What’s the current hot topic in AI? Is it the fear of uncontrollable AI models or the volatile markets affected by them? Or perhaps, it’s about the very name “AI”—with debates on whether it should be called superior, extreme, or supreme intelligence. Donald Trump recently emphasized the importance of the name, declaring AI should be officially called “Super Intelligence” in U.S. documents, arguing that “artificial” makes the intelligence sound fake. Meanwhile, China is moving beyond naming debates to actively shaping AI’s future with clear priorities: open-source development, human control, wider technology access, and international rules. China’s government has implemented a thorough action plan addressing computing power, data access, standards, and safety governance, and is extending AI support to developing countries. Though China’s approach raises concerns about restrictive policies and governance aligned with its own interests, it contrasts sharply with Trump’s focus on naming and rejecting global AI governance. Ultimately, what’s more crucial than AI’s name is who controls its development and rules—an issue China is tackling head-on while the U.S. remains distracted by semantics.
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