{"id":4986,"date":"2026-07-24T19:15:12","date_gmt":"2026-07-24T19:15:12","guid":{"rendered":"https:\/\/www.finznest.com\/blog\/ai-spending-threatens-credit-quality-of-amazon-meta-alphabet\/"},"modified":"2026-07-24T19:15:12","modified_gmt":"2026-07-24T19:15:12","slug":"ai-spending-threatens-credit-quality-of-amazon-meta-alphabet","status":"publish","type":"post","link":"https:\/\/www.finznest.com\/blog\/ai-spending-threatens-credit-quality-of-amazon-meta-alphabet\/","title":{"rendered":"AI spending threatens credit quality of Amazon, Meta, Alphabet"},"content":{"rendered":"<div id=\"RegularArticle-ArticleBody-5\" data-module=\"ArticleBody\" data-test=\"articleBody-2\" data-analytics=\"RegularArticle-articleBody-5-2\"><span class=\"HighlightShare-hidden\" style=\"top:0;left:0\"\/><\/p>\n<div class=\"InlineImage-imageEmbed\" id=\"ArticleBody-InlineImage-108297139\" data-test=\"InlineImage\">\n<div class=\"InlineImage-wrapper\">\n<div>\n<p>Sundar Pichai, CEO of Alphabet, Satya Nadella, CEO of Microsoft, Andy Jassy, CEO of Amazon and Mark Zuckerberg, CEO of Meta.<\/p>\n<p>Damian Lemanski | David Ryder | Bloomberg | Getty Images | CNBC | Manuel Orbegozo | Reuters<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"group\">\n<p>The race to build artificial intelligence infrastructure at a trillion-dollar annual clip is eroding the free cash flow and increasing balance-sheet risk at so-called hyperscalers, warned Moody&#8217;s Ratings.<\/p>\n<p>In a research note released this week, Moody&#8217;s said that the spending surge is forcing even the world&#8217;s most cash-rich corporations like <span class=\"QuoteInBody-quoteNameContainer\" data-test=\"QuoteInBody\" id=\"RegularArticle-QuoteInBody-2\">Alphabet<span class=\"QuoteInBody-inlineButton\"><span class=\"AddToWatchlistButton-watchlistContainer\" id=\"-WatchlistDropdown\" data-analytics-id=\"-WatchlistDropdown\"><button class=\"AddToWatchlistButton-watchlistButton\" aria-label=\"Add To Watchlist\" data-testid=\"dropdown-btn\"><span class=\"AddToWatchlistButton-addWatchListFromTag\"\/><\/button><\/span><\/span><\/span> and <span class=\"QuoteInBody-quoteNameContainer\" data-test=\"QuoteInBody\" id=\"RegularArticle-QuoteInBody-3\">Microsoft<span class=\"QuoteInBody-inlineButton\"><span class=\"AddToWatchlistButton-watchlistContainer\" id=\"-WatchlistDropdown\" data-analytics-id=\"-WatchlistDropdown\"><button class=\"AddToWatchlistButton-watchlistButton\" aria-label=\"Add To Watchlist\" data-testid=\"dropdown-btn\"><span class=\"AddToWatchlistButton-addWatchListFromTag\"\/><\/button><\/span><\/span><\/span> to lean heavily on debt, stock sales and off-balance-sheet moves to fund their AI ambitions.<\/p>\n<p>&#8220;Previously, these companies relied on asset-light structures centered on software, intellectual property, and scalable cloud services that required modest capital investment,&#8221; Moody&#8217;s said in the Wednesday note. &#8220;The transition from asset-light to asset-heavy models requires unprecedented levels of investment and capital raising.&#8221;<\/p>\n<p>The moves &#8220;threaten credit quality&#8221; for the six companies tracked by Moody&#8217;s, which include Microsoft, <span class=\"QuoteInBody-quoteNameContainer\" data-test=\"QuoteInBody\" id=\"RegularArticle-QuoteInBody-4\">Amazon<span class=\"QuoteInBody-inlineButton\"><span class=\"AddToWatchlistButton-watchlistContainer\" id=\"-WatchlistDropdown\" data-analytics-id=\"-WatchlistDropdown\"><button class=\"AddToWatchlistButton-watchlistButton\" aria-label=\"Add To Watchlist\" data-testid=\"dropdown-btn\"><span class=\"AddToWatchlistButton-addWatchListFromTag\"\/><\/button><\/span><\/span><\/span>, Alphabet, <span class=\"QuoteInBody-quoteNameContainer\" data-test=\"QuoteInBody\" id=\"RegularArticle-QuoteInBody-5\">Meta,<span class=\"QuoteInBody-inlineButton\"><span class=\"AddToWatchlistButton-watchlistContainer\" id=\"-WatchlistDropdown\" data-analytics-id=\"-WatchlistDropdown\"><button class=\"AddToWatchlistButton-watchlistButton\" aria-label=\"Add To Watchlist\" data-testid=\"dropdown-btn\"><span class=\"AddToWatchlistButton-addWatchListFromTag\"\/><\/button><\/span><\/span><\/span> <span class=\"QuoteInBody-quoteNameContainer\" data-test=\"QuoteInBody\" id=\"RegularArticle-QuoteInBody-6\">Oracle<span class=\"QuoteInBody-inlineButton\"><span class=\"AddToWatchlistButton-watchlistContainer\" id=\"-WatchlistDropdown\" data-analytics-id=\"-WatchlistDropdown\"><button class=\"AddToWatchlistButton-watchlistButton\" aria-label=\"Add To Watchlist\" data-testid=\"dropdown-btn\"><span class=\"AddToWatchlistButton-addWatchListFromTag\"\/><\/button><\/span><\/span><\/span> and <span class=\"QuoteInBody-quoteNameContainer\" data-test=\"QuoteInBody\" id=\"RegularArticle-QuoteInBody-7\">CoreWeave,<span class=\"QuoteInBody-inlineButton\"><span class=\"AddToWatchlistButton-watchlistContainer\" id=\"-WatchlistDropdown\" data-analytics-id=\"-WatchlistDropdown\"><button class=\"AddToWatchlistButton-watchlistButton\" aria-label=\"Add To Watchlist\" data-testid=\"dropdown-btn\"><span class=\"AddToWatchlistButton-addWatchListFromTag\"\/><\/button><\/span><\/span><\/span> according to the report.<\/p>\n<p>The ratings firm projects that capital expenditures \u2014 or capex, which are investment for physical assets like data centers \u2014 will hit $785 billion in 2026 before reaching about $1 trillion next year.<\/p>\n<p>The shift breaks a decades-long Silicon Valley formula that created the world&#8217;s most valuable companies. Software costs little to replicate, yielding fat profit margins and fortress balance sheets. Generative AI, by contrast, demands a vast physical footprint: warehouses crammed with expensive and energy-hungry servers and chips.<\/p>\n<p>To finance the expansion, tech giants are increasingly turning to Wall Street, resulting in booming profits for the financial industry. <\/p>\n<p>Direct debt across the six hyperscalers has reached approximately $460 billion, according to Moody&#8217;s. Tech companies are also tapping public markets for cash, including Google-parent Alphabet, which last month announced an $85 billion equity sale.<\/p>\n<\/div>\n<h2 class=\"ArticleBody-subtitle\">Leasing data centers<\/h2>\n<div class=\"group\">\n<p>The ratings firm noted that because AI hardware and infrastructure require massive upfront investment while revenue materializes over a longer time horizon, free cash flow across the sector is coming under pressure.<\/p>\n<p>To keep direct debt off their balance sheets, hyperscalers are leaning on off-balance-sheet financing, mostly through long-term data center leases, the report explained. <\/p>\n<p>Moody&#8217;s said that lease commitments across the group have ballooned to $1.2 trillion. More than $820 billion of that total is from leases that haven&#8217;t started yet, meaning the data centers are still being built.<\/p>\n<p>While these obligations don&#8217;t show up as traditional debt, Moody&#8217;s says it considers them as debt-equivalent liabilities that will bind companies to significant rent payments down the line.<\/p>\n<p>Despite the warning, Moody&#8217;s noted that Microsoft, Alphabet, Amazon and Meta retain among the strongest corporate balance sheets in the world, making it unlikely that their investment grade ratings are under imminent threat.<\/p>\n<p>The immediate pressure is concentrated on lower-rated entities like Oracle and specialized AI cloud provider CoreWeave. Oracle carries a rating of Baa2 with a negative outlook, placing it just two notches above junk status.<\/p>\n<p>Meanwhile, CoreWeave operates within the high-yield market with a Ba3 rating, relying on complex private debt structures to finance its GPU hardware fleets.<\/p>\n<\/div>\n<h2 class=\"ArticleBody-subtitle\">Circular ecosystem <\/h2>\n<div class=\"group\">\n<p>Moody&#8217;s also pointed to structural circularity within the AI boom. Some of the multibillion-dollar backlogs reported by hyperscalers stem from strategic deals with pre-IPO artificial intelligence labs including OpenAI and Anthropic, Moody&#8217;s noted.<\/p>\n<p>The firms have invested billions into AI labs that, in turn, spend heavily on cloud computing from those same companies, creating what Moody&#8217;s described as a circular AI ecosystem.<\/p>\n<p>The overlapping relationships heighten risks because many of the industry&#8217;s biggest companies are increasingly dependent on the same AI customers and the same assumptions about future demand, Moody&#8217;s said. <\/p>\n<p>Even so, the tech giants have significant strengths that help offset those risks.<\/p>\n<p>Demand for AI computing remains robust, cloud businesses continue to grow and hyperscalers have signed hundreds of billions of dollars in long-term customer contracts that should provide predictable revenue. Those deals support the industry&#8217;s largely-strong credit profiles, even amid the spending boom. <\/p>\n<p>Still, investors should recognize that the tech industry&#8217;s financial profile is undergoing a structural change unlike anything seen in the cloud era, according to Moody&#8217;s.<\/p>\n<p>&#8220;Investors will increasingly focus on these companies&#8217; ability to realize an adequate return on investment,&#8221; the ratings firm said. <\/p>\n<\/div>\n<div class=\"ArticleBody-googlePreferredSourceContainer\" data-module=\"GooglePreferredSource\" data-id=\"RegularArticle-GooglePreferredSource-5\">Choose CNBC as your preferred source on Google and never miss a moment from the most trusted name in business news.<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Sundar Pichai, CEO of Alphabet, Satya Nadella, CEO of Microsoft, Andy Jassy, CEO of Amazon and Mark Zuckerberg, CEO of Meta. Damian Lemanski | David Ryder | Bloomberg | Getty Images | CNBC | Manuel Orbegozo | Reuters The race to build artificial intelligence infrastructure at a trillion-dollar annual clip is eroding the free cash [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":4987,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[338,413,391,447,1694,1119,478],"class_list":["post-4986","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-alphabet","tag-amazon","tag-credit","tag-meta","tag-quality","tag-spending","tag-threatens"],"_links":{"self":[{"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/posts\/4986","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/comments?post=4986"}],"version-history":[{"count":0,"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/posts\/4986\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/media\/4987"}],"wp:attachment":[{"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/media?parent=4986"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/categories?post=4986"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.finznest.com\/blog\/wp-json\/wp\/v2\/tags?post=4986"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}