Nvidia CEO Jensen Huang has urged industry peers to cease making dire predictions regarding artificial intelligence. Speaking on the "Memos to the President" podcast on Thursday, Huang argued that technology leaders should be more mindful of their public statements about the impact of AI. He specifically criticized claims that the technology could drastically alter the workforce or threaten human existence. Huang pointed to Anthropic CEO Dario Amodei, who recently predicted that AI could replace 50% of entry-level white-collar jobs within the coming years. Huang dismissed such comments as unhelpful, suggesting that holding a CEO title does not grant one a God complex or total knowledge of the future. He emphasized the need to ground discussions in facts rather than speculation. Furthermore, Huang challenged assertions that AI poses an existential threat to humanity. He specifically targeted comments made by Elon Musk, who previously stated on a podcast that there is a 20% chance AI could lead to human annihilation. Huang labeled this assessment as ridiculous and nonsensical, noting that such outcomes are unlikely to occur. The debate highlights the deep uncertainty surrounding the long-term effects of AI on the global economy and society. While some proponents believe the technology will drive efficiency, create new employment opportunities, generate wealth, and solve complex problems, others fear mass job displacement, social isolation, and catastrophic scenarios. This tension was recently illustrated by the so-called Saaspocalypse narrative, which suggested that AI would spell the end for the software-as-a-service industry. However, recent earnings reports from major companies like Atlassian, Twilio, and Five9 have challenged this pessimistic view, showing strong financial performance despite the rise of AI. As AI continues to permeate nearly every sector of the economy, the gap between hype and reality remains a central topic of discussion. Huang's comments reflect a growing sentiment among industry veterans who believe that fear-mongering hinders constructive progress. Instead of focusing on worst-case scenarios, he advocates for a more measured approach that acknowledges both the potential and the limitations of current technology. By calling for a return to factual discourse, Huang aims to shift the conversation away from sensationalism and toward a realistic understanding of how AI will evolve and integrate into daily life. This approach seeks to prevent unnecessary panic while allowing the industry to mature without the distraction of exaggerated threats.