Parents are now sending their kids to study learn about STEM and AI at summer camp. CSET research found that 447 AI summer camps have opened within 48 of the U.S. states.

CSET experts predict that by 2025, Chinese universities will outpace the United States' production of STEM PhDs in a new report.

China could graduate nearly twice as many STEM PhDs as the United States by 2025, according to a new CSET report.

A new CSET report reveals that U.S. universities are lagging behind China in the production of STEM PhDs.

CSET Research Fellow discusses his latest data brief on China's investment into STEM PhD students.

Since the mid-2000s, China has consistently graduated more STEM PhDs than the United States, a key indicator of a country’s future competitiveness in STEM fields. This paper explores the data on STEM PhD graduation rates and projects their growth over the next five years, during which the gap between China and the United States is expected to increase significantly.

To what extent does China’s cultivation of talent in cybersecurity and AI matter in terms of competitiveness with other countries? Right now, it seems to have an edge: China’s 11 World-Class Cybersecurity Schools offer more classes on artificial intelligence and machine learning than do the 20 U.S. universities certified as Centers of Academic Excellence in Cyber Operations. This policy brief recommends tracking 13 research grants from the National Science Foundation that attempt to integrate AI into cybersecurity curricula.

AI technologies will likely alter great power competitions in foundational ways, changing both how nations create power and their motives for wielding it against one another. This paper is a first step toward thinking more expansively about AI & national power and seeking pragmatic insights for long-term U.S. competition with authoritarian governments.

Artificial intelligence is said to be transforming the global economy and society in what some dub the “fourth industrial revolution.” This data brief analyzes media representations of AI and the alignments, or misalignments, with job postings that include the AI-related skills needed to make AI a practical reality. This potential distortion is important as the U.S. Congress places an increasing emphasis on AI. If government funds are shifted away from other areas of science and technology, based partly on the representations that leaders and the public are exposed to in the media, it is important to understand how those representations align with real jobs across the country.

Diana Gehlhaus and Ilya Rahkovsky's CSET issue brief "U.S. AI Workforce" shows a lack of evidence to suggest there is an AI talent gap in the United States.