Data-Driven Research
Mapping AI's Global Landscape
47%of the world's top AI researchers were trained in China. 72% of them now work in the United States.
We track the talent flows, policy decisions, and supply chains that shape the future of artificial intelligence. Independent research for policymakers, journalists, and researchers who need clarity in a post-hype era.
Cited by leading institutions
Featured: The Global AI Talent Tracker
The most comprehensive analysis of where the world's leading AI researchers were educated and where they work now. Updated with 2025 NeurIPS and ICML conference data.
From NeurIPS, ICML, and other top conferences
Undergraduate education in Chinese institutions
Of China-trained researchers now in America
“This single statistic explains more about the US-China AI competition than any trade policy white paper. America's AI advantage isn't homegrown talent; it's imported talent.”
Latest Analysis
Data-driven research on AI talent, governance, and supply chains
How China's Massive AI Plan Actually Works
Beyond the headlines: how China's AI development plan translates from central government vision to local implementation. What works, what doesn't, and why it matters.
The Global AI Governance Gap: Content Authenticity Edition
Comparative analysis of AI content regulation across US, EU, China, and emerging frameworks. Who's actually enforcing transparency requirements?
America's Big Lead in AI Research Is Built on Importing Researchers
Data analysis showing how US dominance in AI research depends on foreign-born talent. What happens when the pipeline narrows?
The Chinese Talent Behind Your Favorite Generative AI Product
How Chinese-born researchers built the foundation of generative AI at OpenAI, Google DeepMind, and Anthropic.
China's Semiconductor Strategy: The AI Chip Race
Why chips matter more than algorithms, and what cheap compute means for AI-generated content at scale.
China's AI Talent Base Is Growing — And Then Leaving
Updated analysis of China's AI brain drain. Data on retention rates and policy implications for both nations.
Three Research Pillars
Our research covers the complete AI competition landscape: the people who build it, the policies that govern it, and the supply chains that enable it.
AI Talent & Research
Where the world's top AI researchers were educated, where they work now, and how talent flows between nations. The Global AI Talent Tracker is the authoritative source.
Policy & Governance
How governments regulate AI, from China's central planning to the EU AI Act to US executive orders. Comparative analysis of what works, what doesn't, and what's missing.
Supply Chain Intelligence
Semiconductors, batteries, critical minerals. The physical infrastructure that determines who can build AI at scale and who can't.
About This Archive
MacroPolo Archive is an independent research platform dedicated to tracking global AI talent flows, technology governance, and critical supply chains. Originally founded as a research initiative, we continue to produce data-driven analysis for policymakers, researchers, journalists, and anyone seeking clarity in the AI era.
Our research has been cited by The New York Times, Bloomberg, MIT Technology Review, Brookings Institution, Georgetown University's Center for Security and Emerging Technology, and government agencies in the US, UK, and EU.
Original Data
Conference author analysis, talent flow tracking, policy implementation monitoring. We collect and analyze primary sources.
Think-Tank Rigor
Every claim is sourced. Every statistic is attributed. Methodology is transparent. This is research, not commentary.
Global Perspective
Not US-centric. We track AI developments in China, the EU, India, and emerging tech hubs worldwide.