Nvidia CEO Jensen Huang has renewed his pushback against AI doomsday scenarios, telling CBS News that 2030 will not mark the end of the world and arguing that artificial intelligence can be safely managed. During a recent interview, Huang said there is '0% chance' that the world will end in 2030, dismissing the characterization of the year as an extinction risk. The CEO, whose company is the leading provider of AI processors, has reiterated his stance that artificial intelligence can be safely managed and has also argued against the need for new regulations. This position directly contradicts recent warnings from industry leaders about the need to slow AI development.
Sam Altman and Elon Musk have backed Anthropic CEO Dario Amodei's call to slow the pace of frontier AI development, following warnings about severe cybersecurity and systemic risks. According to reports, Amodei warned that increasingly capable AI agent swarms could pose severe cybersecurity and systemic risks within the next year. The rare alignment between leaders of rival AI companies follows a fresh wave of warnings from researchers and executives over the speed at which frontier models are being developed and deployed. OpenAI CEO Sam Altman publicly backed parts of Amodei's proposal, saying he agreed that frontier development needed to be paced and supported the idea of independent evaluators being given deep access to AI systems. Elon Musk, who has repeatedly warned about the long-term risks of advanced AI, also backed Amodei's position, writing on X that 'Dario is right'.
Nvidia CEO Jensen Huang has identified cybersecurity as the next major market for artificial intelligence, predicting it will become a 24/7 scramble requiring continuous AI-powered monitoring. Speaking at a technology conference hosted by Goldman Sachs, Huang argued that once AI gains the ability to write software at scale, it can also identify code vulnerabilities, exploit them, and close security holes. According to Huang's analysis, coding is one of the easiest applications for AI to learn because there is a binary outcome - software either works or it doesn't. The CEO frames AI-powered cybersecurity as a continuous workload of probing teams, responders, and models running at all times, noting that cyber defense will be one of the most compute-intensive applications in AI.
Huang's cybersecurity vision centers on CrowdStrike (NASDAQ: CRWD), which he describes as Nvidia's top security partner. The company's cloud-native platform is already embedded inside numerous corporate networks and is developing a growing stack of modules. According to Huang's presentation, CrowdStrike appears well-positioned for the AI-driven cybersecurity revolution, as the company's own threat research points to an 89% jump in AI-enabled attacks and breakout times as low as 27 seconds. This partnership strategy positions Nvidia to capitalize on the predicted cybersecurity market boom while providing CrowdStrike with the computing power and AI capabilities needed for continuous security monitoring.
Anthropic's Amodei called for independent monitors to be given continuous access to developers' research processes and urged greater coordination between leading AI companies, including engagement with China on safety. His essay outlining why the AI industry should 'pace the frontier' warned that developing increasingly powerful AI systems too quickly could be reckless, citing the possibility of misaligned agent swarms being used to launch large-scale cyberattacks or create persistent botnets capable of causing significant economic damage. OpenAI has indicated it would adopt a similar approach and share more details later, with Altman supporting the idea of independent evaluators being given deep access to AI systems. However, Huang's recent comments suggest he believes the industry should 'go as fast as we can, irrespective of anyone else' while maintaining safety standards, emphasizing that 'we would never ever, and never should, ship products before they're ready and deliver products that are unsafe'.
