In 2026, control over AI shifted from open utility to concentrated leverage, with key chokepoints in power, compute, data, models, distribution, and capital.
The Six Chokepoints: How AI Stopped Being a Utility and Became a Lever
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Security & Privacy
238 posts
India: Build the Rails First
India has built a digital infrastructure to deliver targeted benefits efficiently, focusing on scalable rails rather than generous benefits. Here’s what is confirmed and why it matters.
The Kill Switch: What the Anthropic Export Ban Really Costs the AI Industry
U.S. government’s export controls on Anthropic’s latest models led to their shutdown, raising concerns over reliance on AI and industry stability.
Capability or Control: The European Enterprise AI Playbook for the AI Act Era
How European companies are navigating the AI Act with strategic model choices, infrastructure, and legal considerations in 2026.
Avengers Labs: How Ukraine Turned Its Front Line Into the World’s Scarcest AI Dataset
Ukraine’s Avengers Labs leverages battlefield drone data to train AI models, transforming combat footage into a critical defense resource amid ongoing conflict.
The Safety Card, Played From Every Side: David Sacks, Anthropic, and the Fable Standoff
White House official claims Anthropic refused to fix a critical AI jailbreak, leading to model bans; Anthropic disputes the severity, raising transparency concerns.
Your Coding Agent Is an Attack Surface: The Claude Code Security Reckoning
Multiple vulnerabilities in Claude Code allow silent token theft and code execution, raising concerns about agent-based tool security for developers.
Candor as a Moat: A Critical Reading of Dario Amodei and Anthropic
A critical examination of Dario Amodei’s transparency and safety claims, and how these strategies may reinforce Anthropic’s market position amid regulatory actions.
Anthropic’s Safety Story Has Become a Power Story
Anthropic claims its AI safety efforts are transforming into a strategic power move, raising questions about influence over AI development and regulation.
The United States: The High-Variance Bet
The U.S. adopts a minimal regulation strategy for AI, betting on market dynamism over government oversight amid rapid technological change.
