Anthropic CEO Dario Amodei has issued a blunt warning to his peers in the artificial intelligence industry over their perception of the technology and attitude toward it.
In his warning, Amodei challenged his peers to dismiss public anxiety about AI at [your] peril, or risk triggering a political and social backlash that could reshape the sector in far harsher ways than many executives expect.
“You can’t just go around saying we’re going to create all this abundance, a lot of it is going to go to us, and we’re going to be trillionaires, and no one’s going to complain about that,” Amodei said in an interview with Axios. “Look, you’re going to get a mob coming for you if you don’t do this in the right way.”
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The comments followed the publication of Amodei’s 19,000-word essay, The Adolescence of Technology, a sweeping meditation on how artificial intelligence could transform economies, politics, and social contracts. In it, Amodei argues that AI should be treated not as just another productivity tool, but as a “serious civilizational challenge” on par with industrialization or the advent of nuclear power.
At the center of his argument is a stark forecast about wealth concentration. Amodei openly predicts that AI will create unprecedented levels of economic output and efficiency, but that much of this new value will accrue to a narrow set of companies and individuals who control the most powerful models, data, and infrastructure. In his telling, the emergence of trillionaires is not a rhetorical flourish but a plausible outcome of AI-driven markets.
That prospect, he argues, makes traditional political assumptions about taxation and redistribution obsolete.
“I don’t think this is the tax policies of old,” Amodei said. “This is for a world where people are trillionaires.”
While Amodei stops short of proposing a specific framework, his essay suggests that new forms of taxation may need to be either broadly applied or explicitly targeted at AI companies. The alternative, he warns, is not the absence of redistribution, but the arrival of poorly designed, reactionary policies driven by public anger once the scale of inequality becomes politically impossible to ignore.
His intervention sets him apart from many technology leaders who emphasize AI’s potential to lower costs, boost growth, and raise living standards, often downplaying the distributional consequences. Amodei does not dispute the promise of abundance. Instead, he frames the central question as who ultimately benefits from it.
In both the essay and the interview, he urges policymakers to act early, not only on taxation but also on transparency and governance. He says he has advised lawmakers to push for stronger AI transparency laws, which would give regulators and the public clearer insight into how powerful systems are trained and deployed.
He has also backed continued restrictions on the export of advanced AI chips to China, arguing that controlling access to compute remains a key lever in managing global AI competition and security risks.
Amodei’s tone reflects his reputation as one of the industry’s more cautious voices. Often described as holding a “doomer” outlook, he has long emphasized existential and systemic risks from advanced AI. Yet he is careful to distinguish between what he sees as misdirected fears and what he considers the real stakes.
He dismisses claims that data centers are draining water supplies, saying they “don’t use that much water,” and characterizes anxiety over rising electricity bills as understandable but secondary.
“I think in the long run, it’s not about power bills,” he said. “It’s about enormous abundance, and whether they get their piece of the abundance.”
That framing places Amodei’s warning squarely in the realm of political economy rather than science fiction. His concern is less about machines turning hostile than about societies fracturing if AI-driven gains accrue too narrowly, leaving large segments of the population feeling excluded from a transformation they were promised would benefit everyone.
Amodei’s message adds pressure on both policymakers and industry leaders to confront uncomfortable questions early, especially as governments around the world scramble to regulate AI. In his view, ignoring those questions risks turning today’s optimism about AI into tomorrow’s backlash, with consequences that could be far more disruptive than any carefully designed reform.