Digging into the Bottlenecks of the AI Build-Out

The analysis identifies key constraints slowing AI infrastructure expansion, including chip supply, energy availability, and data center construction timelines. These bottlenecks threaten to delay large-scale model training and deployment. Investors and builders must account for these physical and logistical limits when planning AI projects.