Hyperscaling’s Hidden Challenge: The Hardware Between Power, Processors And People

The rapid growth in AI usage, exemplified by ChatGPT's 1 billion monthly users, demands massive expansion in physical infrastructure like data centers, power, and cooling systems. While chips and models get most attention, the manufacturing and deployment of hardware components such as racks and power systems are critical bottlenecks in scaling AI capacity. Industry investment is projected to reach nearly $1 trillion by 2027, raising concerns about whether manufacturing can keep pace with AI's