Demand for talent is one of the core elements of technological competition between the United States and China. In this issue brief, we explore demand signals in China’s domestic AI workforce in two ways: geographically and within the defense and surveillance sectors. Our exploration of job postings from Spring 2021 finds that more than three-quarters of all AI job postings are concentrated in just three regions: the Yangtze River Delta region, the Pearl River Delta, and the Beijing-Tianjin-Hebei area.
Discover how the global landscape of STEM graduates is shifting, potentially reshaping the future of innovation and education worldwide. This blog post analyzes recent education data from the countries with the most graduates in Science, Technology, Engineering, and Mathematics (STEM) fields. For each of the top eleven countries by number of STEM graduates, we present the total number of STEM graduates as well as STEM graduates as a percentage of total graduates in 2020.
Sonali Subbu Rathinam is a Data Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET), where she supports the AI Workforce research.
The Washington Post cited a CSET report that delves into the issue of talent retention in artificial intelligence and its effects on the United States' competitiveness. The report was referenced in an article discussing how countries such as the United Kingdom, Australia, and Canada are successfully attracting highly skilled immigrants, including international students educated in the United States.
A report by CSET's Will Hunt was referenced in an article published by Tech Report. The article delves into Nvidia's recent announcement regarding the reintroduction of their GPUs into chip factories and their role in accelerating the computational lithography process.
A report by CSET's Will Hunt was referenced in an article published by The Register. The article the reintroduction of Nvidia's GPUs into chip factories to accelerate and enhance various processes in semiconductor manufacturing.
A 2020 CSET report was cited in an article published by Axios. The article discusses a letter signed by more than five dozen experts, including former national security officials, urging the House China Select Committee to address immigration obstacles for international science and engineering graduate students and workers.
Micah Musser, Rebecca Gelles, Ronnie Kinoshita, Catherine Aiken, and Andrew Lohn
| April 2023
Progress in artificial intelligence (AI) depends on talented researchers, well-designed algorithms, quality datasets, and powerful hardware. The relative importance of these factors is often debated, with many recent “notable” models requiring massive expenditures of advanced hardware. But how important is computational power for AI progress in general? This data brief explores the results of a survey of more than 400 AI researchers to evaluate the importance and distribution of computational needs.
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