Cole McFaul shared his expert analysis in an article published by BBC News. The article discusses President Donald Trump’s decision to allow Nvidia and other U.S. chipmakers to sell their H200 AI chips to approved customers in China, a move that partially reverses earlier restrictions and has significant implications for U.S.-China technology competition.

A CSET explainer was highlighted in an article published by Bloomberg. The article discusses new bipartisan legislation that would restrict U.S. companies, including Nvidia, from exporting advanced AI chips to China, reinforcing existing controls and shaping the future of U.S. technology policy.

Sam Bresnick and Cole McFaul shared their expert analysis in an op-ed published by The Hill. In their piece, they explain why relaxing U.S. export controls on advanced AI chips would pose significant national security risks, especially as new evidence shows the Chinese military actively acquiring and using American semiconductors.

CSET’s Jacob Feldgoise shared his expert analysis in an article published by CNN. The article discusses the differences between Google’s custom Tensor chips and Nvidia’s GPUs, and how these distinctions shape the AI hardware landscape.

CSET’s Lauren Kahn shared her expert analysis in an article published by Scientific American. The article discusses the growing dangers of space debris and how increasing orbital traffic threatens satellites, space stations, and human space missions.

CSET’s Hanna Dohmen shared her expert analysis in an article published by CNBC. The article discusses how China continues to advance in artificial intelligence despite U.S. restrictions on access to Nvidia’s most advanced chips.

On July 31, 2025, the Trump administration released “Winning the Race: America’s AI Action Plan.” CSET has broken down the Action Plan, focusing on specific government deliverables. Our Provision and Timeline tracker breaks down which agencies are responsible for implementing recommendations and the types of actions they should take.

🔔 The number of AI-related governance documents is rapidly proliferating, but what risks, mitigations, and other concepts do these documents actually cover?

MIT AI Risk Initiative researchers Simon Mylius, Peter Slattery, Yan Zhu, Alexander Saeri, Jess Graham, Michael Noetel, and Neil Thompson teamed up with CSET’s Mina Narayanan and Adrian Thinnyun to pilot an approach to map over 950 AI governance documents to several extensible taxonomies. These taxonomies cover AI risks and actors, industry sectors targeted, and other AI-related concepts, complementing AGORA’s thematic taxonomy of risk factors, harms, governance strategies, incentives for compliance, and application areas.

CSET’s Jacob Feldgoise shared his expert analysis in a segment published by NPR’s All Things Considered. The segment discusses the U.S. government’s 10% stake in Intel, framing the move as part of broader efforts to reduce reliance on foreign chipmakers and secure U.S. leadership in advanced semiconductor manufacturing.

CSET’s Jacob Feldgoise shared his expert analysis in an article published by BBC. The article discusses the U.S. government’s 10% stake in Intel, highlighting the move as part of broader efforts to strengthen domestic semiconductor production and maintain U.S. technological leadership.