U.S. Leadership in AI with Jensen Huang, Founder and CEO of NVIDIA, and Congressman Ro Khanna

Summary

The discussion focused on how the United States can sustain AI leadership while spreading its benefits, managing risks, and strengthening the economy.

AI as an Industrial Transformation

Jensen Huang described AI as a five-layer system spanning energy, chips, computing infrastructure, models, and applications. He argued that U.S. leadership depends on succeeding across all five layers—and especially on putting AI to practical use throughout society and industry. He characterized AI data centers as “factories” that turn electricity into generated output.

U.S. Strengths and Domestic Industry

Ro Khanna highlighted the country’s ability to attract international researchers and entrepreneurs, its leading research universities, academic freedom, and cooperation among government, universities, and industry. He argued that these advantages require continued research funding and openness to global talent.

Khanna also said that the loss of manufacturing has harmed national security and communities. He called for a modern industrial strategy, including targeted investment in critical technologies and supply chains, alongside strategic tariffs where appropriate. Huang argued that AI growth can help drive U.S. reindustrialization through investment in chip and computer manufacturing, while emphasizing that a strong economy is needed to support those investments.

Balancing Competition and Cooperation with China

Khanna argued that the United States should reduce its dependence on China for critical materials and products, while avoiding isolationism and pursuing cooperation where possible. Huang likewise said the U.S. should compete confidently without becoming anti-China or anti-Chinese. He noted that global supply chains are interdependent and that restrictions can have unintended consequences.

AI, Work, and Workers’ Economic Security

Huang argued that AI often automates tasks rather than eliminating entire occupations. He cited radiology, where AI is widely used but demand for radiologists has increased, and software engineering, where AI tools can enable developers to take on more work. He said workers should learn to use AI, since people who use it may be better positioned than those who do not.

Khanna agreed that AI could expand productivity and create opportunities, but warned that workers may not automatically share in the gains. He called for jobs programs, training, and policies that give workers economic security and a stake in productivity growth.

Regulation and Innovation

Khanna supported safeguards for powerful frontier systems while also maintaining open models so U.S. technology remains widely adopted. He argued that American AI should be trusted for its safety and privacy.

Huang favored regulating applications and use cases, while cautioning against premature rules. He emphasized that policymakers should consider how restrictions affect interdependent industries and U.S. competitiveness.

Inclusion and Opportunity

The speakers presented AI as an opportunity, with inclusion as a priority. Khanna pointed to potential advances in medicine, education, and manufacturing, but said technological progress should serve workers and communities and strengthen social cohesion. Huang urged students to see AI as an unusually accessible tool and encouraged them to build expertise in applying it across fields. Both stressed that public confidence and broad participation are essential to realizing AI’s promise.

Presenters and Contributors

• Jensen Huang: Founder and CEO of NVIDIA
• Ro Khanna: U.S. representative for California’s 17th District
• H.R. McMaster: Moderator
• Opening speaker: From Stanford GSB; not identified in the subtitles