Wharton's Herbert Hovenkamp and Hemant Bhargava of UC Davis discuss the AT&T-Time Warner merger.

Subscribe wherever you listen to your podcasts.

Until very recently, it seemed that telecommunications giant AT&T’s $85 billion deal to purchase Time Warner  would be completed by the end of December. But last week, the U.S. Department of Justice informed AT&T that it would block the deal unless it agrees to sell off one of Time Warner’s main assets — Turner Broadcasting, which includes cable news channel CNN. AT&T says it won’t sell CNN or other key assets as it attempts to acquire Time Warner, and a court battle seems likely. Wharton legal studies and business ethics professor Herbert Hovenkamp and Hemant Bhargava, a professor of technology management at the University of California-Davis, joined Knowledge at Wharton’s SiriusXM show to discuss what’s behind this sudden roadblock in a deal that could create a new media giant.

Additional coverage:

AT&T’s Time Warner Deal: Big Risk or Big Reward?

Pay TV Consolidation: Who Are the Potential Winners and Losers?

The Knowledge at Wharton SiriusXM show airs Monday through Friday, 10 a.m. – 12 p.m. EST, on Wharton Business Radio on SiriusXM channel 111.

 

 

Comments

New This Week

How Fast-Casual Brands Build Loyalty
Podcast

How Fast-Casual Brands Build Loyalty

August 13, 202631 min listen

Joel Bulger, CMO of WOWorks, discusses brand differentiation, customer personalization, loyalty, AI, and marketing across a portfolio of restaurant concepts.

The NFL’s Biggest 2026 Questions
Podcast

The NFL’s Biggest 2026 Questions

August 12, 20261 hr 9 min listen

Aaron Schatz, national NFL analyst at ESPN and chief analytics officer at FTN Fantasy, breaks down 2026 NFL projections, the teams poised to rise, and the factors that shape a season forecast.

Can AI Companies Regulate Themselves?
Podcast

Can AI Companies Regulate Themselves?

August 12, 202614 min listen

Wharton professor of legal studies and business ethics Kevin Werbach explains why AI governance is so difficult, why companies can’t be left to regulate themselves, and what governments need to do as AI becomes more powerful.