Declining openness puts U.S. AI leadership at risk

Markets 2025-11-17 11:19

Andy Konwinski, co-founder of Databricks, has warned that the U.S. is quickly losing its lead in artificial intelligence (AI) research to China. Speaking at the Cerebral Valley AI Summit, Konwinski described the change as an “existential” threat to democracy and innovation. 

Konwinski argued that the open scientific interaction that formerly drove significant advancements has been stifled by America’s top AI labs, which have become overly tight and insular. He further argued that until American labs give up their proprietary fortress mentality, the U.S. will continue to lose its primacy in AI research to China.

U.S. openness declines as China advances AI

According to the Belfer Center for Science and International Affairs, the majority of Americans believe that American leadership in AI technologies is so firmly established that it cannot be challenged. Belfer Center claimed that many in the American national security community insist that in the AI arena, China can never be more than a “near-peer competitor.”

However, the Belfer Center argued that China is currently the U.S.’s full-spectrum peer rival in terms of economic and national security applications of AI. Belfer Center added that Beijing is succeeding in its efforts to master AI.

Konwinski stated that major AI laboratories, such as OpenAI, Meta, and Anthropic, are still producing a significant amount of innovative work, most of which is proprietary rather than open-source. He claimed that tech firms are luring outstanding academic talent by offering multimillion-dollar wages that are far higher than what these professionals can earn in universities.

“If you talk to PhD students at Berkeley and Stanford in AI right now, they’ll tell you that they’ve read twice as many interesting AI ideas in the last year that were from Chinese companies than American companies.”

–Andy Konwinski, co-founder of Databricks.

He commented that tech firms’ ideas must be freely shared and discussed with the greater academic community to grow genuinely.

According to Konwinski, the Chinese government supports and promotes AI research, whether it comes from labs like DeepSeek or Alibaba’s Qwen, to be open-sourced. He claimed that the support of AI research in China enables others to build upon it and will unavoidably result in further advances.

Konwinski believes the support of AI research contrasts sharply with the U.S. He claimed that the diffusion of scientists talking to scientists, which has traditionally existed in the U.S., has stopped. Additionally, he mentioned that the lack of socialization among one another presents a commercial challenge to U.S. AI laboratories as well as a danger to democracy.

Andy Konwinski’s solution through the Laude Institute shows a direct counter-strategy. The accelerator provides grants to researchers, while its venture fund, established with NEA veteran Pete Sonsini and Antimatter CEO Andrew Krioukov, offers funding specifically targeted at supporting academic AI innovation. 

China accelerates toward global AI leadership shift

Earlier this year, Cryptopolitan reported that China is closing in on the U.S. as the global AI race intensifies and becomes more competitive among global economic superpowers, with smaller AI firms producing innovative ideas. The report stated that China is considering upgrading its self-sufficiency and minimizing its over-reliance on U.S. AI products during a period of geopolitical tensions.

According to the report, the U.S. remains the leading manufacturer of important models, with 40 models released in 2024, followed by China with 15 and Europe with 3. However, many other regions, such as Southeast Asia, Latin America, and the Middle East, are joining the race.

The report claimed that China, which generates the greatest number of AI publications and patents, is currently creating models with performance comparable to that of its U.S. rivals.

Another Cryptopolitan report stated that firms from Europe to Asia and Africa are currently testing Large language models from Chinese companies, such as Alibaba and DeepSeek, as affordable substitutes for U.S. leaders like ChatGPT. It asserted that Large U.S. companies admitted that Chinese AI companies are rapidly overtaking their American counterparts.

In a May report by Cryptopolitan, Nvidia CEO Jensen Huang stated that Chinese AI startups are rapidly filling the void left by U.S. companies exiting the market.

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This content is for informational purposes only and does not constitute investment advice.

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