Nvidia’s Jensen Huang Pushes Back on Anthropic CEO’s AI Warnings

Nvidia CEO Jensen Huang sharply criticized Anthropic CEO Dario Amodei’s recent warnings about the risks of artificial intelligence, saying he disagrees with “almost everything” his fellow AI executive believes. The comments came during a press briefing at the VivaTech conference in Paris, where Huang responded to Amodei’s prediction that AI could automate up to half of all entry-level office jobs within the next five years.

Huang, who leads the world’s most influential AI hardware company, challenged not only Amodei’s forecasts but also the broader philosophy of concentrating AI development in a small group of actors.

“One, he believes that AI is so scary that only they should do it,” Huang said. “Two, [he believes] that AI is so expensive, nobody else should do it … And three, AI is so incredibly powerful that everyone will lose their jobs, which explains why they should be the only company building it.”

Huang added: “I think AI is a very important technology; we should build it and advance it safely and responsibly. If you want things to be done safely and responsibly, you do it in the open … Don’t do it in a dark room and tell me it’s safe.”

Anthropic Responds: “Dario Has Never Claimed That”

In response to Huang’s remarks, an Anthropic spokesperson told Fortune that Amodei has not argued that only Anthropic should build AI. Instead, they pointed to Amodei’s calls for national transparency standards—rules that would apply across all AI developers, including Anthropic.

“Dario has never claimed that ‘only Anthropic’ can build safe and powerful AI,” the company said. “He has advocated for a national transparency standard for AI developers (including Anthropic) so the public and policymakers are aware of the models’ capabilities and risks and can prepare accordingly. He has also raised concerns about the economic impact of AI—particularly on entry-level jobs. Dario stands by these positions and will continue to do so.”

Amodei has been vocal about the potential risks of advanced AI, particularly the economic impact and the dangers of misuse. In public interviews, including a recent one with Axios, he predicted that generative AI could replace 50% of all entry-level white-collar jobs. He also raised concerns about rogue actors weaponizing AI—whether for cyberattacks, bioweapons, or large-scale social disruption.

Huang’s View: AI Will Change Work, Not End It

Huang acknowledged that AI will change the job market but rejected the idea that it would lead to mass displacement.

“Everybody’s jobs will be changed. Some jobs will be obsolete, but many jobs are going to be created,” he said. “Whenever companies are more productive, they hire more people.”

His comments reflect a more optimistic view of AI’s economic impact—one in which automation leads to growth, not collapse. Huang argued that fears of widespread job loss overlook the potential for AI to increase productivity, spur new industries, and expand hiring in the long term.

Nvidia’s Broader Vision: Global Expansion and Quantum Ambitions

Huang’s remarks came as part of a broader briefing tied to Nvidia’s GTC Paris conference, where the company announced a new partnership with French AI startup Mistral. The collaboration is part of Nvidia’s effort to build out AI infrastructure in Europe, where demand for computing power continues to outpace supply.

Huang said Nvidia is helping launch more than 20 “AI factories” across the continent and assured European researchers and startups that their “GPU shortage will be resolved” soon.

He also highlighted progress in quantum computing, pointing to Nvidia’s hybrid platform, CUDA-Q. Huang described the field as reaching an “inflection point,” suggesting that quantum-classical computing could begin solving practical problems in the near future.

What This Means: Two Visions of AI’s Future—and Who Should Shape It

The exchange between Huang and Amodei reflects a deeper divide in the AI industry—not just over how powerful the technology might become, but who should build it and how it should be governed.

Huang emphasizes openness, shared development, and long-term economic growth driven by innovation.

Amodei focuses on risk mitigation, slow scaling, and stronger safeguards around powerful models.

Both approaches acknowledge that AI will reshape society—but they differ in what they see as the biggest danger: unchecked development or overly concentrated control.

As generative AI becomes more central to the global economy, these debates will help shape regulations, access to computing resources, and public trust. The conversation is no longer just about technology—it’s about how much power should reside with those who build it, and what responsibilities come with that role.

Editor’s Note: This article was created by Alicia Shapiro, CMO of AiNews.com, with writing, image, and idea-generation support from ChatGPT, an AI assistant. However, the final perspective and editorial choices are solely Alicia Shapiro’s. Special thanks to ChatGPT for assistance with research and editorial support in crafting this article.