Nvidia CEO Jensen Huang Reveals His Strategy for Using Multiple AIs to Enhance Decision-Making

Nvidia CEO Jensen Huang revealed his approach to using multiple AI systems to ensure the best possible outputs and enhance his own cognitive skills. During an interview on CNN’s “Fareed Zakaria GPS” on Sunday, Huang explained that he treats AI interactions similarly to consulting multiple doctors for a medical opinion. Huang stated that when receiving an answer from an AI, he doesn’t accept it at face value. Instead, he prompts the system to verify if it can provide a better response. He uses several AI models, having them critique and compare each other’s outputs to derive the most accurate and valuable information. "I ask the same question of multiple AIs. And I ask them to compare each other's notes and then, you know, give me the best of all the answers," he explained. At the 28th annual Milken Institute Global Conference in May, Huang elaborated on his daily use of AI, describing it as a tutoring tool. He often asks AI to start explanations at a basic level, akin to explaining concepts to a 12-year-old, before progressing to more advanced topics. This method helps him build a comprehensive understanding of new areas. Huang’s reliance on AI is not unique among tech leaders. Microsoft CEO Satya Nadella disclosed in a May Bloomberg interview that he uses Microsoft Copilot to summarize his emails and prepare for meetings, illustrating the growing integration of AI in executive workflows. When asked about potential cognitive impacts of AI use, particularly in the context of an MIT study showing that using tools like ChatGPT to write essays can come with a cognitive cost, Huang expressed skepticism. He believes that his cognitive skills have improved through his daily AI interactions, emphasizing the importance of formulating thoughtful questions and engaging analytically with AI outputs. Huang’s approach highlights the evolving role of AI in decision-making and knowledge acquisition. By leveraging multiple AI systems and promoting critical thinking, leaders like Huang aim to enhance, rather than diminish, their cognitive capabilities. This strategy underscores the potential of AI as a complementary tool in the hands of knowledgeable users, rather than a replacement for human thought. Industry insiders view Huang’s method as a best practice for AI utilization in professional settings. His emphasis on questioning and comparing AI outputs aligns with the growing consensus that AI should be used to augment human intelligence, not supplant it. Nvidia, known for its pioneering work in AI hardware and software, continues to lead the charge in developing and integrating AI technologies that promote efficiency and deeper understanding.