Show Notes
Janice Min and Reed Duchscher are both building new media companies in LA. But their perspectives are quite different: Min runs The Ankler, the trade pub that mostly focuses on the fate of Big Media companies like Paramount and Netflix; Duchscher runs Night, a talent agency focused on digital talent like Kai Cenat and Hassan Piker (he’s best known for his work with Mr. Beast).So it’s not totally shocking that my conversation with Min is a pretty downbeat chat about the state of the industry — LA, she says, currently has “a Detroit Vibe”. And that my chat with Duchscher is more upbeat — he just raised $70 million to build out his business.But there’s still a lot of overlap in these two conversations, because both of these CEOs are trying to build businesses that can stand up to industry changes. Min, for instance, is getting ready to live in a world where consolidation means a smaller pool of advertisers for her publication. And Duchscher is trying to navigate platforms like YouTube, which is simultaneously asking his clients to make long-form videos that can work on TV, and clips built for YouTube shorts, its TikTok knock off. Learn more about your ad choices. Visit podcastchoices.com/adchoices
More from Channels with Peter Kafka
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David Ellison has won Warner Bros. Discovery. Now he has to figure out what, exactly, to do with it.
I went to Meta’s Silicon Valley headquarters to try Mark Zuckerberg’s newest face computer: a $1,300 pair of virtual-reality glasses that are much lighter and cheaper than Apple’s Vision Pro, and still make you ask a very basic question: What am I supposed to do with this thing?So I asked my pal Mike Isaac, the New York Times tech reporter and longtime Meta watcher. We talked about why Meta keeps spending billions trying to put computers on our heads, why this version might have a better shot than the last ones, and where Meta’s fast-growing Muse AI agent fits into the company’s plan.Then we turn to the much bigger—and darker—AI story Mike has been reporting on: The fight over whether the companies racing to build more powerful AI systems can actually control them. What are the real risks? Who gets to decide what counts as “safe enough”? And what happens when the people building this stuff say they can’t afford to slow down? Learn more about your ad choices. Visit podcastchoices.com/adchoices