S&P Global Ratings published a new report analyzing how leading technology firms are financing their rapid artificial in

NEW YORK, Aug. 27, 2026 /PRNewswire/ -- S&P Global Ratings released new research examining how the world's largest hyperscalers are financing rapid AI infrastructure expansion and the implications for future credit quality. The report, titled "S&P Global Ratings' View On Artificial Intelligence And Hyperscalers," explores how Alphabet, Amazon, Microsoft, Meta, Oracle and SpaceX are funding this investment cycle. Naveen Sarma, Managing Director and Sector Lead at S&P Global Ratings, said, "As AI infrastructure investment accelerates, the focus is expanding beyond the scale of spending to the funding models, financial commitments and long-term implications that accompany it. Understanding how these investments are financed and managed will be increasingly important in assessing credit quality across the sector." Consistent with its mission of bringing transparency to credit markets, S&P Global Ratings will continue to analyze the investment, financing, and monetization trends shaping the AI ecosystem and their implications for credit quality. The report does not constitute a rating action. For more information and to read the full report visit S&P Global Ratings' Artificial Intelligence webpage. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. Our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction.