Nvidia's Jensen Huang pitches AI as national infrastructure at G20, pegging one gigawatt at $50–60 billion

Jensen Huang has a new unit of measurement for the AI age, and it is denominated in gigawatts and tens of billions of dollars. Speaking at the G20 Innovation Ministerial in Chapel Hill, North Carolina on September 2, the Nvidia CEO laid out a framework for how nations should think about investing in artificial intelligence: one gigawatt of AI infrastructure costs roughly $50 billion to $60 billion to build, and it should be treated with the same urgency as power grids and highways.

The pitch: AI as the great equalizer

Huang described AI as “the great equalizer,” arguing it democratizes intelligence and capabilities across borders. The logic goes something like this: if a nation with limited research institutions can deploy frontier AI models at scale, it gains access to problem-solving capacity that previously required decades of institutional knowledge to build.

Huang was not alone on stage. OpenAI CEO Sam Altman and Anthropic co-founder Tom Brown also addressed the ministerial, making it less a tech keynote and more a coordinated lobbying effort by the leading AI companies. Commerce Secretary Howard Lutnick rounded out the lineup, reinforcing the US government’s alignment with the industry’s messaging.