin chips. SoftBank is investing $30 billion, largely financed through loans backed by assets including its own Nvidia stake. Reuters flagged this immediately as a circular financing structure, where companies invest in and sign supply deals with each other simultaneously, which inflates both demand and projected revenue in a self-reinforcing loop. Notably, Microsoft, OpenAI’s largest and longest-standing backer, did not participate. That absence has not received the attention it deserves.

There is also a buried condition worth noting: $35 billion of Amazon’s $50 billion investment is contingent on OpenAI either completing an IPO or achieving artificial general intelligence. The largest private financing in history has AGI as one of its closing conditions.

Why it matters: Before accepting a $840 billion valuation at face value, it is worth asking how much of the revenue underlying that number is being purchased by the same people who just paid for the valuation.

04. APPLE CHOSE GOOGLE

It did not make the front page this week, but it should have. Apple announced that the reimagined version of Siri coming in iOS 26.4 will run on Google’s Gemini model, with Apple’s own Private Cloud Compute handling the privacy layer.

Think about what that means structurally. The world’s most valuable company, the one that has spent years positioning privacy as a core competitive advantage, decided its own AI development was not good enough to power its flagship voice interface. So it turned to its oldest rival. Not to OpenAI. Not to Anthropic. To Google. That choice reflects a quiet but significant signal about enterprise trust. Google’s infrastructure, reliability, and data handling record apparently cleared a bar that OpenAI’s did not.

The timing is hard to ignore. The same week OpenAI signed a Pentagon deal and watched its app uninstall numbers surge, Apple passed on it entirely. Siri being rebuilt on Gemini is not just a product decision. It is a statement about which AI relationships Apple is willing to put its brand behind.

Why it matters: The model layer is becoming a commodity, but trust and infrastructure are not. Apple’s decision is a signal about where enterprise AI partnerships are actually being built, and who is being left out.

05. THE PROPAGANDA MACHINE RUNS ON BOTH SIDES

The Iran conflict introduced something genuinely new to warfare this week: industrialized AI-generated disinformation running simultaneously on both sides of an active military conflict.

Researchers at the University of Toronto’s Citizen Lab documented a coordinated network using AI-generated imagery, deepfake video, and fake news outlet mimicry to distribute propaganda to Iranian audiences. Pro-Iranian accounts responded in kind, flooding social media with fabricated videos of aircraft carriers being sunk and Tel Aviv leveled, none of which happened. Old footage from a 2015 chemical warehouse explosion in China was recirculated as evidence of fresh Iranian missile strikes. PolitiFact traced a video watched by millions, supposedly showing Iranian military bases being hit, and found three of its four clips carried visible AI-generation artifacts.

We have had wartime propaganda since the first war. What is different now is the production scale, the distribution velocity, and the near-impossibility of distinguishing fabricated video from real footage in real time, at the speed social media operates. The same tools that make AI-generated content accessible to independent creators also make it accessible to state-sponsored information operations. There is no firewall between those two use cases, and no one is building one fast enough to matter.

Why it matters: Every major conflict from this point forward will have an AI disinformation layer running alongside the kinetic operations. The media literacy infrastructure to handle that does not yet exist at scale.

WHAT I’M WATCHING THIS WEEK

The Anthropic-Pentagon renegotiation. If Amodei reaches a deal, the terms will tell us everything about what AI safety commitments are actually worth inside a government contract. If he does not, we find out whether the supply chain risk designation survives a court challenge. Either outcome sets a precedent the entire AI industry will have to live with.