Capital Structure Maps

AI Power Demand and Grid Modernization explains how AI growth is shifting from a chip story into an electricity, grid, and infrastructure story.

AI Capital Cycle and Rotation explains how AI investment begins with capex buildout and later broadens through capital rotation across the stack.

AI Automation Robotics marks the shift from software systems to physical deployment through automation and humanoid robotics.

AI scaling is increasingly constrained by memory bandwidth, not just compute power.

A structural map showing how data centers integrate power, cooling, compute, and connectivity to enable large-scale AI systems.

A structural map of AI networking and interconnect infrastructure, covering switching, optical systems, interconnect technologies, and data center integration.

A structural map of the AI compute supply chain, showing how accelerators, advanced packaging, memory systems, and server infrastructure enable large-scale AI deployment.

The expansion of AI systems is ultimately constrained by electricity infrastructure. While most discussions focus on chips and models, the scaling of AI depends first on the ability to generate, transmit, and distribute power to data centers. Electricity → Power Infrastructure → Data Centers → Compute → AI Systems

AI and robotics expansion follows a physical constraint chain: electricity, compute, infrastructure, perception, actuation, and applications.