Ackman warns China AI buildout threatens US democracy
Pershing Square CEO Bill Ackman warned that China's aggressive data center expansion poses a risk to US democracy in the race for artificial superintelligence. He noted that China is moving forward without regulatory constraints, while US hyperscalers face permitting delays and energy bottlenecks. Ackman argued that losing this race could place the US at a structural disadvantage regarding national security.

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Pershing Square CEO Bill Ackman warned that the United States risks losing its democracy if China wins the race for artificial superintelligence, citing the rapid buildout of data center infrastructure as a critical signal. In a social media post on Wednesday, Ackman highlighted that China is not imposing moratoriums on data centers, unlike parts of the US policy environment where regulatory constraints have slowed expansion. He argued that this divergence provides China with a strategic advantage in the global competition for AI dominance.
Ackman pointed to the massive computational power required to train next-generation AI systems, noting that facilities for scaling large language models are essential as compute demands rise. He identified Alibaba Group Holding Ltd., Tencent, Baidu Inc., and ByteDance as the corporate engines behind Beijing’s push, committing tens of billions to AI infrastructure build-out by 2027. Ackman framed this expansion as direct participation in a high-stakes global competition where leadership will be determined by access to compute, data, and energy at scale.
The investor connected the outcome of this race to broader geopolitical risk, stating that a decisive lead by China in superintelligence could place the US at a structural disadvantage. "Our country and democracy will be at risk," he warned. His comments come amid growing debate in Washington and Silicon Valley over balancing AI innovation with safety, regulation, and energy constraints. While US hyperscalers continue to invest heavily, permitting delays, environmental concerns, and grid limitations have emerged as potential bottlenecks.
China has integrated AI development into its long-term economic and military planning, utilizing a centralized approach that may allow for faster coordination of resources. Ackman’s remarks reflect a broader concern among investors and policymakers that AI is becoming a defining axis of geopolitical competition. He suggested that infrastructure decisions being made today could ultimately shape the global balance of power in the decades ahead.
How might US regulatory frameworks evolve to balance safety concerns with the urgent need to accelerate data center expansion?
Could the energy constraints facing US hyperscalers drive a shift in AI development towards more efficient, rather than just larger, models?
What specific legislative actions might Washington take to streamline permitting processes for critical AI infrastructure?






















