Nvidia NVDA CEO Jensen Huang recently made a big statement about the future of AI in the United States. Speaking at a Bipartisan Policy Center event, Huang told U.S. government groups, like the Department of Energy (DOE) and the Department of Defense (DOD), that they need to get serious about artificial intelligence. His main point? The U.S. shouldn't just be making rules about AI – it should be leading the way in making and using it. Huang wants the government to build an AI supercomputer as an important step to boost innovation.
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“The thing I recommend most for every employee at Nvidia, every company CEO I meet, every leader I meet, is to engage artificial intelligence,” said Huang. He believes that the DOE and DOD should not just be setting policies for AI, but actively participating in its advancement. “Don’t just be a governor of AI, be a practitioner of AI,” he stressed.
According to Huang, a powerful AI supercomputer would revolutionize science and engineering by enabling the creation of novel algorithms that would increase American competitiveness abroad. The AI supercomputer has the potential to help with anything from national security to scientific progress.
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He explained that intelligence – both natural and artificial – is a critical resource that no country should outsource or limit. “No country in the world would say we should outsource our intelligence to anybody else. No country in the world would say we have an abundance of intelligence; let’s put a lid on this,” Huang pointed out.
In other words, the United States must continue to advance its AI capabilities if it wants to maintain its global leadership position. Huang also discussed the idea of “sovereign AI,” which he defines as guaranteeing that any nation maintains sovereignty over its own artificial intelligence, data, language and culture.
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Huang explained how AI can help people work better in many areas, like energy, health care and even policymaking. He said AI allows us to “be more productive, make more money and hire more people.”
He dispelled concerns that AI will replace workers, saying that the true threat would come from someone using AI to replace a worker who doesn’t. AI is a tool that can make people’s work easier and those who can use it effectively will have a competitive advantage.
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Huang also discussed “AI factories,” or data centers that train AI models. He compared AI production to the Industrial Revolution, saying that just as previous factories needed energy to build products, AI factories will need energy to build intelligence.
He was very clear in saying that even though these AI factories will consume a lot of energy, they will be well worth it in the long run since they will provide new capabilities and efficiencies.
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