The Outlook for Data Center Power Demand as AI Token Use Grows

Global data center power demand could rise 170% by 2030 from 2025 levels according to Goldman Sachs Research’s Brian Singer and Carly Davenport. They joined hosts Allison Nathan and George Lee on the Goldman Sachs Exchanges podcast to  discuss how data centers will source that power, the key bottlenecks, and the impact of growing pushback from some local communities.  Key takeaways:  The rise in power demand from AI more broadly is forecast to be the equivalent of adding another Japan to the world’s power consumption by 2030 compared to the start of 2024.  Goldman Sachs Research sees seven key binding constraints for data center power today including price, policy, and people. Delays for connecting data centers to regional US power grids are as long as seven years.  The Mid-Atlantic region should remain the largest US data center power market until at least 2030, but the Midwest is set to overtake Texas for second place.   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 disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at http://www.gs.com/research/hedge.html. © 2026 Goldman Sachs. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

Key takeaways: The "demo versus product" gap:  An AI demo is judged on its best day, but an institutional-grade product is judged on its worst. Building reliable financial tools requires rigorous, auditable grounding frameworks to avoid hallucinations and ensure every output can be traced back to a verified source. Don't bet against the model:  Developers should avoid wasting resources on complex workarounds for temporary constraints on models that are evolving rapidly. Instead, they should focus on elements that models cannot natively learn: details specific to the firm, such as proprietary data or how data sets are connected to each other. Tackling legacy constraints: Successful innovation lies in redesigning workflows from first principles rather than simply automating legacy bottlenecks to do the same tasks faster. In this episode of Goldman Sachs Exchanges, Chris Churchman, head of Marquee, Goldman Sachs’ digital platform for institutional and corporate clients, talks about building effective artificial intelligence (AI) products for institutional investors. Churchman, who is also co-chair of the Global Banking & Markets AI Working Group, describes an ongoing shift from a world where users must learn software to one where software learns the user. He tells hosts Allison Nathan of Goldman Sachs Research and George Lee, co-head of the Goldman Sachs Global Institute, about the challenges of grounding generative AI in hard facts, and emphasizes the need to design systems that enhance human reasoning rather than outsourcing critical thinking to machines. 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, legal, or tax advice, a recommendation from any Goldman Sachs entity to take any particular action or be used as a basis for any other investment decision, or an offer or solicitation to purchase or sell any securities or financial products. Any forward-looking statements, case studies, computations or examples set forth herein are for illustrative purposes only. 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 sponsorship, affiliation, endorsement, ownership or license rights between any such company and Goldman Sachs. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of Goldman Sachs.   Disclosures applicable to information relating to Goldman Sachs Global Banking & Markets, if any, mentioned herein, are available: https://www.goldmansachs.com/disclaimer/salesandtrading Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at http://www.gs.com/research/hedge.html.   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.   Date of Recording August 11, 2026 © 2026 Goldman Sachs. All rights reserved.   Learn more about your ad choices. Visit megaphone.fm/adchoices

Jean Hynes, CEO of Wellington Management, has more than 35 years of experience at the firm. But she spends most of her time looking ahead, trying to envision what the world might look like in a decade and building portfolios around nascent opportunities. In an interview with Goldman Sachs’ Alison Mass on the Great Investors podcast, Hynes discusses innovation in the biopharma sector, how Wellington is using AI, and her path to the C-Suite.   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, legal, or tax advice, a recommendation from any Goldman Sachs entity to take any particular action or be used as a basis for any other investment decision, or an offer or solicitation to purchase or sell any securities or financial products. Any forward-looking statements, case studies, computations or examples set forth herein are for illustrative purposes only. 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 sponsorship, affiliation, endorsement, ownership or license rights between any such company and Goldman Sachs. This material should not be copied, distributed, published, or reproduced in whole or in part or disclosed by any recipient to any other person without the express written consent of 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.   Date of Recording: July 20, 2026 © 2026 Goldman Sachs. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

The US and Japan coordinated on the biggest currency market intervention in 15 years, helping to stabilize a weakening yen. Karen Fishman, senior FX strategist in Goldman Sachs Research, and Praneet Shah, global head of FX options trading in Global Banking & Markets, discuss why the US joined the action, why the yen still appears undervalued, and whether another intervention might follow. Key takeaways:  The scale of Japan’s intervention was historic, but the US role was symbolic.  Japan's operation, estimated to be worth up to $85 billion over July 30 and July 31, was its largest two-day intervention on record outside of October 2011. The US leg was much smaller, but pushed the yen further by signaling the US’ willingness to help.  Washington's involvement was likely aimed at limiting volatility in US markets. The timing of US support coincided with some volatility in US interest rates, in addition to other factors.  Intervention may buy time, but it is a short-term measure. In the longer term, policy measures convincing Japanese investors to shift back towards Japanese assets could help reverse the yen's low valuation.  This episode was recorded on August 10, 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 disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at ⁠http://www.gs.com/research/hedge.html⁠ Goldman Sachs does not endorse any candidate or any political party. Learn more about your ad choices. Visit megaphone.fm/adchoices

Goldman Sachs President John Waldron speaks with Steven Tananbaum, CIO of GoldenTree Asset Management, about how GoldenTree became a credit-focused asset manager overseeing $70 billion. They discuss how credit markets have evolved during Tananbaum’s career, his framework for analyzing investments, and how financing for artificial intelligence is affecting credit markets.  This episode was recorded on July 23, 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 disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at ⁠http://www.gs.com/research/hedge.html⁠ Goldman Sachs does not endorse any candidate or any political party. Copyright 2026. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

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 disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at ⁠http://www.gs.com/research/hedge.html⁠ Goldman Sachs does not endorse any candidate or any political party. Copyright 2026. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

US IPO issuance has surged to a record high in 2026. But this resurgence raises two concerns for the equity market: whether it is flashing a late-cycle warning sign and whether the market can digest so much new issuance. Jay Ritter of The IPO Initiative and Owen Lamont of Acadian Asset Management discuss whether the IPO surge is a red flag for markets. This episode explores the latest Top of Mind report. This episode was recorded on July 8, 15, and 23, 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 disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at ⁠http://www.gs.com/research/hedge.html⁠ Goldman Sachs does not endorse any candidate or any political party. Copyright 2026. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

As a newly installed chairman takes the helm of the Federal Reserve, US monetary policy remains uncertain amid a soft inflation print and escalating tensions in the Middle East. David Mericle, chief US economist in Goldman Sachs Research, forecasts the Fed to keep interest rates unchanged this year before cutting its policy rate in 2027. He also unpacks the factors driving US inflation, highlights the surprising resilience of the US labor market, and explains why he expects US GDP to expand around 2% this year.  Recorded on July 20, 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 disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at ⁠http://www.gs.com/research/hedge.html⁠ Goldman Sachs does not endorse any candidate or any political party. Copyright 2026. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

Falling launch costs, innovations, and AI are fuelling a space economy that could reach $1 trillion by the 2040s, according to Michael Tarulli and Erik Sparks in Goldman Sachs Investment Banking. The key driver: launch costs have plunged sharply, opening up access to space and enabling new frontiers of commercial activity. The shift is creating new potential opportunities as well as risks for investors. To learn more about the impact of AI on space, satellites, and other industrial sectors, read Harnessing AI for the Real Economy.  Recorded on July 7, 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 disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at ⁠http://www.gs.com/research/hedge.html⁠ Goldman Sachs does not endorse any candidate or any political party. Copyright 2026. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ken Griffin, the founder and CEO of Citadel, expects agentic artificial intelligence (AI) to enable a “golden age” of entrepreneurship and eliminate some corporate moats, even as the cost of using AI creates a deep moat around other companies. And while some jobs may be replaced by technology, Griffin says he has found that productivity increases from AI have, instead of reducing headcount, allowed his company to pursue new opportunities.   Griffin shares his views on geopolitical tensions between the US and China, the need for domestic data center construction in the US, and a range of other factors rippling through global markets in this episode of Goldman Sachs Exchanges: Great Investors, recorded at Goldman Sachs's Apex Symposium.  This episode was recorded on June 2, 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 disclosed by any recipient to any other person without the express written consent of Goldman Sachs. Disclosures applicable to research with respect to issuers, if any, mentioned herein are available through your Goldman Sachs representative or at ⁠http://www.gs.com/research/hedge.html⁠ Goldman Sachs does not endorse any candidate or any political party. Views of the interviewee do not necessarily reflect the views of Goldman Sachs.  Copyright 2026. All rights reserved. Learn more about your ad choices. Visit megaphone.fm/adchoices