OpenAI's enterprise data center expansion plans have hit a snag—infrastructure buildout now pushed to 2028. This matters more than it sounds. Why? Because computational capacity directly impacts everything from AI model training costs to blockchain validation networks. The delay signals potential tightness in hardware supply chains and energy infrastructure, factors that inevitably ripple through Web3 ecosystems. When tier-one AI infrastructure faces delays, competing demands for GPU clusters and power resources intensify across industries. For crypto participants tracking macro trends, this is another data point showing how tech infrastructure constraints could shape market dynamics over the next few years. Whether it's GPU availability for AI projects or energy costs affecting mining operations, these real-world bottlenecks matter more than most realize.