Shortage of data center capacity is becoming a critical bottleneck limiting the pace of artificial intelligence development and deployment.

Data center construction delays are slowing the infrastructure buildout needed to support expanding AI model training and inference

Supply chain constraints and construction challenges are creating a mismatch between AI demand and available computing capacity

The bottleneck threatens to limit how quickly companies can scale their AI operations and bring new models to market

Industry faces competition for limited data center resources and power availability as AI adoption accelerates