{"id":305,"date":"2026-06-16T08:12:13","date_gmt":"2026-06-16T00:12:13","guid":{"rendered":"https:\/\/aidashxp.com\/goldman-sachs-ai-capex-7-6-trillion-2026-2031\/"},"modified":"2026-06-16T08:12:13","modified_gmt":"2026-06-16T00:12:13","slug":"goldman-sachs-ai-capex-7-6-trillion-2026-2031","status":"publish","type":"post","link":"https:\/\/aidashxp.com\/en\/goldman-sachs-ai-capex-7-6-trillion-2026-2031\/","title":{"rendered":"Goldman Sachs predicts that global AI infrastructure investment will reach US$7.6 trillion from 2026 to 2031, with electricity and chips becoming the biggest bottlenecks"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Goldman Sachs recently released a blockbuster research report, \"Tracking Trillions: The Assumptions Shaping the Scale of the AI \u200b\u200bBuild-Out,\" predicting that from 2026 to 2031, cumulative capital expenditures on global AI infrastructure will reach<strong>$7.6 trillion<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How amazing are the numbers?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Goldman Sachs predicts that AI capital expenditures in 2026 will be approximately<strong>$765 billion<\/strong>, and climbs year by year to 2031<strong>$1.6 trillion\/year<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Four key variables determine whether RMB 7.6 trillion is a bubble or inevitable<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The Goldman Sachs report specifically pointed out that the market should not only focus on the revenue side (demand) of AI applications.<strong>Four variables on the supply side<\/strong>This is the key to determining whether this huge investment can be established:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Chip economic life<\/strong>: How long is the depreciation cycle of AI chips?<\/li>\n<li><strong>Data center construction costs<\/strong>: The cost of building large data centers has soared from hundreds of millions of dollars to billions of dollars, and the construction cycle has been lengthened to 2-3 years.<\/li>\n<li><strong>Power bottleneck<\/strong>\uff1a\u4e00\u4e2a\u8d85\u5927\u89c4\u6a21AI\u6570\u636e\u4e2d\u5fc3\u53ef\u80fd\u9700\u89811GW\u4ee5\u4e0a\u7684\u7535\u529b\u4f9b\u5e94\uff0c\u76f8\u5f53\u4e8e\u4e00\u5ea7\u5c0f\u578b\u57ce\u5e02\u7684\u7528\u7535\u91cf\u3002<\/li>\n<li><strong>supply chain constraints<\/strong>: From GPU to high-end network equipment, can it continue to meet the explosive growth demand?<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">What does it mean for the average user?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This US$7.6 trillion infrastructure investment will eventually be passed on to every user:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI services may continue to rise in price<\/strong>: Infrastructure costs are so high that the era of free or low-cost AI services may be drawing to a close.<a href=\"https:\/\/github.com\/features\/copilot\" target=\"_blank\" rel=\"nofollow noopener\">GitHub Copilot<\/a>Pay-as-you-go,<a href=\"https:\/\/chatgpt.com\" target=\"_blank\" rel=\"nofollow noopener\">ChatGPT<\/a>Subscription price increases are precursors.<\/li>\n<li><strong>Local AI devices may have a renaissance<\/strong>: When the cost of cloud inference remains high, local AI inference (on-device AI) promoted by Apple, NVIDIA, etc. will be more attractive.<\/li>\n<li><strong>The value of open source models is highlighted<\/strong>: Enterprises may prefer to use an open source model for on-premises deployments to avoid the ongoing costs of cloud APIs.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">What should investors watch?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Goldman Sachs recommends investors closely monitor three indicators:<strong>Chip depreciation cycle<\/strong>(Whether there are signs of accelerated replacement),<strong>Power expansion progress<\/strong>(Can the power grid transformation keep up?), and<strong>Real revenue growth from AI applications<\/strong>(You can\u2019t just look at the number of users, but paid conversions).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Summarize<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI infrastructure is becoming the largest single industry investment direction in human history.<strong>Without electricity, chips, and data centers, no matter how powerful the AI \u200b\u200bis, it can only remain in papers.<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">focus on <a href=\"https:\/\/aidashxp.com\/en\/\">AI Dash<\/a>, discover the most noteworthy AI tools and industry trends.<\/p>","protected":false},"excerpt":{"rendered":"<p>\u9ad8\u76db\uff08Goldman Sachs\uff09\u8fd1\u65e5\u53d1 [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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