Joe Lonsdale said the U.S. government should keep any potential review of artificial intelligence technology as limited and targeted as possible [1].

This stance comes as the U.S. considers implementing a pre-release review process for AI models. Such a move could significantly alter the pace of innovation and the competitive landscape for American tech firms.

Speaking on CNBC’s "Squawk Box," Lonsdale, a founding partner of venture firm 8VC and co-founder of Palantir Technologies, said reports that the government is weighing a review of AI before public release [1]. He said the focus should remain on specific concerns rather than the imposition of broad regulation [2].

Lonsdale’s comments reflect a broader debate within the tech industry regarding the balance between national security and economic growth. He said that an overly restrictive regulatory environment could hinder the U.S. in the global AI race [1].

During the segment, Lonsdale also discussed the dynamics of defense spending and the ongoing conflict involving Iran [1]. He connected these geopolitical tensions to the strategic importance of maintaining a technological edge in AI development [2].

Additionally, Lonsdale touched upon the high-profile rivalry between industry leaders Elon Musk and Sam Altman [1]. This competition often mirrors the wider ideological split between those advocating for open-source development, and those favoring more controlled, safety-oriented deployments [1].

Lonsdale said that targeted reviews are the most effective way to manage risk without stifling the industry [2]. He said the government must be precise in its approach to ensure that the U.S. remains the leader in the field [1].

The U.S. government should keep any potential review of artificial intelligence technology as limited and targeted as possible.

The push for 'targeted' rather than 'broad' regulation highlights a strategic effort by venture capitalists and tech founders to prevent the U.S. from adopting a regulatory framework similar to the European Union's AI Act. By advocating for narrow reviews, industry leaders aim to maintain the speed of iteration necessary to outpace global competitors while ostensibly addressing national security risks.