Anthropic CEO: "Resistance to AI is fundamentally a crisis of trust"

Anthropic CEO Dario Amodei recently rejected the claim that he presents an overly pessimistic picture of artificial intelligence and how it might shape the future. This was reported by the technology blog TechCrunch.

Amodei's remarks came in response to investor Gavin Baker, who argued — both on the All-In podcast and on the X network — that Amodei's warnings about the dangers of AI helped fuel a backlash against the technology in the US, especially regarding data centers. Baker claimed that Amodei "lost the argument" regarding AI regulation, even though Anthropic supports certain regulations, including a bill in California that imposes transparency requirements on large AI companies. Given that "he is going to be the CEO of one of the most important companies in the world," Baker wrote, "I respectfully think he should make an effort to be a more positive advocate for his industry."

Baker is far from the only one claiming that skepticism toward AI, and even tightening measures by governments, are a natural reaction to the harsh warnings issued by some AI company executives. However, in a post of his own, Amodei disagreed with the claim that "my messages were disproportionately negative." According to him, his writing was "equally balanced between risks and benefits," and he wrote his article, "Machines of Loving Grace," because "I felt that the AI industry was not presenting an inspiring enough picture of how the technology could dramatically change the world for the better."

Nevertheless, Amodei admitted that "the public has a negative opinion of AI," and agreed that "this is a big problem." He disagreed with the claim that this negativity was caused "primarily" by him or by "any other AI leader who warns about the risks of AI."

"I think it is fundamentally a crisis of trust," Amodei said. "I think ordinary people don't trust companies, governments, or the tech industry, and always suspect that we are cooking up some new way to screw them over." Indeed, "trust" is a term that appears frequently in headlines concerning OpenAI CEO Sam Altman, and it seems to be an issue that also affects other AI CEOs like Amodei. However, according to Amodei, this is a crisis that has been building for decades, with resistance to AI being "just its latest version."

"I think the most accurate criticism, by a wide margin, of AI companies, including Anthropic, is that we haven't yet delivered on our big promises to benefit the world," Amodei said. "That is entirely on us, and I think that is the criticism that should be made, instead of all this stuff about messaging and marketing." In other words, he said that promising that AI will cure cancer is "more of a cliché than something inspiring," and what will really change people's minds about AI will be "actually curing cancer."

Regarding regulation, Amodei argued that Baker presents a "false choice" between widespread deployment of AI without regulation and the concentration of technology in the hands of a few companies through regulation.

"I know there is a perception in Silicon Valley that regulation leads to large companies influencing regulators, and ultimately to a concentration of power, but I always thought that was an overly simplified picture of the world," Amodei said. "Many people outside that bubble think of regulation as something that limits the power of companies and benefits ordinary people."

Amodei added that he "doesn't necessarily agree with that perspective either," but according to him, "that is why Anthropic has always phrased its policy proposals very carefully."

"We try very hard to offer proposals that hurt the most advanced AI companies (slowing them down), while at the same time giving an advantage to smaller competitors," he said. Why make such proposals at all? Amodei said that in his opinion, "AI is a technology that is structurally prone to concentrating power," and that "open AI models do help to some extent in this matter, but they are far from being a sufficient solution, because they simply shift the concentration to some extent to those who have the most computing power and chips."

"In contrast, I think the right 'rules of the game' can simultaneously (a) address the cyber/biological/alignment risks of AI, (b) institutionally limit the power of the most advanced AI companies, and (c) leave room for open models, while simultaneously addressing the specific risks they bring with them," he said.