
This Week in Business
Bringing together top leaders, innovators and renowned faculty from the Wharton School of the University of Pennsylvania discussing topics that matter to consumers and the business world. Hosted on Acast. See acast.com/privacy for more information.
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Burcu Esmer, Senior Lecturer in Finance at the Wharton School and Co-Director of the Harris Family Alternative Investment Program, joins to discuss Electronic Arts’ proposed $55 billion acquisition involving Silver Lake, Affinity Partners, and the Saudi Public Investment Fund—exploring its implications for private equi
David Zaring, Wharton Professor of Legal Studies and Business Ethics, explores the legal complexities, historical precedents, and potential reforms shaping the Federal Reserve’s independence as tensions grow between central bank autonomy and presidential authority. Hosted on Acast. See acast.com/privacy for more inform
Stefano Puntoni, Wharton Marketing Professor and Co-Director of Wharton Human AI Research, explores the latest developments in artificial intelligence, including massive vertical integration deals, high-profile copyright settlements, and new frontiers in synthetic data that are transforming how businesses understand co
Jeremy Siegel, Professor Emeritus of Finance at the Wharton School and Senior Economist at WisdomTree, discusses the Federal Reserve’s latest rate cuts, divisions within monetary policy, inflation and employment trends, and how artificial intelligence is shaping long-term economic growth and market performance. Hosted
Cait Lamberton, Wharton School Vice Dean and Professor of Marketing, explains how businesses can balance enthusiasm for new technologies, such as AI, with historical lessons, market fundamentals, and strategic analysis to identify sustainable innovation and avoid costly missteps. Hosted on Acast. See acast.com/privacy
Kent Smetters, Faculty Director of the Penn Wharton Budget Model and Professor of Business Economics and Public Policy at the Wharton School, explores the potential impacts of artificial intelligence on productivity, GDP, and federal debt, offering data-driven insights that challenge assumptions about AI as a fiscal so