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Former DHS Secretary: AI's Biggest Risk Isn't Losing to China

Former U.S. Secretary of Homeland Security Janet Napolitano stated at the Inc. 5000 conference that the primary AI risk isn't competition with China, but rather building public trust in the technology.

15 October 2026
Former DHS Secretary: AI's Biggest Risk Isn't Losing to China

Former U.S. Secretary of Homeland Security Janet Napolitano has argued that the greatest risk associated with the development of artificial intelligence (AI) is not competition against China, but rather managing domestic challenges like building public trust.

Napolitano, who served as Secretary of Homeland Security from 2009 to 2013, spoke at the Inc. 5000 Conference and Gala in Dallas. She emphasized that the framing of winning or losing to China in AI is an inaccurate dichotomy. According to Napolitano, China faces similar risks to the United States, but there is a lack of productive ways for the two great powers to interact.

Her perspective is that the core challenge lies more in rebuilding public trust in AI. The rapid advancement of the technology has led to resistance and skepticism about whether large AI companies are acting in the public interest. A Pew Research Center poll indicates that half of Americans are more concerned than excited about the prospect of daily AI use, citing concerns over job displacement, high energy costs, and even the potential extinction of humanity.

Napolitano, however, stressed the importance of restoring trust, as AI has the potential to significantly accelerate economic growth. The potential benefits of AI, such as curing diseases and achieving breakthroughs in complex fields, are considered tantalizing. Meanwhile, major technology companies are investing heavily in AI.

Eric Ries, founder of the Long-Term Stock Exchange, who also participated in the panel discussion, echoed Napolitano's concerns, highlighting that another significant pain point for the country is the poor governance of AI. This responsibility ultimately falls to Congress, which has struggled for years to establish effective regulatory approaches for AI.

Original source: inc.com