The Infrastructure Thesis

The early phase of the AI boom rewarded technology companies. Chip designers, cloud platforms, and software firms captured most of the attention and capital. Companies that built GPUs, developed AI models, or provided cloud computing infrastructure became the central players of the first wave. But as AI infrastructure expands, the distribution of value begins to change. Large-scale AI systems require enormous physical resources. Training and operating advanced AI models is not just a software challenge. It is also a problem of electricity, hardware, cooling, and physical infrastructure. Electricity must be generated and delivered. Data centers must be constructed and connected to the grid. Cooling systems must remove massive amounts of heat produced by thousands of servers operating simultaneously. Networking equipment must move enormous volumes of data between machines. Semiconductor manufacturing capacity must expand to supply the chips required by these systems. These indus...