In their article featured in the Council of Foreign Relations, Jack Corrigan and Owen J. Daniels provide their expert analysis on the Chevron Doctrine Supreme Court decision and its implications for artificial intelligence (AI) governance.

A CSET Data Snapshot was cited in an article published by The Wall Street Journal. The piece discusses Huawei's advancements in developing a new AI chip, the Ascend 910C, which positions the company to challenge U.S. tech giant Nvidia in the Chinese market.

In their op-ed featured in Fortune, Dewey Murdick and Owen J. Daniels provide their expert analysis on the Chevron Doctrine Supreme Court decision and its implications for artificial intelligence (AI) governance.

In his op-ed featured in DefenseScoop, Jaret C. Riddick provides his expert analysis on the Great Power Competition.

In an article published by The Economist that discusses the adoption of advanced technology and artificial intelligence in militaries, CSET Research Fellow, Sam Bresnick, provided his expert insights.

In an article published by the South China Morning Post that discusses the challenges facing the United States and China in collaborating on the regulation of military artificial intelligence, CSET Research Fellow, Sam Bresnick, provided his expert insights.

In the China Watcher newsletter published by Politico, Sam Bresnick offered expert insights into the challenges facing U.S.-China cooperation on artificial intelligence.

“AI Chips: What They Are and Why They Matter,“ a report by CSET, was referenced in a Business Insider article. The article explores the urgent need in the US for more workers skilled in building AI chips. It highlights a significant decline in the American semiconductor workforce over the past two decades.

In his op-ed published by the Center for European Policy Analysis (CEPA), CSET’s Sam Bresnick shared his expert analysis on China's evolving military capabilities and its growing emphasis on battlefield information and the role of AI.

A CSET data snapshot was cited by CNBC in an article that focuses on the increasing prevalence of AI-specific degree programs, driven by the high demand for AI skills in the job market.