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In the news section, our experts take center stage in shaping discussions on technology and policy. Discover articles featuring insights from our experts or citing our research. CSET’s insights and research are pivotal in shaping key conversations within the evolving landscape of emerging technology and policy.

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1 big thing: AI could soon improve on its own

Axios
| January 27, 2026

A CSET workshop report was highlighted in an segment published by Axios in its Axios+ newsletter. The segment explores the growing push toward automating AI research and development, examining how far AI systems might go in designing, improving, and training other AI models and what that could mean for innovation, safety, and governance.

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The Complicated Politics of Trump’s New AI Executive Order

The National Interest
| January 29, 2026

CSET’s Vikram Venkatram, Mina Narayanan, and Jessica Ji shared their expert analysis in an op-ed published by The National Interest. The article analyzes the Trump administration’s new AI executive order and its attempt to limit state-level AI regulation, examining the legal, political, and governance challenges this approach creates.

CSET’s Sam Bresnick shared his expert perspective in an article published by WIRED. The article explores the U.S. reversal on AI chip export controls, Nvidia CEO Jensen Huang’s lobbying efforts, and how renewed sales of advanced chips to China could shape both U.S. and Chinese semiconductor strategies.

Taiwan’s Flagship Chip Maker Charts a Future Beyond Taiwan

The Wall Street Journal
| January 16, 2026

CSET’s Sam Bresnick shared his expert perspective in an article published by The Wall Street Journal. The article examines how TSMC’s expanding global footprint, especially its growing U.S. chip investments, is reshaping strategic thinking about Taiwan’s semiconductor industry and challenging the idea that its chips alone serve as a “Silicon Shield” against Chinese aggression.

CSET’s Helen Toner shared her expert perspective in an article published by TIME. The article examines common misconceptions about artificial intelligence in 2025, including claims that AI progress is stalling, that self-driving cars are inherently more dangerous than human drivers, and that AI systems cannot produce genuinely new knowledge.

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.

How AI is changing the world of HR

Axios
| December 5, 2025

CSET’s Helen Toner shared her expert analysis in an article published by Axios. The article discusses how HR departments are increasingly using AI tools for recruiting, performance management, and workplace operations while also navigating significant reliability and privacy risks.

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.

The hottest new AI company is…Google?

CNN
| November 29, 2025

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 Helen Toner shared her expert analysis in an article published by The New York Times. The article discusses how Chinese-born researchers continue to play a critical role in advancing U.S. artificial intelligence, even amid heightened political tensions and growing immigration barriers.