Mira Kyivska

Nvidia rejects antitrust, liability waivers for AI firms

Nvidia rejects antitrust, liability waivers for AI firms
Nvidia opposes AI waivers

Debate over how to govern artificial intelligence is widening as major developers push for new rules while resisting some broad safety mandates. Nvidia Chief Executive Jensen Huang says AI companies should not receive exemptions from existing antitrust or product liability laws, while still backing regulation for specific AI-enabled products such as self-driving cars.

Highlights

  • Nvidia CEO Jensen Huang rejects calls for antitrust and product liability waivers for AI firms, as stated in a New York Times podcast interview released Wednesday.
  • Huang emphasizes that responsibility for AI safety testing rests with individual labs and opposes tying broader AI regulation to regulatory relief from current liability and antitrust rules.
  • Nvidia supports product-specific AI oversight, citing self-driving cars as examples, but maintains opposition to blanket AI safety regulation favored by some competitors.

Podcast comments set out Nvidia's regulatory stance

As reported by Reuters, Huang makes the comments in a podcast released on Wednesday during a nearly two-hour interview with New York Times podcast host Ezra Klein.

He reiterates his view that AI labs are responsible for testing their products and releasing models only when they are satisfied those systems are safe. Huang says requests for broader AI regulation should not be paired with demands for relief from current antitrust or product liability rules.

His remarks come after Anthropic Chief Executive Dario Amodei says in an essay published this month that AI labs should receive an antitrust waiver so they can work together on safety issues. Some U.S. officials, including Treasury Secretary Scott Bessent, also say AI firms have sought liability shields, though no specific companies are named.

Product-specific oversight remains acceptable

Huang says he is not opposed to regulation where AI is applied in defined products, pointing to self-driving cars as an example. He says vehicles and robotaxis already sit within an established regulatory framework and that U.S. auto safety regulators should step in with additional rules if gaps exist.

The comments underscore a narrower approach to AI oversight from Nvidia, which has opposed blanket AI safety regulation even as some rival labs call for it. They also add to a broader policy split in the U.S. AI sector over whether collaboration on safety should be supported through legal exemptions or handled under existing competition and liability law.

In our earlier article on the UN debate over AI governance, we covered how leading U.S. AI developers urged international coordination on AI risk management and a more cautious pace of development. We also noted the political pushback against global controls and how the resulting policy split could affect the business outlook for major AI labs facing heightened model-safety scrutiny.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.