Nvidia chief executive Jensen Huang has rejected warnings that artificial intelligence could cause human extinction within the next few years, describing such predictions as exaggerated and unsupported by science.
Huang said in a CBS News interview that he saw no possibility of AI ending the world by 2030, responding to recent warnings from researchers associated with Anthropic and other technology companies.
The comments came after former Anthropic researcher Jacob Coxon warned that increasingly capable AI systems could become “superhuman” and potentially threaten humanity within the decade. His remarks triggered renewed debate across the technology industry over how quickly advanced AI should be developed and what safeguards should be introduced.
Huang argued that creating fear around AI was unnecessary and said developers should continue advancing the technology while ensuring that products are safe before they are released. He has previously urged the industry to move rapidly rather than slow development because of concerns over possible future risks.
The Nvidia chief also questioned the need for additional government regulation, arguing that existing laws covering areas such as cybersecurity, product liability and unauthorised access could already address many harmful uses of AI.
His position contrasts with calls from Anthropic chief executive Dario Amodei, OpenAI chief executive Sam Altman and others for stronger safety measures and greater caution as AI systems become more powerful. Amodei has advocated independent monitoring of AI developers and greater coordination on safety standards.
The disagreement comes as Nvidia benefits enormously from the rapid expansion of AI, with its specialised processors powering many of the industry’s leading systems. The company has become a central player in the global AI boom, making the pace and safety of development an important business as well as technological issue.
The debate is expected to intensify as governments, technology companies and researchers weigh the economic opportunities of AI against concerns about cybersecurity, misuse and longer-term risks.
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