Terminology and Regulatory Implications
In AI research, "superintelligence" traditionally describes a hypothetical system that substantially exceeds human capabilities across a wide range of tasks. Current generative AI systems can outperform people in some areas but also make basic mistakes and struggle with sustained real-world reasoning. Researchers often distinguish between today’s AI, artificial general intelligence, and hypothetical superintelligence.
US officials argue that current AI systems have advanced far beyond what the word "artificial" suggests and that a stronger term better captures their economic importance. However, using "super intelligence" as a general replacement for AI could blur these distinctions and create confusion in scientific papers, regulation, and international agreements where precise definitions matter.
The US Treasury itself was still using "artificial intelligence" in official financial-sector guidance earlier this year, having released an Artificial Intelligence Lexicon and an AI Risk Management Framework in February. A global shift to "super intelligence" would require governments and institutions to decide whether they are merely changing the label or also changing the definition.