{"id":73582,"date":"2026-10-25T15:38:12","date_gmt":"2026-10-25T19:38:12","guid":{"rendered":"https:\/\/www2.stockmarketwatch.com\/stock-market-news\/aws-cloud-capacity-fully-booked-through-2027-as-ai-demand-surges\/73582\/"},"modified":"2026-10-25T15:38:12","modified_gmt":"2026-10-25T19:38:12","slug":"aws-cloud-capacity-fully-booked-through-2027-as-ai-demand-surges","status":"publish","type":"post","link":"https:\/\/www2.stockmarketwatch.com\/stock-market-news\/aws-cloud-capacity-fully-booked-through-2027-as-ai-demand-surges\/73582\/","title":{"rendered":"AWS Cloud Capacity Fully Booked Through 2027 as AI Demand Surges"},"content":{"rendered":"<h2>Key Takeaways<\/h2>\n<ul>\n<li><strong>AWS has fully booked its cloud computing capacity through 2026<\/strong>, with most of 2027 and a significant portion of 2028 already reserved by major AI labs and enterprise customers.<\/li>\n<li><strong>Amazon (<a href=\"\/stock\/AMZN\">AMZN<\/a>) is raising its 2026 capital expenditure forecast to $220 billion<\/strong>, a massive investment aimed at expanding data center infrastructure and custom silicon production.<\/li>\n<li><strong>CEO Andy Jassy indicated that supply is failing to keep pace with demand<\/strong>, noting that the company could &quot;invest a lot more&quot; without it being a &quot;bad use of capital&quot; due to the voracious appetite for AI workloads.<\/li>\n<li><strong>The bottleneck extends beyond hardware<\/strong>, with Jassy citing critical shortages in data center space, electrical power, and specialized high-bandwidth memory (HBM) as persistent constraints through at least 2027.<\/li>\n<\/ul>\n<p>Amazon (<a href=\"\/stock\/AMZN\">AMZN<\/a>) CEO <strong>Andy Jassy<\/strong> revealed that the company\u2019s cloud division, <strong>Amazon Web Services (AWS)<\/strong>, is facing an unprecedented supply-demand imbalance. Speaking in a recent interview, Jassy confirmed that <strong>AWS capacity is effectively sold out through 2027<\/strong> for large-scale commitments, as artificial intelligence (AI) developers and global enterprises race to secure the computing power necessary for model training and inference.<\/p>\n<p>The surge in demand has forced Amazon (<a href=\"\/stock\/AMZN\">AMZN<\/a>) to scale its infrastructure investments to historic levels. The company now plans to spend approximately <strong>$220 billion on capital expenditures in 2026<\/strong>, primarily focused on building out <strong>AI-ready data centers<\/strong> and expanding its custom chip lines, including <strong>Trainium<\/strong> and <strong>Graviton<\/strong>. Despite this record spending, Jassy noted that the company still expects to fall short of meeting all incoming demand in the near term.<\/p>\n<p>Market analysts highlight that the shift from AI model training to <strong>inference<\/strong>\u2014the phase where models are deployed to respond to user prompts\u2014is driving a more recurring and steady stream of revenue for AWS. In its most recent quarter, <strong>AWS revenue grew 37% year-over-year to $42.2 billion<\/strong>, its fastest growth rate in 18 quarters. This acceleration is being fueled by &quot;barbell&quot; demand: massive consumption from frontier AI labs like <strong>Anthropic<\/strong> and <strong>OpenAI<\/strong> on one end, and a growing wave of enterprise &quot;agentic AI&quot; applications on the other.<\/p>\n<p>While AWS continues to reserve some capacity for its on-demand services like <strong>Amazon EC2<\/strong> and the <strong>Amazon Bedrock<\/strong> AI platform, the &quot;big chunks&quot; of dedicated capacity are increasingly spoken for years in advance. This long-term visibility into commitments provides a stable growth outlook for Amazon (<a href=\"\/stock\/AMZN\">AMZN<\/a>), even as it navigates the physical constraints of the global supply chain, including <strong>power grid limitations<\/strong> and <strong>semiconductor shortages<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key Takeaways AWS has fully booked its cloud computing capacity through 2026, with most of 2027 and a significant portion 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