Understanding AI activity in the private sector is crucial both to grasping its economic and security implications and developing appropriate policy frameworks. This data brief shows particularly robust AI activity in software publishing and manufacturing, along with a high concentration of companies in California, Massachusetts and New York.

See our original translation of a speech that Xi delivered to a meeting of academics in 2020 that he convened to solicit input for China’s upcoming 14th Five-Year Plan.

This translation is the result of collaboration between CSET and the DigiChina Project, based at the Stanford University Cyber Policy Center and a joint effort with New America.

The global AI industry is booming, with privately held firms pulling in nearly $40 billion in disclosed investment in 2019 alone. U.S. companies continue to attract the majority of that funding—64 percent of it in 2019—but that lead is not guaranteed. This report analyzes AI investment data from 2015 to 2019 to help better understand trends in the global AI landscape.

Future U.S. competitiveness in artificial intelligence will require a robust AI workforce. This data brief analyzes market demand for AI-related jobs to determine the skills necessary in the field. It concerns jobs considered both “core AI” and “AI-adjacent.”

Technical leadership in the semiconductor industry has been a cornerstone of U.S. military and economic power for decades, but continued competitiveness is not guaranteed. This issue brief exploring the composition of the workforce bolstering U.S. leadership in the semiconductor industry concludes that immigration restrictions are directly at odds with U.S. efforts to secure its supply chains.

Since 2016, China has engaged in a nationwide effort to "merge" AI and neuroscience research as a major part of its next-generation AI development program. This report explores China’s AI-brain program — identifying key players and organizations and recommending the creation of an open source S&T monitoring capability within the U.S. government.

The United States must adopt a new approach to R&D policy to optimize the diversity of the current system, manage the risks of system dispersion and deliver the benefits of R&D to society. This policy brief provides a new framework for understanding the U.S. R&D ecosystem and recommendations for repositioning the role of the federal government in R&D.

CSET has prepared policy recommendations for the next presidential administration to consider in five areas key to U.S. leadership in artificial intelligence.

Collaborating with allies to shape the trajectory of artificial intelligence and protect against digital authoritarianism