Sam Altman and Elon Musk are facing off in court, but beyond the high-profile legal drama, a wave of industry-shifting stories is unfolding. Mat Honan, Editor-in-Chief of MIT Technology Review, joins David Rothkopf to explore the week's key headlines—including the era of AI malaise, China’s strategic pivot toward open-source models, and more.

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AI should serve us, yet that’s not always the approach that experts take. There’s been a lot of talk about AI fueling economic displacement, but what about AI that’s a partner instead of a replacement for us? Dr. Angela Aristidou joins David Rothkopf to cut through the theoretical explore why real-world deployment of AI can improve workflow and augment human relationships rather than eliminating them. 

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Nobody wants to get scammed, yet everyone has a story about it happening to them or someone they know. In the age of AI, scams are more elaborate and devious than ever. So what can you do about it? Anya Schiffrin and Alice Marwick join David Rothkopf to discuss their recent policy brief about the scourge of AI scams, what governments can do to stem the growing tide of scams, and how individuals can protect themselves. 

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The political allegiances of Silicon Valley have shifted. Tech bros are becoming more and more aligned with Republicans. So how can Democrats balance the needs of the public interest without alienating the tech industry? Policy expert and White House veteran Rohini Kosoglu joins David Rothkopf to explore how Democrats can address the anxieties over job displacement, the concentration of wealth among tech leaders, and how to build a successful political platform for the future. 

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Fake news has been turbocharged by AI — and it’s getting worse every day. Now with a massive conflict in the Middle East, there is a flood of fake content designed to misinform. So how do we cut through the bullshit and separate the truth from lies? Open-Source Intelligence Analyst Tal Hagin joins David Rothkopf to explore why ai-generated disinformation has exploded in recent months and the tools you can use to verify the content you consume. 

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Conversations on AI typically deal with impacts in the US, Asia, and Europe. Yet the impact of AI on Africa, and Africa on AI, is immense. Professor and Director of the MIND Institute at the University of the Witwatersrand Benjamin Rosman joins David Rothkopf to explore the unique perspectives coming from Africa in the tech space, why grassroots movements drive innovation, and how unique resource constraints are forcing a creative departure from the “bigger is better” obsession in Silicon Valley.

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As the Trump regime wages war on Iran and geopolitical crises are dominating tabloid headlines, the Pentagon’s relationship with artificial intelligence is slipping under the radar. Alondra Nelson joins David Rothkopf to discuss the DoD’s partnerships with private-sector AI companies, the Pentagon’s push for unrestricted AI, and what this all means for our future.
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The Pentagon wants less restricted, more dangerous AI—and it seems like they’re getting it. Pete Hegseths’s showdown with Anthropic is just the latest instance of this administration’s pursuit of radical deregulation of artificial intelligence that shows no signs of slowing. The Brennan Center’s Amos Toh joins David Rothkopf to explore the ramifications of deregulation for defense, public safety, and the future of the industry. 

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The explosion of artificial intelligence has been a huge boon for leaders in the tech space. But many of us outside of Silicon Valley aren’t fans. So where does this hate for AI moguls come from. MIT Technology Review editor in chief Mat Honan joins David Rothkopf to discuss his recent coverage of Davos, reasons to be optimistic and skeptical about developing trends in AI, and what comes next. 

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Is the U.S.-China AI rivalry a zero-sum game? While the race for technical dominance heats up, both nations are taking radically different paths to the finish line. MIT Technology Review’s Caiwei Chen and the FT’s John Thornhill join host David Rothkopf to explore where China currently holds the edge—and why the "us versus them" framework fails to capture the true complexity of the AI landscape.

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