Why NVIDIA's Jensen Huang wants AI to be more open

NVIDIA CEO Jensen Huang made his first-ever post on X advocating for open-weight artificial intelligence, arguing that America's long-term AI leadership depends on an ecosystem where developers, startups, universities and businesses can freely innovate on top of powerful models. Huang's remarks accompanied a joint letter titled Open Weights and American AI Leadership, signed by NVIDIA and several leading technology companies, which draws a parallel with the open-source software movement of the 1980s and warns that restricting access could push AI innovation to other countries.

Why NVIDIA's Jensen Huang wants AI to be more open For years, the AI race has been defined by one question: Who can build the smartest model? NVIDIA CEO Jensen Huang believes the more important question is different. Who gets to build with it? In his first-ever post on X, Huang made a forceful case for open-weight artificial intelligence, arguing that America's long-term edge in AI will come not from a handful of closely guarded systems, but from an ecosystem where developers, startups, universities and businesses can freely innovate on top of powerful models. His remarks accompanied a joint letter titled Open Weights and American AI Leadership, signed by NVIDIA and several leading technology companies and organisations. The letter draws a parallel with the open-source software movement of the 1980s, arguing that the choices America makes today about AI could determine whether innovation flourishes across the economy or remains concentrated in the hands of a few companies. The Grand Design 17 Jul 2026 - Vol 05 | Issue 29 How the Modi government is planning to get its biggest political agenda passed in Parliament Read Now The Grand Design /magazine/the-grand-design "AI will transform every industry, power every company, and be built by every country," Huang said, adding that the future needs both frontier closed models and frontier open models. At the heart of the debate is the idea of open-weight AI. Unlike proprietary AI systems that remain locked inside a company's servers, open-weight models allow organisations to download a model's trained parameters, inspect them, modify them and run them on their own infrastructure. That means companies can customise AI for their own needs without having to build massive models from scratch or pay a provider every time they use one. Supporters argue that this approach could dramatically widen access to advanced AI. Startups could innovate without enormous computing budgets. Universities could conduct cutting-edge research. Businesses and public institutions could deploy AI while retaining greater control over their own data instead of relying entirely on a single vendor. The letter argues that this openness is precisely what will keep America ahead in the global AI race. Rather than measuring leadership by the success of one dominant frontier model, the signatories say the real advantage lies in creating an ecosystem where thousands of organisations can experiment, compete and build new products. They also contend that open-weight AI could strengthen cybersecurity by allowing researchers to examine models closely, uncover vulnerabilities and develop stronger safeguards before attackers can exploit them. The supporters do not ignore the risks. Once model weights are released, they can be modified, redistributed and are nearly impossible to recall. Critics have warned that this could make advanced AI easier to misuse. But Huang and the other signatories argue that restricting access is not necessarily the safer path. In their view, openness enables the broader research community to identify flaws, improve security and make AI systems more resilient over time. The letter also urges policymakers to focus on expanding access to computing infrastructure, shared datasets and evaluation tools while resisting regulations that could curb competition or push AI innovation to other countries. Huang's position has found backing from some of the biggest names in technology. Meta CEO Mark Zuckerberg has argued that open-source AI prevents excessive concentration of power. OpenAI CEO Sam Altman has said the United States should lead in both open-source and proprietary AI. Microsoft CEO Satya Nadella has similarly described open-weight models as essential to a healthy AI ecosystem that can strengthen competitiveness, create economic opportunity and reinforce national security. The message from Silicon Valley is becoming increasingly clear. The next chapter of the AI race may not be decided solely by who builds the most powerful model. It may be decided by who creates the most vibrant ecosystem around it—and on that question, Jensen Huang has made his position unmistakably clear. With inputs from ANI