Global AI infrastructure is undergoing a profound transformation, with tech giants like Meta, xAI, and SoftBank renting out computing capacity while Blackstone halted a data center project exceeding $100 billion in Virginia due to power shortages, community opposition, and regulatory hurdles. xAI alone generates over $2.1 billion in monthly cash flow by leasing computing power to Anthropic and Google. In July 2026, Meta Platforms announced a cloud infrastructure business to sell AI computing power and model access, causing its stock to soar nearly 9% in a single day, adding roughly $127 billion in market capitalization. This move triggered a shock, with compute leasing players like CoreWeave and Nebius seeing shares plummet over 13%, while memory chip giants Micron Technology, SK Hynix, and Samsung Electronics faced broad pressure. Meta's 2026 capital expenditure guidance ranges from $125 billion to $145 billion, mostly for data centers and GPU procurement. The divergence signals an industry shift from reckless expansion to efficiency-driven growth, with high-end computing power still in short supply but physical bottlenecks like electricity and permits replacing chip shortages as the biggest constraint. Major players like OpenAI and Meta are accelerating in-house chip development to reduce dependence on Nvidia.