This Week in Business

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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