Anthropic CEO says AI backlash is 'fundamentally a crisis of trust'

Anthropic CEO Dario Amodei has pushed back, in a series of posts on X, against criticism that his warnings about AI's dangers have been overly pessimistic — arguing instead that the backlash against AI is "fundamentally a crisis of trust."

The criticism came from investor Gavin Baker, who argued on the All-In podcast and on X that Amodei's warnings about the dangers of AI have helped fuel a backlash in the United States, particularly against data centers. Baker also said Amodei had "lost the argument" on AI regulation and urged him to make an effort to be a more positive advocate.

Amodei rejected the idea that his "messaging has been disproportionately negative," saying his writing has been "about equally balanced between risks and benefits." He acknowledged that "the public has a negative view of AI" and agreed that "this is a big problem," but disputed the idea that this negativity is "primarily caused" by him or any other AI leader warning about AI's risks.

"I think it is fundamentally a crisis of trust," Amodei said. "I think that 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." In his telling, the crisis has been decades in the making, with the current backlash "just the latest iteration of it."

Amodei also conceded what he called by far the most accurate criticism of AI companies: "we haven't yet delivered on our big promises to benefit the world." "That is totally on us," he said, arguing that critics should focus on that instead of "all this stuff about messaging and marketing." He added that promising AI will cure cancer is "more a cliche than it is inspiring" — what would actually change people's opinions is "actually curing cancer."

On regulation, Amodei said Baker was painting "a false choice" between distributing AI widely without regulation and concentrating the technology in the hands of a few companies through regulation. He pushed back on the Silicon Valley shorthand where "regulation = regulatory capture = concentration of power," noting that many people outside that bubble think of regulation as something that "constrains corporate power and benefits ordinary people."

Amodei defended Anthropic's policy approach, saying the company tries "very hard to make proposals that disadvantage (slow down) frontier AI companies while advantaging smaller competitors." He argued that AI is "structurally" a technology that tends to concentrate power, and that open-weights models help with this but are "nowhere near a sufficient solution" because they simply shift concentration toward those with the most compute and chips.

The right "rules of the road," in his view, would simultaneously address AI's cyber, bio and alignment risks, institutionally constrain the power of frontier AI companies, and leave room for open-weights models while addressing the specific risks they bring. The exchange underscores how AI executives' risk messaging itself has become contested territory — and how CEOs are now expected to manage their public statements as carefully as their products.