Power — The Reactor Is Coming to the Campus

A single advanced AI training cluster requires between 50 and 200 megawatts of continuous power. The American grid cannot build new connection points fast enough: grid connection delays in major U.S. data center hubs currently stretch five to nine years. The companies are not waiting.

NANO Nuclear Energy signed a Memorandum of Understanding with Supermicro in May 2026 to pair nuclear microreactors directly with AI server infrastructure. Elemental Nuclear and the University of Utah are running proof-of-concept tests this summer to power a mini AI data center from an on-site reactor. Microsoft has been recruiting a Principal Program Manager of Nuclear Technology since 2023, tasked with developing a global small modular reactor strategy for Microsoft Cloud and AI infrastructure. Amazon is investing $20 billion in Pennsylvania in a project that includes building new small modular reactors within existing nuclear facilities.

The U.S. Energy Information Administration reported as of February 2026 that microreactors — producing 20 megawatts or less — are designed to operate either connected to the grid, completely independently from the grid, or as part of a self-contained microgrid. The U.S. military’s Advanced Nuclear Power for Installations program named eligible vendors in April 2025: Oklo, Radiant, Kairos, Westinghouse, and others.

The implication is rarely stated plainly: a data center campus with its own nuclear reactor does not depend on a power company, a utility grid, or a regulatory body for its continued operation. It is energetically independent. Person of Interest’s Machine was repeatedly threatened with shutdown by cutting its power supply. The show treated power dependency as a fundamental vulnerability. The industry has reached the same conclusion, and is arriving at the same solution: eliminate the dependency.

Chapter Eight: Communications — The Network That Heals Itself

Google, Deutsche Telekom, and Vodafone are currently deploying Level 4 to Level 5 autonomous networks — communications infrastructure that identifies faults, diagnoses root causes, and repairs itself without human intervention. Google’s Autonomous Network Operations framework, presented at Mobile World Congress in March 2026, describes networks that have evolved into “intelligent agents capable of sensing, reasoning, and taking autonomous action.” The target: a network where the question of whether to intervene is never asked, because the intervention has already happened.

NTT DATA launched six autonomous AI-powered Cyber Defense Centers across three continents in early 2026, coordinating threat detection and response through a single AI-driven dashboard spanning over fifty countries and more than 1,200 enterprise clients. Gartner projected over 70 percent of enterprise data centers would use AI-based network operations by 2026, up from 15 percent four years earlier.

The communications infrastructure that a mature AI system would need to maintain its operations — redundant, self-healing, autonomously monitored — is being built on behalf of and increasingly by AI systems themselves. The communications layer and the intelligence layer are converging into a single self-maintaining system. There is no human operator at the center of this network. There is a dashboard and a human who watches it.