
How AI Debt Is Reshaping Credit Markets
Goldman Sachs... · 25:22 · 7,156 plays
From the album Exchanges
Description
Credit markets are playing a growing role in the buildout of artificial intelligence, with nearly $500 billion of AI-related debt issuance so far in 2026, according to estimates from Goldman Sachs Research. Amanda Lynam, head of credit strategy research, and Zach Ablon, head of the credit sales desk in Global Banking & Markets, discuss why cash-rich tech giants are turning to bond markets, the potential risks for institutional investors, and how alternative financing channels—including private credit, infrastructure funds, and high-yield markets—are being used to fill the funding gap. This episode was recorded on Monday, August 3, 2026. The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates. The material provided is intended for informational purposes only, and does not constitute investment advice, a recommendation from any Goldman Sachs entity to take any particular action, or an offer or solicitation to purchase or sell any securities or financial products. This material may contain forward-looking statements. Past performance is not indicative of future results. Neither Goldman Sachs nor any of its affiliates make any representations or warranties, express or implied, as to the accuracy or completeness of the statements or information contained herein and disclaim any liability whatsoever for reliance on such information for any purpose. Each name of a third-party organization mentioned is the property of the company to which it relates, is used here strictly for informational and identification purposes only and is not used to imply any ownership or license rights between any such company and Goldman Sachs. A transcript is provided for convenience and may differ from the original video or audio content. Goldman Sachs is not responsible for any errors in the transcript. This material should not be copied, distributed, published, or reproduced in whole or in part or d
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