AI Competition: Jared Cohen & George Lee Insights
The U.S. and China are locked in a fierce AI competition, with China’s dominance in rare earth minerals adding complexity. Jared Cohen and George Lee offer vital insights into this escalating rivalry and its implications for global technology and trade. Discover how China’s DeepSeek model challenges U.S. AI leadership, performing at par with GPT-4 at a fraction of the price, changing the game. China’s state-oriented approach, allowing long-term planning, faces the West’s open, capitalist innovation, and export controls on China may prove insufficient to curb their advancements. Gain a deeper understanding of the complex challenges and geopolitical implications, including the influence of swing states like india and Saudi Arabia, and the growing power demands of AI. News Directory 3 helps you understand the intertwined global supply chains and competitive dynamics at play. Discover what’s next in this high-stakes AI race.
US, China Vie for AI Dominance Amid Rare Earths Control
Updated June 12, 2025
The United States and China are engaged in a high-stakes competition for artificial intelligence (AI) supremacy, a race complicated by China’s control over rare earth minerals and U.S. export restrictions. This rivalry, explored in a recent discussion featuring goldman Sachs Global Institute’s jared Cohen and george Lee, is reshaping global technology and trade.
Rare earths, essential for high-end magnets and chips, emerged as a key point in recent trade negotiations.china’s restrictions on these critical minerals, in response to U.S. tariffs, brought both sides to the negotiating table. This battle for resources is intertwined with the broader AI competition.
Lee noted that the generative AI revolution has spurred a surge of confidence and investment within China. Despite initial ambivalence due to the technology’s less controllable nature, the emergence of a highly capable Chinese model, DeepSeek, has shifted China’s policy to embrace and integrate AI with its existing strengths in data, robotics, and payments.
Cohen added that DeepSeek’s ability to perform at the level of GPT-4 at a fraction of the cost has challenged the perception that export controls could effectively limit China’s AI capabilities. this development has also led to a realignment of China’s private tech sector with the state-led system.
While the U.S.and Western economies have thrived through open, capitalist innovation, Lee pointed out that China’s state-oriented approach allows for long-term planning and resource management, particularly in critical areas like power and mineral sourcing. He emphasized that China is now at or near the frontier in algorithmic development, with advantages in command control and resource consistency.
The Trump administration’s strategy, according to Cohen, involved both preventing china from accessing critical technologies and promoting the diffusion of those technologies to other regions. This approach aims to balance the need to restrict China’s progress while fostering growth and innovation elsewhere.
Though, Cohen cautioned that the intertwined nature of global supply chains, particularly in rare earth processing, gives china significant leverage. With 92% of rare earth refining and processing occurring in China, the West faces challenges in building a competitive industry due to a lack of human capital and stringent environmental regulations.
Lee highlighted the complexity of AI systems, noting that Nvidia‘s current NVL72 system has approximately 600,000 parts, with the next-generation machine expected to have 2.5 million. This intricate global supply chain makes it unrealistic to completely reshore or dominate the ecosystem.
Regarding export controls, Lee acknowledged that while they may hinder China’s access to U.S. technology, they also force China to develop its own solutions, potentially leading to greater self-sufficiency and innovation.
Cohen noted that geopolitical swing states, such as India, Saudi Arabia, and Vietnam, are seeking to maximize their economic advantages in the competition between the U.S. and China, recognizing a fleeting moment to benefit from this rivalry.
Lee emphasized the importance of these swing states aligning with an open,democratic U.S.-driven ecosystem to mitigate the risks associated with a Chinese-dominated AI landscape.
Both Cohen and Lee underscored the growing power demands of AI, with Nvidia’s future rack designs requiring substantially more power than current systems. This surge in demand is prompting both the U.S. and China to invest in various energy sources, including nuclear, renewables, and coal.
“So now we’re in the sprint mode of a real race for supremacy between the united States and China.And it’s really emerged as a critical vector of competition between governments.”
“Part of what spooked everybody with DeepSeek is that it basically managed to perform at the same level as GPT-4 at roughly 5 percent of the cost… export controls on China was an insufficient strategy to holding them back.”
What’s next
Companies face the challenge of navigating the rapid pace of AI development and deciding when and were to invest in the technology. While enterprise adoption is currently slower than the technological advancements, experts anticipate a significant impact in 2026 and beyond.