The physical reality beneath the empowerment narrative: chip fabs in Hsinchu, data centers in Iowa, GPU clusters, undersea cables, and trained models representing the extracted intellectual labor of millions — owned and governed by a handful of corporations.
Infrastructure concentration names the material substrate that the AI democratization narrative systematically omits. The builder celebrated for unprecedented productive capability operates atop an infrastructure whose ownership is more concentrated than any comparable infrastructure in modern history. Chip fabrication plants costing tens of billions of dollars. Data centers consuming electricity at rates comparable to small cities. GPU clusters designed by a handful of companies. Cooling systems consuming millions of gallons of water. And the trained models themselves — proprietary intellectual property representing billions of dollars in computation and the extracted, uncompensated intellectual labor of millions of human beings.
Infrastructure Concentration
In The You On AI Field Guide
Morozov's historical framework draws on the well-documented trajectory of previous critical infrastructures. Railroads, telephone networks, and electrical grids all followed a recognizable pattern: initial private development, rapid concentration, emergence of critical dependency, eventual imposition of democratic governance through regulation or public utility designation. In each case, the democratic response was resisted by