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Sacks Brands Amodei's Regulatory Push 'Hubristic' as Anthropic Fires Back

A public spat between Trump's former AI czar and Anthropic's CEO lays bare a billion-dollar question: who writes the rules for the most powerful technology on earth, and who benefits when they do?
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Wednesday, August 19, 2026

The numbers come first. Anthropic CEO Dario Amodei took the rare step of posting on X over the weekend to defend his company's approach to AI regulation and risk communication — and the response from the 'All In' podcast crowd was swift and pointed.

The Accusation on the Table

Investor Gavin Baker, speaking on the 'All In' podcast co-hosted by former Trump AI czar David Sacks, claimed he had been told 'by multiple people I trust' that Amodei had said Anthropic 'might be the only private company in the world at some point.' Baker called this evidence of a 'maximalist' vision in which only Anthropic and the U.S. government would control access to the most powerful AI systems.

Sacks went further, labeling the posture 'hubristic' and repeating his charge that Amodei's strategy amounts to 'regulatory capture' — using fear of AI risk to push government toward stringent rules that only Anthropic can easily satisfy, effectively pricing out smaller startups and open-source competitors.

Anthropic's Denial

Anthropics chief brand and communications officer, Sasha de Marigny, called the claim 'complete and utter nonsense' on X. Amodei himself did not directly address Baker's specific allegation — a gap Sacks noted publicly.

What Amodei did address was the broader regulatory philosophy. He argued that Silicon Valley libertarians tend to view all regulation as a drag on innovation and a vehicle for capture, while those 'outside of this bubble' see it as a check on corporate power. He said both views oversimplify a reality that 'is complicated and really depends on what the regulation consists of.'

Amodei added that Anthropic tries 'very hard to make proposals that disadvantage (slow down) frontier AI companies while advantaging smaller competitors,' pointing to exemptions in favored regulations for companies below certain revenue thresholds or model-training expenditure levels.

The Concentration Problem

On the economics, Amodei acknowledged that AI naturally tends to concentrate power — driven by the compute requirements to train and serve frontier models — but insisted that was different from predicting a monopoly outcome. He said open-source models only partially address concentration because they still require significant compute to train and run. He said he favored 'rules of the road' that would 'leave room for open-weights models while also addressing the specific risks that they bring.'

Baker also criticized Amodei for contributing to the public's negative perception of AI, arguing that fear-driven messaging has fueled opposition to data center construction across the U.S. and threatens American leadership in the technology. Amodei pushed back, saying the public's distrust is 'fundamentally a crisis of trust' and not primarily caused by warnings from AI leaders. He added that he did not believe the industry could recover that trust with 'a glitzy marketing campaign with a positive spin.'

CEO Times Take

The free-market case here is straightforward: when a dominant incumbent champions regulations it helped design, the burden of proof falls on that incumbent to demonstrate the rules genuinely open the field rather than fence it. Amodei's carve-outs for smaller players sound reasonable on paper, but Sacks's 'regulatory capture' frame will stick until Anthropic can show, in practice, that its preferred rules have produced more competition rather than less.

Capital rewards clear rules — not rules written by the best-funded player in the room. Washington should take note before it hands any single AI lab, however well-intentioned, the pen that writes the industry's compliance manual.

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