How do you balance near-term energy priorities with the long-term reality of climate change and nature loss? That's the big sustainability question we're asking in 2026, and in today's episode of the All Things Sustainable podcast, we sit down with Daniel Yergin to explore the answer. Daniel is a Pulitzer Prize winner, S&P Global Vice Chairman, and Chair of CERAWeek, the annual S&P Global conference that has been described as "the Davos of energy." Daniel tells us what to expect when leaders from the public and private sectors convene in Houston, Texas March 23-27 for CERAWeek 2026. This year's theme is Convergence and Competition: Energy, Technology and Geopolitics, and the conference will focus on many of the key issues we're watching through a sustainability lens this year, including AI, electrification, climate and critical minerals. Daniel explains how geopolitical fracture and economic competition are reshaping the landscape for all these topics. "What we're seeing is the fragmentation, the end of the kind of globalization that we've known for the last three and a half decades," Daniel says. "How are people arranging their priorities when the agenda is more complex?" Read S&P Global's Top 10 Sustainability Trends to Watch in 2026 | S&P Global Read CERAWeek 2025 Key Takeaways for Sustainability Professionals Read Copper in the Age of AI: Challenges of Electrification | S&P Global Learn more about CERAWeek by S&P Global | The World's Premier Energy Conference | CERAWeek Copyright ©2026 by S&P Global DISCLAIMER By accessing this Podcast, I acknowledge that S&P GLOBAL makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast. The information, opinions, and recommendations presented in this Podcast are for general information only and any reliance on the information provided in this Podcast is done at your own risk. Any unauthorized use, facilitation or encouragement of a third party's unauthorized use (including without limitation copy, distribution, transmission or modification, use as part of generative artificial intelligence or for training any artificial intelligence models) of this Podcast or any related information is not permitted without S&P Global's prior consent subject to appropriate licensing and shall be deemed an infringement, violation, breach or contravention of the rights of S&P Global or any applicable third-party (including any copyright, trademark, patent, rights of privacy or publicity or any other proprietary rights). This Podcast should not be considered professional advice. Unless specifically stated otherwise, S&P GLOBAL does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this Podcast, and information from this Podcast should not be referenced in any way to imply such approval or endorsement. The third party materials or content of any third party site referenced in this Podcast do not necessarily reflect the opinions, standards or policies of S&P GLOBAL. S&P GLOBAL assumes no responsibility or liability for the accuracy or completeness of the content contained in third party materials or on third party sites referenced in this Podcast or the compliance with applicable laws of such materials and/or links referenced herein. Moreover, S&P GLOBAL makes no warranty that this Podcast, or the server that makes it available, is free of viruses, worms, or other elements or codes that manifest contaminating or destructive properties. S&P GLOBAL EXPRESSLY DISCLAIMS ANY AND ALL LIABILITY OR RESPONSIBILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL OR OTHER DAMAGES ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE, THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST.
