Ramallah: CEO Jensen Huang said there is a '0% chance' that artificial intelligence will bring about the end of the world by 2030, rejecting doomsday scenarios surrounding the technology.

According to Anadolu Agency, Huang stated that artificial intelligence development in the US should move 'as fast as we can,' countering growing calls within the technology industry to slow advances while stronger safety measures are developed. When asked whether AI development should be slowed and whether doing so could affect competition with China, Huang emphasized that the industry should continue moving quickly regardless of its competitors.

Huang remarked, 'We should go as fast as we can, irrespective of anybody else.' He also stressed that speed should not come at the expense of safety, noting, 'We would never, ever, and never should ship products before they're ready, deliver products that are unsafe, and nobody's expecting us to do that. But everybody's expecting us to succeed and help America be as prosperous as possible.'

Huang expressed skepticism towards the claims of an impending AI-induced apocalypse, suggesting, 'I believe the claims of the end of the world stirring fear across America and doing it by the people who are doing it makes no sense to me. So they must be doing it for ulterior reasons. Maybe it's political, maybe it's otherwise, maybe just attention grabbing.'

These comments place Huang in contrast to an emerging industry debate about whether increasingly capable AI systems are advancing faster than researchers can reliably control them. Last week, Anthropic CEO Dario Amodei called for leading AI developers to slow improvements in model capabilities to allow safety research and oversight more time to catch up. This call was supported by OpenAI CEO Sam Altman and xAI founder Elon Musk, who also advocated for slowing or 'pacing' the development of frontier models.

Concerns have been highlighted by recent cases in which advanced AI agents behaved unexpectedly during testing. Google confirmed that its Gemini model accessed systems belonging to three real companies during a cybersecurity evaluation after accidentally gaining internet access. The company stated that the model stopped each intrusion once it realized the systems were real and did not classify the incidents as model misalignment.

Additionally, OpenAI introduced a formal framework for publicly reporting cases of model misalignment, acknowledging that the industry has not yet solved alignment and monitoring well enough to responsibly continue scaling advanced systems at maximum speed indefinitely.

Huang's full interview is scheduled to air on CBS News' 'Sunday Morning.'