On July 16 in Shanghai, 29 countries, including China, Pakistan and Russia, signed the founding agreement of WAICO, World AI Cooperation Organization. Every BRICS founding member is in, except India. This agreement follows the launch of the US-led Pax Silica, a 24-member coalition, including India, which is designed to counter China's AI efforts. The stated goal of both these competing groups is to provide global governance, including building guardrails and setting standards, for artificial intelligence (AI) technologies.
| US-China AI Competition |
The announcement of WAICO coincided with the launch of Kimi K3 by Chinese startup Moonshot AI. Kimi K3 is the largest open-weight AI model ever built, its full weights free for the world to download from July 27. Cheaper open-source AI models like Kimi K3 pose a serious threat to U.S. proprietary models. By offering 80-90% of the capability at a fraction of the cost or for free, they are squeezing the premium pricing strategies of domestic leaders like OpenAI and Anthropic.
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| Top Global AI Talent. Marco Polo AI Talent Tracker |
Companies, including US-based firms, are rapidly adopting AI cost-saving measures. For example, Airbnb relies on Alibaba’s Qwen model, startups like Lindy have transitioned from Anthropic to DeepSeek, and DoorDash has employed Moonshot AI for specific workflows. Overall, Chinese open-source options now account for over 40% of Hugging Face AI community and 80% of open-source developer usage globally.
Open-source AI models—which are roughly 8 to 10 times cheaper to run than proprietary ones—are rapidly closing the reasoning and contextual intelligence gap with frontier models like Anthropic's Claude. However, open source models shift the responsibility of infrastructure maintenance and security to the user.
The people of Chinese PRC origin account for 47% of the top 20% AI talent in the world based on undergraduate degree, according to a survey. Americans make up 18%, Europeans 12% and Indians 5% of the global AI researchers. In terms of the countries they serve, 57% of them work in the United States, 12% in China, 8% in the UK, 4% each in France and Germany and 3% in Canada as of 2022. While the US still has the lion's share of the top talent, its share has declined from 65% in 2019 to 57% in 2022. Marco Polo talent tracker lists Pakistan among a dozen countries for top AI talent in Asia.
More than half (15 out 25) of the institutions (companies and universities) where the top AI researchers work are located in the United States, while 6 are in China. The remaining four are in the UK, Switzerland, Singapore and Canada, according to Marco Polo Global AI Talent Tracker.
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