Morning Briefing — Friday, February 27, 2026
Block fires 4,000+ humans to become "AI-native." The coding agents Karpathy says "basically work" are already replacing their colleagues.
Today's briefing tells one story from three angles: the AI labor shock is no longer theoretical.
Block just made the quiet part loud. Cutting 40% of your workforce and explicitly calling it an "AI-native" restructuring is a message to every board in Silicon Valley. This isn't "efficiency gains" or "strategic realignment" — it's a CEO saying the machines can do what half his employees did. Pair this with Karpathy's timestamp ("coding agents basically work since December") and the SF Fed flagging AI as a macroeconomic uncertainty, and you have three independent signals converging on the same conclusion: Q1 2026 is when AI labor displacement moved from speculation to execution.
The WiFi DensePose story deserves more attention than it will get. Full-body pose estimation through walls using commodity hardware was a research curiosity in 2024. Today it's a trending GitHub repo. This is the pattern we keep seeing: capabilities that seemed safely theoretical become democratized overnight. The privacy implications are enormous — every mesh WiFi system in every home is a potential surveillance device. Expect this to surface in policy discussions within weeks.
The defense stories are a quiet counterpoint to the Anthropic saga. While the Pentagon threatens Anthropic over Claude access, Lockheed Martin is already flying AI on F-35s through Project Overwatch, and Google is consolidating its robotics under DeepMind. The military doesn't actually need Anthropic — it has plenty of willing AI partners. The ultimatum was always more about establishing precedent (can the government compel AI companies to provide unrestricted access?) than about operational necessity. Today is the deadline day. We'll know by tonight whether Anthropic blinked.
Watch for: Anthropic's response to the Pentagon deadline (5pm ET today). Block's stock movement as markets digest the AI-native pivot. And whether other companies follow Block's lead in framing layoffs as AI transformation rather than cost-cutting.