Anthropic CEO Dario Amodei is pushing back on the argument that his warnings about artificial intelligence have helped create the public backlash now facing the industry, TechCrunch reports. The exchange centers on investor Gavin Baker, who argued on the All-In podcast and on X that Amodei’s public emphasis on AI risks has contributed to skepticism in the United States, particularly around data centers. Baker also criticized Amodei’s position on regulation, pointing to Anthropic’s support for some rules, including a California bill that would impose transparency requirements on large AI companies. Baker’s view, as summarized by TechCrunch, is that Amodei should make a stronger positive case for the industry he leads. Amodei rejected the premise that his messaging has been overly negative. According to TechCrunch, he said his writing has been roughly balanced between AI’s risks and its potential benefits. He pointed to his essay “Machines of Loving Grace” as an attempt to offer a more ambitious account of how AI could improve the world, saying he wrote it because he did not think the industry was presenting an inspiring enough version of that future. Where Amodei did concede ground was on public sentiment. TechCrunch reports that he acknowledged the public has a negative view of AI and called that a major problem. But he disputed Baker’s explanation, arguing that distrust of AI is not primarily the result of warnings from him or other AI leaders. Instead, Amodei described the backlash as “fundamentally a crisis of trust.” His argument, as reported by TechCrunch, is that many people do not trust companies, governments, or the tech industry, and suspect new technology will be used against their interests. In his framing, AI is not the origin of that distrust but the latest arena where it is being expressed. That distinction matters because it shifts the problem from communications to performance. Amodei said the most accurate criticism of AI companies, including Anthropic, is that they have not yet delivered on their largest promises to benefit the world. He described that failure as the industry’s responsibility, rather than a problem that can be solved mainly through marketing or more upbeat messaging. The exchange also exposed a familiar split over AI regulation. Baker’s criticism, as presented by TechCrunch, casts regulation as a path that could entrench a small number of powerful companies. Amodei countered that this is a false choice between broad deployment with no regulation and concentration through regulation. He said the Silicon Valley shorthand equating regulation with capture and concentrated power is too simple, and that many people outside that environment view regulation as a way to constrain corporate power and benefit ordinary people. For Anthropic, the comments are a defense of a position it has tried to occupy in the AI market: warning about risks while arguing that advanced AI can still produce broad social gains. The evidence in this cluster does not establish whether that stance is persuasive to the public or policymakers. It does show that the debate has moved beyond model capability and into whether AI companies can earn enough trust to shape the rules around their own technology. Who benefits: AI companies that can show concrete public benefits and credible governance stand to gain from Amodei’s framing. It makes the trust problem less about rhetoric alone and more about demonstrable outcomes. Who's exposed: AI companies, including Anthropic, remain exposed if they continue making large promises without visible benefits. Advocates for minimal regulation are also exposed to the counterargument that rules can be framed as a constraint on corporate power rather than only as regulatory capture.