Good morning, and welcome back to Techzip AI Newsletter.

Today’s issue tracks four pressure points shaping AI’s move into real systems. They include Bloomberg’s $30 billion model for a 1GW AI data center, Microsoft Azure Maia and its planned multi-gigawatt deployments, MASS and recursive self-improvement through multi-agent self-supervision, and the infrastructure around agents, from Harness Learning to authorization architecture.

We also look at enterprise AI token spend on Ramp, where Anthropic still leads OpenAI. The common thread is practical scale across chips, power, workflows, evaluation, access and the systems required to turn AI capability into deployment.