AI is not one industry but a layered system of energy, silicon, compute, connectivity, and models — and each layer requires a different form of capital. Part 3 of *The Architecture of Capital* examines why AI leadership depends not simply on how much capital a system has, but on whether its architecture can produce, regenerate, and sustain the right capital at the right duration.

Layered AI infrastructure architecture showing the physical foundations of the AI era. Energy, semiconductors, compute, connectivity, and governance form the underlying system that determines technological capability, strategic leverage, and long-term control. The visual illustrates how infrastructure—not software—has become the primary constraint shaping the future of AI.

AI is no longer primarily a software story. Energy, compute, semiconductors, connectivity, and governance are becoming the defining constraints of the AI era. Infrastructure—not applications—will determine who holds leverage in the decade ahead.