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The $690 Billion Bet: Inside the 2026 AI Infrastructure Sprint That Is Rewriting Global Power Grids | Nonce Media

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The numbers stopped sounding real sometime around the third consecutive quarter of upward revisions. Amazon has guided to $200 billion in total capex for 2026, the bulk of it datacenter. Alphabet is spending between $175 billion and $185 billion. Meta has committed $115 billion to $135 billion. Microsoft has earmarked roughly $80 billion. Add the hyperscaler second tier, colocation giants, sovereign wealth fund plays, and the wave of AI-native infrastructure companies, and Bloomberg New Energy Finance now puts total AI datacenter investment at close to $750 billion this year alone. That is more than the combined GDP of Portugal and New Zealand. And the physical world is beginning to buckle under the weight of it. For the first two years of the generative AI cycle, the capital story was almost entirely about training. Frontier labs needed enormous clusters to push model capabilities forward, and the cost of a single training run for a frontier model crossed $100 million with some estima

Key Facts Amazon guided to $200 billion total capex for 2026, with the bulk allocated to datacenters. Bloomberg New Energy Finance estimates total AI datacenter investment at close to $750 billion in 2026. The five largest hyperscalers guided toward combined 2026 capex of roughly $630-690 billion for AI datacenters. Datacenter IT capacity under construction globally now exceeds 23 gigawatts, with grid interconnection queues running three to seven years. SemiAnalysis estimated that inference consumes roughly five to seven times more aggregate compute than training across the industry. Market da

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