The U.S. administration is reportedly exploring the possibility of replacing the term "artificial intelligence" with "super intelligence" in its official communications, according to recent reports. This proposed change comes amid growing interest in the potential of advanced technologies capable of surpassing human intelligence in various domains. The term "super intelligence" is often used in theoretical discussions about systems that could outperform humans in almost all cognitive tasks, though it remains a speculative concept in many scientific circles. The proposed terminology shift has been adopted quickly by the administration, suggesting that it may be moving toward a more specific or strategic language to describe the technologies it is focusing on. This could signal a broader policy or research emphasis on systems with capabilities that go beyond traditional artificial intelligence, which currently refers to systems designed to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. However, the change may cause some challenges for researchers and academics who have been using these terms to describe different concepts. For example, "artificial intelligence" is a broad field encompassing a wide range of technologies, from simple automation to complex machine learning systems. Replacing it with "super intelligence" could lead to confusion, especially if the new term is applied inconsistently or without clear definitions. The shift in terminology also raises questions about how the administration plans to communicate its goals and policies to the public and to the scientific community. Clear and consistent language is essential in policy discussions, particularly when dealing with complex and rapidly evolving fields like artificial intelligence. As the administration continues to explore this change, it will be important to monitor how it affects both public understanding and academic discourse.