Meta Fires 15,000 to Fund $135B AI Spending Spree | Mar 21, 2026

Beyond Brief Daily — I'm Michael Benatar. AI, tech, business. Everything you need to know. Let's get into it. Meta's about to fire 15,000 people. That's one in five employees. Gone. And here's the kicker — Wall Street loves it. Stock jumped 3% on the news. Why? Because those job cuts are funding something way bigger. Meta's dumping up to $135 billion on AI infrastructure this year. That's double what they spent in 2025. And they're not alone — we're looking at a $700 billion AI spending spree across Big Tech. Which means if you're wondering whether the AI boom is real or hype? The answer is sitting in those budget sheets. These companies are betting everything. But that's just the warm-up. Because while Meta's cutting humans to pay for machines, the White House just dropped a federal AI policy framework that's about to override every state trying to regulate this stuff. We've got 20,000 AI agents working at McKinsey. A critical SharePoint vulnerability that's getting hammered right now. And Apple's finally admitting Siri sucks — so they're paying Google a billion dollars a year to fix it. Okay but nobody's talking about this part of the Meta story. Everyone's focused on the layoffs, but here's what actually matters — this is the first time we're seeing a major tech company explicitly trade human jobs for AI capacity at this scale. And the math is brutal. Those 15,000 employees probably cost Meta around $3 billion annually in total compensation. That's like 2% of their AI budget. 2%. Think about what that signals to every other CEO watching. You can cut your workforce by 20%, Wall Street cheers, and you free up cash for the thing that might actually matter in three years. This isn't restructuring — it's a complete reallocation of resources from people to processing power. And here's where it gets interesting. Meta's not just building compute for ChatGPT clones. They're betting that the next platform shift — AR, VR, whatever comes after mobile — will be entirely AI-native. Every interaction, every interface, everything runs through AI. If they're right, having the biggest AI infrastructure becomes the new moat. If they're wrong? Well, they just fired 15,000 people for nothing. Which — by the way — ties into this next story. The Trump administration just released their national AI policy framework, and it's basically designed to kill state regulations before they start. Over 50 Republicans are pissed because they wanted accountability measures for Big Tech. But the White House is saying nope, federal standards only, and those standards are super industry-friendly. So here's the thing. While states like Oregon and Washington are passing real AI safety bills — chatbot protections for kids, deepfake laws, disclosure requirements — the feds are trying to preempt all of it. The timing isn't coincidental. Meta announces massive AI spending, then suddenly federal policy shifts to protect AI developers from liability. That's not regulation, that's industrial policy disguised as governance. And this is the part that actually matters for builders. If federal policy wins, we're looking at a much more permissive environment for AI development. Fewer compliance headaches, less legal risk, faster iteration cycles. But if states keep pushing back — and some will — you're going to have this patchwork where AI companies have to navigate 50 different regulatory frameworks. Which basically means only the biggest players can afford to compete. Now let's talk about something that should terrify every enterprise security team. There's a SharePoint vulnerability — CVE-2026-20963 — that's getting actively hammered right now. CISA just gave federal agencies three days to patch it. Three days. That's not normal. This thing scores 9.8 on the severity scale, which is basically as bad as it gets. Remote code execution, no authentication required, no user interaction needed. An attacker can just point their exploit at your SharePoint server and they're in. And here's the problem — SharePoint is everywhere. Every big company runs it. Every government agency has it. The vulnerability was actually patched back in January, but clearly not everyone got the memo. And now that it's on CISA's known exploited vulnerabilities list, every hacker on the planet knows exactly what to look for. So if you're running SharePoint 2016, 2019, or Subscription Edition and you haven't patched, you're basically running with your front door open. Look, I get it. Patching SharePoint is a pain. But this is one of those moments where the risk-reward calculation is really simple. Patch now or explain to your board why your entire document management system is owned by ransomware crews. Okay but here's a story that made me do a double-take. McKinsey — the consulting giant — now has 20,000 AI agents working alongside 40,000 humans. That's a one-to-two ratio. And they're not just using AI for research or analysis. They're making job candidates interview with their AI tool "Lilli" as part of the hiring process. Think about what that means. The most prestigious consulting firm in the world is saying that working with AI isn't just a nice-to-have skill — it's table stakes. If you can't collaborate with an AI agent, you don't get the job. That's a massive shift in what "consulting" even means going forward. And honestly? That tracks. If McKinsey can deliver client work with a hybrid human-AI workforce, their margins just got way better. They can take on more projects, handle more complexity, scale faster. The question is whether that AI-assisted consulting is actually better, or if it just looks better on a spreadsheet. Quick hits on the rest. Apple's finally admitting Siri is terrible by paying Google a billion dollars a year to power a complete redesign. The new AI-powered version launches with iOS 26.4, probably next month, and it's built on Google's Gemini model. Which is wild because Apple and Google compete on everything else, but when it comes to AI, Apple basically said "we need help." Code Metal just raised $125 million to use AI for translating legacy defense software. That's one of those unsexy but massive markets — every defense contractor has decades of old code that nobody wants to touch because one bug could literally kill people. AI that can modernize that code without introducing new vulnerabilities? Yeah, that's a real business. And Cursor — the AI coding tool — is launching Composer 2 next week. They're at a million daily users now, which is insane growth for a developer tool. If you haven't tried Cursor yet, you should. It's basically pair programming with an AI that actually knows what it's doing. So here's my take on all this. We're watching the AI economy reorganize in real time. Meta's trading people for processing power. The feds are clearing regulatory hurdles for AI companies. McKinsey's running a hybrid workforce. Apple's paying Google to fix their AI problem. But the through-line here is that AI isn't just changing what we build — it's changing how we organize to build it. The companies that figure out the optimal human-AI collaboration models first are going to have a massive advantage. Not just in efficiency, but in what becomes possible. I spend every day building with AI agents at Benatar Brands, and the curve is getting steeper. The stuff that seemed impossible six months ago is now routine. The stuff that seems impossible today? We'll probably crack it by summer. The risk isn't that AI takes over. The risk is that while you're debating whether to adopt it, your competition already has. Meta just showed their math. 15,000 people for $135 billion in AI capacity. That's not a bet on the future — that's a declaration that the future is here. And the companies that don't adapt? They're going to find themselves competing against hybrid workforces they can't match, with AI capabilities they don't have, in markets they no longer understand. That's your brief. I'm Michael Benatar, Beyo...