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AI MediaIndustry Shift· 3 min read· in Entertainment

Kevin Roose and Casey Newton Launch Video-First AI Podcast 'Machine Gods' With NPR

Former 'Hard Fork' hosts Kevin Roose and Casey Newton are partnering with NPR to launch a new twice-weekly podcast focused on artificial intelligence. The video-first show will debut on digital platforms in October before expanding to terrestrial radio in early 2027.

By Claire Lefevre

Independent Tech Journalists 40%Public Media Strategists 40%Podcast Industry Analysts 20%
Independent Tech Journalists
Advocates for creator-owned media models that bypass traditional paywalls.
Public Media Strategists
Focuses on expanding digital and video-first footprints to attract younger demographics.
Podcast Industry Analysts
Views the deal as a bellwether for creator-network partnerships and hybrid distribution.

Perspectives this story doesn't cover

  • Traditional Print Media Executives
  • Independent Podcast Networks

Fast facts

  • Technology journalists Kevin Roose and Casey Newton are launching a twice-weekly, video-first podcast titled Machine Gods in partnership with NPR.
  • The show will debut on digital platforms in October 2026 before expanding to NPR's terrestrial radio network in early 2027.
  • The acquisition marks the first major programming deal under NPR Chief Content Officer Nadine Zylstra, signaling a strategic push into visual podcasting.
  • NPR will handle distribution and ad sales for the independent venture, allowing the creators to retain ownership while leveraging public media's massive reach.

Why this matters

This partnership establishes a new blueprint for top-tier journalism talent, proving that creators can leave legacy print institutions to build independent, creator-owned properties without sacrificing the massive distribution scale of a national broadcast network.

On October 6, 2026, technology journalist Kevin Roose will release his new book, The AGI Chronicles. That same month, he and Platformer founder Casey Newton will debut Machine Gods, a twice-weekly, video-first podcast distributed by NPR. The move marks the end of their tenure at The New York Times, where their previous collaborative show, Hard Fork, became a staple of technology media.[1][2]

The partnership represents a significant programming acquisition for NPR, which will handle distribution and ad sales for the independent venture. The show will launch on the NPR application, YouTube, and major podcast platforms in October 2026, before expanding to terrestrial radio across the NPR Member station network in early 2027. Production for the series will be based in San Francisco, placing the hosts directly adjacent to the artificial intelligence industry they cover.[1][3]

For NPR, the agreement is the first major acquisition under Chief Content Officer Nadine Zylstra, who joined the public broadcaster earlier this year. Zylstra framed the deal as a strategic expansion of the network's digital slate. "Kevin and Casey are two of the sharpest, most trusted voices covering the technology shaping our world," Zylstra said in the September 16 announcement, adding that the partnership ensures public media remains a premier destination for deeply human stories.[1][4]

Machine Gods aims to navigate the rapidly shifting landscape of artificial intelligence, focusing on consumer, enterprise, and policy developments. The hosts are positioning the show as a corrective to the current media ecosystem surrounding generative AI and machine learning, which they argue lacks nuance.[3]

The launch of Machine Gods coincides with a sustained peak in consumer interest surrounding artificial intelligence.
Machine Gods aims to navigate the rapidly shifting landscape of artificial intelligence, focusing on consumer, enterprise, and policy developments.

"AI is the biggest story of our lifetimes, and most of the coverage is either cheerleading or doomsaying," Roose said. "Casey and I are building a show for people who want to know what is actually happening with AI, and partnering with NPR will let us reach smart, engaged audiences at a scale no tech podcast has ever had."[1][4]

The transition follows Roose's departure from The New York Times after nine years as a technology columnist. Newton, who continues to run the independent technology publication Platformer, emphasized the accessibility of the new distribution model. "We get to bring sharp, independent reporting on AI to millions of people for free, right where they already listen," Newton noted.[1][2]

The agreement highlights a broader shift in the podcasting industry, where established creators are increasingly seeking hybrid distribution models that combine digital video reach with traditional broadcast infrastructure. By partnering with NPR, Roose and Newton gain access to a terrestrial radio network that reaches millions of weekly listeners, a scale difficult to achieve purely through RSS feeds.[5]

The partnership will bring the independent podcast to terrestrial radio stations across the country in early 2027.

The "video-first" designation is particularly notable in the current media environment. As platforms like YouTube increasingly dominate podcast consumption, audio networks are adapting their acquisition strategies. At the Sounds Profitable Business Summit in New York City this week, the newly released Podcast Study 2026 revealed that 45 percent of listeners are now willing to pay for ad-free subscription tiers, while 64 percent want direct email relationships with creators. NPR's commitment to a visual format for Machine Gods signals a willingness to compete directly in this evolving space.[5]

The October launch will test whether the audience that propelled Hard Fork to the top of the technology charts will follow its hosts to a public media ecosystem. With production based in the heart of the tech industry and a mandate to cut through the hype, Machine Gods arrives as the artificial intelligence sector faces mounting questions about regulation, commercial viability, and societal impact.[1][2]

Viewpoints in depth

Independent Tech Journalists

Emphasizing editorial independence and direct-to-consumer distribution models.

For creators like Roose and Newton, the appeal of independent ventures lies in retaining ownership of their intellectual property while escaping traditional paywalls. By partnering with a public broadcaster for distribution and ad sales, they secure the infrastructure needed to reach millions of listeners without sacrificing editorial control. This model allows them to speak directly to audiences across video and audio platforms, reflecting a broader industry trend where top-tier talent seeks hybrid arrangements over exclusive network contracts.

Public Media Strategists

Focusing on expanding digital and video-first footprints to attract younger demographics.

From the perspective of public broadcasting executives, acquisitions like Machine Gods are essential for survival in a fragmented media landscape. Under new leadership, NPR is aggressively pursuing video-first content and high-profile digital creators to revitalize its programming slate. By bringing established, trusted voices into the public media ecosystem, strategists hope to convert YouTube viewers and podcast listeners into long-term supporters of the broader member station network.

Sources

Source coverage

5 outlets

3 viewpoints surfaced

Independent Tech Journalists 40%Public Media Strategists 40%Podcast Industry Analysts 20%
  1. [1]QuartzPodcast Industry Analysts

    Kevin Roose and Casey Newton launch AI show with NPR

    Read on Quartz
  2. [2]Superpower DailyIndependent Tech Journalists

    Newton and Roose Launch Machine Gods With NPR as Hard Fork Ends

    Read on Superpower Daily
  3. [3]Hawai'i Public RadioPublic Media Strategists

    'Machine Gods' explores the latest developments in the world of AI

    Read on Hawai'i Public Radio
  4. [4]AI WeeklyIndependent Tech Journalists

    Casey Newton and Kevin Roose take 'Machine Gods' to NPR

    Read on AI Weekly
  5. [5]PodnewsPodcast Industry Analysts

    A new home for Kevin Roose and Casey Newton

    Read on Podnews

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