David Sacks accuses Anthropic of regulatory capture against open source AI

David Sacks, co-chair of the President's Council of Advisors on Science and Technology, accused Anthropic of pursuing 'sophisticated regulatory capture' by advocating for a self-regulatory body that would impose pre-release approval requirements on AI models, which he says would effectively kill open source AI. Sacks argued on the All-In Podcast that such compliance requirements would be feasible for closed models like Anthropic's Claude but impossible for open source models, and he warned this could widen the innovation gap with China, where open-weight models have recently topped benchmarks.

Via axios.com David Sacks accuses Anthropic of regulatory capture against open source AI The White House tech advisor warns that a proposed self-regulatory body could quietly kill open source AI models through compliance requirements they can never meet David Sacks, venture capitalist and co-chair of the President’s Council of Advisors on Science and Technology, is sounding the alarm on what he calls a quiet regulatory strategy to suffocate open source AI. His argument: you don’t need to ban something outright if you can just regulate it into irrelevance. During an episode of the All-In Podcast, Sacks laid out a scenario in which a self-regulatory organization designed for AI oversight gradually morphs into a mandatory pre-release approval agency. Think of it as a DMV for AI models, except instead of waiting in line to renew your license, developers would need to get their models blessed before releasing them to the public. The compliance trap The core of Sacks’ concern is structural. A pre-release approval regime would impose compliance requirements that proprietary, closed models from companies like Anthropic could feasibly meet. Open source models, by their very nature, cannot. Once you release an open source model into the wild, it’s out there. It’s decentralized, forkable, and immutable. You can’t recall it for a safety audit the way Anthropic can update Claude behind a closed API. Requiring pre-release certification would essentially create a regulatory framework where closed models pass and open models fail by default. Sacks specifically named Anthropic, the company led by CEO Dario Amodei, as the primary actor pursuing what he described as “sophisticated regulatory capture.” In his telling, Anthropic has positioned itself as the responsible adult in the room, advocating loudly for AI safety while quietly lobbying for regulatory structures that happen to favor its own business model. The industry split What makes Sacks’ framing notable is the degree of isolation he attributes to Anthropic. According to him, virtually the entire tech industry supports open source AI development, with Anthropic standing as the notable exception. Meta, which has invested heavily in its open-weight Llama model family, represents the other end of the spectrum, betting that open release accelerates adoption and ecosystem development. The competitive dimension extends well beyond Silicon Valley. Chinese-developed open-weight models have recently topped or approached critical benchmarks, a development that Sacks has used to sharpen his argument about American competitiveness. If the US constrains open source AI through regulatory friction while China faces no such limitations, the talent and innovation gap could widen in the wrong direction. Sacks has been vocal on X about this framing, repeatedly invoking the principle of “permissionless innovation,” the idea that developers should be able to build and release technology without needing prior government approval. What this means for the AI landscape The companies most exposed to this regulatory risk are the ones building in the open. Meta’s Llama ecosystem, Mistral, Stability AI, and the broader constellation of startups and research labs that depend on freely available model weights all face a scenario where their core distribution model becomes legally complicated, if not outright impossible. Sacks’ warning also carries weight because of his current position. As co-chair of the President’s Council of Advisors on Science and Technology, he’s not just a podcast commentator. He has a direct channel to policy discussions, which means his framing of the issue, regulatory capture dressed up as safety, could influence how the White House approaches AI governance. Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy https://cryptobriefing.com/editorial-policy/ .