China is embracing “embodied AI”—artificial intelligence integrated with physical agents, such as robots and drones—both for commercial reasons and as a path to artificial general intelligence (AGI). The trend reflects China’s signature approach to AI, which recognizes diverse paths to AI dominance vis-à-vis the large models favored in the United States. This report documents PRC support for AI embodiment, describes how it is understood by China’s research community, and maps out the related infrastructure.

This report examines lessons from the North Carolina Life Sciences Apprenticeship Consortium for pharmaceutical and biomanufacturing workforce development, and analyzes how apprenticeship programs help address workforce shortages in emerging tech fields. It offers a practical framework with important considerations for designing and launching programs, and serves as a resource for employers, regional leaders, and policymakers seeking to build a more resilient and technically skilled workforce.

This roundtable report explores how practitioners, researchers, educators, and government officials view work-based learning as a tool for strengthening the cybersecurity workforce. Participants engaged in an enriching discussion that ultimately provided insight and context into what makes work-based learning unique, effective, and valuable for the cyber workforce.

System-to-model innovation is an emerging innovation pathway in artificial intelligence that has driven progress in several prominent areas over the last decade. System-level innovations advance with the diffusion of AI and expand the base of contributors to leading-edge progress in the field. Countries that can identify and harness system-level innovations faster and more comprehensively will gain crucial economic and military advantages over competitors. This paper analyzes the benefits of system-to-model innovation and suggests a three-part framework to navigate the policy implications: protect, diffuse, and anticipate.

Wuhan, China’s inland metropolis, is paving the way for a nationwide rollout of “embodied” artificial intelligence meant to fast-track scientific discovery, optimize production, streamline commerce, and facilitate state supervision of social activities. Grounded in real-world data, the AI grows smarter, offering a pathway to artificial “general” intelligence that will reinforce state ideology and boost economic goals. This report documents the genesis of Wuhan’s AGI initiative and its multifaceted deployment.

Maintaining long-term U.S. leadership in artificial intelligence will require policymakers to foster a diversified, contestable, and competitive market for AI systems. Today, however, incumbent technology companies maintain a distinct advantage in the production of large AI models, and they have the means and motion to use their control over key chokepoints in the AI supply chain (compute, data, foundation models, distribution channels) to stifle competition. This report explores the associated economic and national security risks, and offers recommendations for maintaining an open and competitive AI industry.

The Carnegie Classification of Institutions of Higher Education is simplifying its top-tier R1 research criteria this year. Recognizing the strategic importance of historically Black colleges and universities, Congress passed Section 223 of the 2023 National Defense Authorization Act to increase defense research capacity by encouraging the most eligible among these institutions to seek the highly coveted R1 status. This in-depth analysis examines the 2025 classification changes, their effect on eligible HBCUs, and strategies for Congress to maintain progress.

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.

As artificial intelligence permeates the economy, the demand for AI talent with all levels of educational attainment will expand in kind. Apprenticeships are an effective education and training pathway for other industries, but are they suitable for AI-related roles? This report analyzes trends in AI-related apprenticeships across the United States from 2013 through 2023. It explores the growth of these programs, completion rates, demographic and geographic information, and the organizations sponsoring these programs.