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.
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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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What do rising bond yields, new tariffs and soaring AI investment mean for the U.S. economy and financial markets?
Wharton Emeritus Professor of Finance and WisdomTree Senior Economist Jeremy Siegel joins the conversation to assess the latest economic and market developments.
Siegel discusses the impact of higher tariffs on Canada and Mexico, why rising Treasury yields are signaling concern about U.S. deficits, and why he believes Washington may eventually be forced to take action on fiscal policy.
He also weighs in on the resilience of the stock market, the extraordinary performance of AI-related companies, and what could determine whether equities reach new highs in the months ahead.
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The bond market is sending a warning to the Federal Reserve. With long-term yields climbing to levels not seen in decades, questions are mounting about the Fed’s ability to control inflation while maintaining market confidence.
Wharton Finance Professor Nikolai Roussanov explains why Kevin Warsh’s recent messaging has unsettled investors and why the Fed’s reaction function may matter more than its guidance on the path of interest rates.
Roussanov also examines the tension between monetary and fiscal policy, including whether Treasury efforts to push down long-term yields could undermine the Fed’s strategy.
As inflation, energy prices and fiscal pressures evolve, the Fed faces a critical test: preserve its 2% inflation target—or risk losing credibility with the bond market.
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What happens when the systems designed to keep our food safe start to break down?
Corinne Low, Wharton Associate Professor of Business Economics and Public Policy, argues that food safety is a public good—one that individuals and families simply can't provide for themselves.
She explains how reduced staffing, weakened inspections and changes to disease surveillance can leave consumers more vulnerable to foodborne illness.
Low also examines what happens when that responsibility gets pushed onto parents, and why trusting companies to regulate themselves isn't enough.
The result is a larger question about government, business and the basic protections consumers should be able to count on.
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AI is advancing rapidly—but who is responsible when the risks become too big to ignore?
Peter Conti-Brown, Professor at the Wharton School, explores whether the banking system offers a useful model for supervising powerful AI companies.
Rather than relying solely on rules written years in advance, bank supervision involves ongoing conversations between public officials and private institutions to identify and manage emerging risks.
Conti-Brown discusses how AI stress tests could work, what might happen if powerful models are hijacked or misused, and why consumers could ultimately end up holding the bag when things go wrong.
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Why are more young Americans turning to entrepreneurship, and what role will AI play?
Lori Rosenkopf, Vice Dean of Entrepreneurship at the Wharton School, explores how Gen Z’s shifting expectations, a tougher entry-level job market, and the desire for flexibility are reshaping career paths. She also examines how AI tools are making it easier to turn ideas into products while intensifying competition, and what venture capital, failure, the creator economy, and programs like VentureLab can teach aspiring founders.
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As AI becomes more powerful, who should be responsible for governing it?
Kevin Werbach, Wharton Professor and Chair of Legal Studies and Business Ethics, explores the growing challenges of AI governance, from accountability and safety to the difficulty of creating effective regulations across countries. He explains why AI companies can't be expected to regulate themselves and why governments need to play a more constructive role in managing the risks of increasingly powerful AI.
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What happens to your 401(k) if the stock market drops 25%, and would the government step in to help?
Nikolai Roussanov, finance professor at the Wharton School, explains the real risks behind modern retirement investing and why volatility is built into the system.
From the 1987 crash to COVID-19, he breaks down how markets recover, why long term investors tend to win, and why bailouts are more likely to support companies, not individual portfolios. If you’re relying on a 401(k), this episode will reshape how you think about risk, recovery, and protection.
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Artificial intelligence is reshaping work, but human ideas remain essential.
Henning Piezunka, Associate Professor of Management at the Wharton School, explains how organizations can combine AI with collective intelligence to accelerate innovation, improve learning, and help employees turn ideas into action.
He also explores AI’s role as a substitute, collaborator, and training tool, along with the business case for adoption and the organizational changes leaders will need to make.
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Could rising oil prices, interest-rate uncertainty, and massive AI spending change the market outlook?
Jeremy Siegel, Wharton Emeritus Professor of Finance, examines how energy supply disruptions could affect inflation and growth, what the Federal Reserve may do next on interest rates, why Wall Street is scrutinizing AI infrastructure spending, and how tariffs and demographic change could shape the broader economy.
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Prediction markets are becoming an increasingly visible part of sports, politics, business, and culture. But what makes them different from traditional betting?
Abraham Wyner, Wharton Professor of Statistics and Data Science and Co-Director of the Wharton Sports Analytics and Business Initiative, explains the wisdom-of-crowds theory behind prediction markets, how these platforms make money, and why their structure creates a different relationship between bettors and the market. He also examines regulation, the risks of gambling, and whether prediction markets and sportsbooks can continue growing alongside one another.
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