Reuters reports Meta will capture employee mouse and keyboard activity to train AI agents. The move may speed product quality, but it raises fresh governance, labor, and security questions for enterprise AI teams.

Google introduced prepay billing in AI Studio, a change aimed at making Gemini API spend easier to predict for teams moving from prototypes to heavier usage.

NVIDIA’s security team published a detailed AGENTS.md injection scenario that shows how a compromised dependency can steer coding agents, even when the user prompt looks benign.

Cloudflare published a rare inside look at its own engineering stack, including token volume, request throughput, and the internal controls it built before rolling AI coding tools across the company.

EDAG said it will run its metys industrial platform on Deutsche Telekom infrastructure, combining T Cloud Public and Industrial AI Cloud to give German and European SMEs a sovereignty-first path to AI workloads.

n8n added fresh GitHub momentum this week, underscoring how technical teams are combining classical workflow orchestration with newer AI agent patterns instead of replacing one with the other.

The open project Manifest surged on GitHub Trending with nearly 500 stars in a day, signaling stronger demand for routing layers that pick cheaper models automatically.

Vercel announced Workflows general availability, giving teams a framework-native way to run long-lived execution paths that many AI and automation products require.

Google updated Chrome AI Mode with side-by-side browsing, signaling a push toward persistent assisted navigation instead of one-pane answer experiences.