Nvidia chief urges closure of AI labs that lack safety controls, names OpenAI

Nvidia’s chief executive Jensen Huang warned that AI research facilities which cannot guarantee control over their models ought to be closed, singling out OpenAI as an example, Times of India reported. The statement came during a recent industry forum where Huang emphasized that releasing AI products without proven safety mechanisms is irresponsible.

According to the outlet, Huang argued that developers must be absolutely certain that their systems are both secure and controllable before they reach the market. He said that the “risk of runaway AI” is too great to allow unchecked experimentation, and that regulators should step in when labs fail to meet basic safety standards.

The Nvidia boss referenced a series of high‑profile mishaps involving large language models, including unexpected outputs and privacy concerns that have surfaced over the past year. Those incidents, he suggested, illustrate why a hard line on laboratory oversight is needed.

AI safety has become a focal point for governments and tech firms worldwide. In 2023, the European Union proposed the AI Act, and the United States released voluntary guidance for AI risk management. India, too, is drafting a national AI strategy that stresses ethical development and accountability. Huang’s remarks echo a growing consensus that without enforceable standards, powerful models could be misused or behave unpredictably.

Industry analysts say that such a stance could pressure startups and established players alike to invest heavily in safety research, potentially slowing the pace of new product launches. Investors may also demand clearer risk‑mitigation plans before funding AI ventures. For Nvidia, which supplies the GPUs that power most large‑scale models, the call for stricter controls aligns with its own interest in maintaining a stable ecosystem.

While Huang’s comments have sparked debate, they also highlight the tension between rapid innovation and responsible stewardship. Whether regulators will adopt his hard‑line recommendation remains to be seen, but the conversation underscores the need for clear rules as AI capabilities continue to expand.