‘Code Red’ Author Wynton Hall Warns U.S. Must Win AI Race Against China Without Sacrificing Democratic Values

Wynton Hall, author of the book Code Red: The Left, the Right, China, and the Race to Control AI, appeared on a national cable news program to argue that the United States must urgently compete with China in artificial intelligence development — but must do so without replicating China’s authoritarian approach to technology governance. Hall’s remarks underscore a growing bipartisan debate about how the U.S. can maintain its technological edge while preserving civil liberties, free markets, and democratic oversight.

The tension between competing aggressively in artificial intelligence and maintaining democratic norms has become one of the defining technology policy questions of the decade. China’s approach to AI development is deeply intertwined with its state apparatus: the Chinese Communist Party has deployed AI-powered facial recognition across its surveillance networks, used algorithmic systems to monitor and control its population — most notably in Xinjiang province — and has made AI dominance a central plank of its “Made in China 2025” industrial strategy. Beijing’s New Generation Artificial Intelligence Development Plan, released in 2017, explicitly set a goal of becoming the world’s leading AI innovation center by 2030. Hall’s argument centers on the idea that while the U.S. must match or exceed China’s pace of AI development, it should not adopt the centralized, state-controlled model that gives Beijing certain structural advantages — such as unrestricted access to massive datasets from its 1.4 billion citizens without meaningful privacy protections.

The framing of “beating China without becoming China” taps into a broader policy fault line. On one side, some national security hawks and industry leaders argue that excessive regulation — particularly around data usage, algorithmic transparency, and safety testing — could slow American AI innovation and hand China a decisive advantage. On the other side, civil liberties advocates, some technologists, and various lawmakers warn that deregulating AI in the name of competition could lead to mass surveillance, algorithmic discrimination, and erosion of privacy rights that would mirror the very authoritarianism the U.S. seeks to counter. The Biden administration’s 2023 executive order on AI safety attempted to strike a balance, imposing safety and reporting requirements on frontier AI models while encouraging innovation. The Trump administration has signaled a more deregulatory posture, with executive actions aimed at rolling back certain AI safety mandates and promoting American AI dominance through reduced government oversight. Hall’s position appears to align with those who favor lighter regulation but with explicit guardrails to prevent government overreach and protect individual freedoms.

Hall’s book enters the public discourse at a moment when AI governance is being debated not only domestically but internationally. The European Union’s AI Act, which took effect in stages beginning in 2024, represents the most comprehensive regulatory framework for artificial intelligence in the world, and some U.S. policymakers have pointed to it as either a model or a cautionary tale. Meanwhile, the U.S. Senate has held multiple hearings on AI safety, workforce displacement, and national security implications. The question of how to structure AI policy — whether through light-touch industry self-regulation, comprehensive federal legislation, or sector-specific rules — remains unresolved. Hall’s central thesis that the competition should not come at the cost of American values is one that resonates across political lines, even as the specific policy prescriptions to achieve that balance remain deeply contested. As AI capabilities continue to advance at a rapid pace, with models becoming increasingly powerful and autonomous, the stakes of this debate will only intensify in the months and years ahead.