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American Focus > Blog > Tech and Science > Databricks co-founder argues US must go open source to beat China in AI
Tech and Science

Databricks co-founder argues US must go open source to beat China in AI

Last updated: November 14, 2025 10:30 pm
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Databricks co-founder argues US must go open source to beat China in AI
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Andy Konwinski Warns of China’s Dominance in AI Research

Andy Konwinski, co-founder of Databricks and Laude, is sounding the alarm about the growing threat of China surpassing the U.S. in AI research. He describes this shift as an “existential” threat to democracy, emphasizing the need for the U.S. to maintain its leadership in this critical field.

During the Cerebral Valley AI Summit, Konwinski expressed concern over the increasing number of groundbreaking AI ideas coming from Chinese companies compared to American counterparts. He highlighted the significant talent pool in Chinese universities and tech firms that are driving innovation at a rapid pace.

Aside from his role at Laude, where he invests in AI startups and researchers, Konwinski also leads the Laude Institute, which provides grants to support AI research. He believes that the free exchange of ideas is essential for fostering innovation, pointing to the success of generative AI stemming from collaborative research efforts.

While major U.S. AI labs like OpenAI and Meta continue to make strides in AI development, Konwinski notes that their proprietary approach limits the broader academic community’s access to cutting-edge research. He warns that the U.S. risks falling behind if it doesn’t prioritize open collaboration and knowledge sharing.

Contrasting China’s government-backed support for open-source AI innovation, Konwinski emphasizes the need for the U.S. to maintain its competitive edge by embracing a more open research ecosystem. He stresses the importance of preserving the tradition of scientific exchange and collaboration to drive future breakthroughs.

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Konwinski warns that the lack of collaboration and information sharing in the U.S. poses a dual threat – not only to democracy but also to the competitiveness of American AI labs. He cautions against stifling innovation by hoarding knowledge and talent, urging a more open and collaborative approach to maintain the U.S.’s leadership in AI research.

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