What will it take for the U.S. to win the global technology race? From artificial intelligence to biotechnology, the stakes are high — and the time to act is now. Join leading voices from the worlds of government, industry, and policy for an afternoon of candid conversation about the forces shaping the next era of innovation and competition.

In response to the Office of Science and Technology Policy's request for input on an AI Action Plan, CSET provides key recommendations for advancing AI research, ensuring U.S. competitiveness, and maximizing benefits while mitigating risks. Our response highlights policies to strengthen the AI workforce, secure technology from illicit transfers, and foster an open and competitive AI ecosystem.

CSET's Zachary Arnold and Jacob Feldgoise shared their expert insights in an article published by Nature. The article explores China's increasing presence in basic research on future computing hardware, which could influence the global landscape of high-performance microchip design and production.

In their op-ed in Newsweek, William Hannas and Huey-Meei Chang discussed the ongoing challenge of China’s technology acquisition and the complexities of U.S.-China collaboration in artificial intelligence (AI).

In their op-ed in Newsweek, Jack Corrigan and Sam Bresnick discuss the recent release of DeepSeek's AI model, R1, which has surprised the global tech industry by matching the performance of leading U.S. models at a lower cost. This development challenges the assumption that restricting China's access to advanced chips would significantly hinder its AI progress.

Large generative models are widely viewed as the most promising path to general (human-level) artificial intelligence and attract investment in the billions of dollars. The present enthusiasm notwithstanding, a chorus of ranking Chinese scientists regard this singular approach to AGI as ill-advised. This report documents these critiques in China’s research, public statements, and government planning, while pointing to additional, pragmatic reasons for China’s pursuit of a diversified research portfolio.

In his op-ed in DefenseScoop, Jack Corrigan discusses the U.S.'s first national security memorandum on artificial intelligence (AI), which emphasizes large "frontier" models from major tech firms as key to national security and technological leadership. He cautions, however, that this focus could stifle broader AI innovation and create reliance on costly, resource-intensive systems.

Maintaining U.S. technological leadership in the years ahead will require policymakers to promote competition in the AI market and prevent industry leaders from wielding their power in harmful ways. This brief examines trends in U.S. mergers and acquisitions of artificial intelligence companies. The authors found that AI-related M&A deals have grown significantly over the last decade, with large U.S. tech companies being the most prolific acquirers of AI firms.

The Chinese Academy of Sciences is among the most important S&T organizations in the world and plays a key role in advancing Beijing’s S&T objectives. This report provides an in-depth look into the organization and its various functions within China’s S&T ecosystem, including advancing S&T research, fostering the commercialization of critical and emerging technologies, and contributing to S&T policymaking.

In his op-ed in TIME, Jack Corrigan discusses the landmark antitrust ruling that officially named Google a monopoly, marking the first significant antitrust defeat for a major internet platform in over two decades.