Benchmark frameworks (peer indices)
MacroPolo Global AI Talent Tracker 2.0 (March 2024, NeurIPS 2022 data)
Claim
Published by the Paulson Institute. Based on a sample of 186 papers and 867 authors from the NeurIPS 2022 conference (95% confidence, give or take 7%). Key findings: 75% of the top AI researchers working at US institutions did their undergraduate degrees in the US or China (up from 58% in 2019); China produces 47% of the world’s top AI researchers, counted by where they did their undergraduate degree (up from 29% in 2019); the US is still the top destination for elite talent; and about 42% of top researchers work abroad (down from 55% in 2019), meaning fewer are moving around overall. Of Chinese AI undergraduates, 51.35% go on to graduate study at home, and 30.96% stay in China for that work. In India, one-fifth of AI researchers now stay in India after graduating (up from almost none in 2019).
Sources
- MacroPolo, Global AI Talent Tracker 2.0 ↗
- Methodology for Global AI Talent Tracker 2.0 ↗
- Zeyi Yang, “Four things you need to know about China’s AI talent pool,” MIT Technology Review, 27 March 2024 ↗
Referenced in
- Framework §3
- AI-SAF-N Human Capital pillar
- AI-SAF-C Human Capital pillar
- Refining §3.7