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Science/Tech

AI Leaders Divided on Regulation as US and China Race for Dominance

Tech CEOs and US politicians are clashing over the need for AI regulation, amidst a geopolitical race between the US and China to lead in artificial intelligence.

By World Brief · 2026-09-15

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The global competition in artificial intelligence is intensifying, with both the United States and China vying for technological leadership. While the U.S. currently holds an advantage in areas like talent and capital, China is rapidly closing the gap in computing power and quickly developing frontier AI models. China's strategic 15th Five-Year Plan (2026-2030) places AI at its core, aiming for self-reliance and global influence through initiatives like promoting open-source AI and establishing a World Artificial Intelligence Cooperation Organization. This fierce competition has led to a split in AI development strategies, with the U.S. aiming to restrict China's access to advanced AI chips.

Within the U.S., a significant divide exists regarding the need for AI regulation. Prominent tech CEOs, including Dario Amodei of Anthropic, Sam Altman of OpenAI, and Elon Musk of xAI, have issued urgent warnings about the potential dangers of rapidly advancing AI, advocating for a slower development pace and increased governmental oversight. However, President Donald Trump has resisted these calls, dismissing concerns as a "conspiracy" or "hoax" and emphasizing the importance of maintaining America's lead over China. Vice President JD Vance has echoed this skepticism, cautioning that regulation could be a "Trojan horse" hindering U.S. competitiveness.

Despite some bipartisan legislative efforts in Congress to introduce AI safeguards, such as "kill switch" measures, broad federal action appears unlikely ahead of upcoming elections due to political disagreements. Democrats, like Senator Bernie Sanders, generally support stronger regulations and international agreements, including with China, to address shared AI risks. Meanwhile, China's Foreign Ministry has criticized U.S. calls for slowing AI development as "fear-mongering," asserting that global AI governance requires multilateral cooperation and an equal emphasis on development and security, with systems remaining under human control.

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