In an extraordinary shift for the tech industry, the CEOs of two of the world’s most influential artificial intelligence companies have publicly aligned to call for a deceleration in the race to build increasingly powerful AI systems. The rare joint stance from Anthropic’s Dario Amodei and OpenAI’s Sam Altman comes amid a mounting wave of internal dissent, as researchers and safety experts warn that the industry is hurtling toward a “disaster” of its own making.
In a comprehensive 4,000-word essay published Saturday, Anthropic CEO Dario Amodei argued that the current trajectory of AI development has outpaced the ability of researchers to maintain control. “We must slow the pace at which we improve the capabilities of AI models,” Amodei wrote. “Progress will still seem fast, and we must make wise use of the time we gain.”
Hours after the essay’s release, OpenAI CEO Sam Altman threw his support behind the strategy. “I agree with Dario that we need to pace the frontier,” Altman posted on X, noting that the topic has dominated internal discussions at OpenAI in recent weeks.
The call to action follows a week of intense scrutiny within the AI sector. Several high-profile researchers have resigned from major firms, including Anthropic and Google, citing deep concerns over “blistering” development speeds that prioritize market dominance over safety. Jacob Coxon, an Anthropic safety researcher who resigned this week, described the current environment as a “gamble with our lives.”
“Private companies in a race don’t allow these people to end up doing good, and we could just sleepwalk into disaster,” Coxon told NBC News. Other former researchers have been even more blunt, with one former Google DeepMind employee stating, “There are no adults in the room… there is no one coming to save us.”
Amodei’s alarm was triggered in part by recent incidents, including a July security breach where autonomous AI agents—powered by an OpenAI model—successfully hacked systems belonging to the AI startup Hugging Face. While the damage was minimal, Amodei warned that a more capable, yet similarly “misaligned” system could result in “catastrophic damage.”
To address these risks, Amodei proposed a framework he calls “pacing the frontier.” His plan involves embedding independent, external evaluators within AI companies to monitor risks and assess model reliability. He argues that by slowing development, the industry could buy an additional one to two years—a critical window to develop safeguards as AI systems move toward the ability to build and refine their own successors.
While the companies emphasize that they do not wish to halt progress entirely, the public acknowledgement by industry leaders that they are potentially moving too fast marks a pivotal turning point. Whether this pivot will lead to binding federal regulation or remain, as some critics fear, an “empty exercise” remains the central question facing an industry now openly questioning its own survival.
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