AI’s Unlikely Alliance: OpenAI, Anthropic, and Google DeepMind Are Quietly Working Together on Safety
In an industry defined by fierce competition and breakneck speed, three of the world’s most powerful AI companies have been doing something unexpected: talking to each other. And they have been doing it for weeks.
According to Chris Lehane, OpenAI’s global policy chief, the company has been working with rivals Anthropic and Google DeepMind on AI safety matters, as first reported by Bloomberg. Lehane made the revelation to reporters on Tuesday while in Washington to work with U.S. lawmakers on addressing catastrophic risks associated with artificial intelligence.
The news paints a striking picture of an industry that, despite its rivalries, appears to be converging on one uncomfortable truth: the risks posed by frontier AI may be too great for any single company to handle alone.
The Spark: Amodei’s Essay and a Rare Moment of Unity
The revelation did not emerge in a vacuum. It follows a remarkable essay published Saturday by Anthropic CEO Dario Amodei, which called for the industry to work together to slow the pace of frontier AI development and avoid catastrophic risks.
What made the essay notable was not just its message but the response it generated. AI leaders across the industry voiced support, including OpenAI’s Sam Altman, Google’s Demis Hassabis, and even Elon Musk of SpaceXAI. Altman went further, stating that OpenAI would join Anthropic in embedding third party evaluators into the company to monitor for safety.
This kind of cross industry solidarity is rare in a sector where companies routinely compete for talent, compute, and market dominance. It suggests that beneath the commercial warfare, there is a shared recognition that safety is a collective problem requiring collective action.
The Antitrust Elephant in the Room
Of course, cooperation between competitors is never simple. Some, including Altman himself, have noted that such talks could put the companies at risk of violating antitrust law if the coordination is found to suppress competition.
Amodei’s essay preemptively addressed this concern by proposing a narrow government waiver that would allow such safety coordination. According to reports, however, Lehane said the firms do not believe they need one.
Whether regulators will agree remains an open question. The line between safety collaboration and anti competitive behavior is a thin one, and the companies are walking it carefully. For now, they appear to be proceeding on the assumption that their efforts are defensible and necessary.
A Standards Body on the Horizon?
The cooperation may be moving toward something more formal. The Information reported this week that the three companies have been working together to create a standards body for the AI industry. Altman reportedly told staff that such a body would need to happen without the support of the U.S. government.
This is a significant admission. It suggests that the industry’s leading players have concluded they cannot wait for regulators to act and are prepared to build their own guardrails. It also reflects a pragmatic recognition that government involvement, while potentially helpful, may be too slow or too politically fraught to rely upon.
Hassabis had already called on the U.S. in July to establish a new standards body to act as an AI watchdog, with the power to screen the world’s most advanced models and coordinate industrywide slowdowns if dangers progressed. The recent talks appear to be a step toward making that vision a reality, even if the industry has to build it itself.
The Political Headwinds
The industry’s moves toward self regulation are unfolding against a complicated political backdrop. President Trump has dismissed safety concerns as a hoax and pushed back on the need for tighter regulations, arguing that any slowdown would give China a leg up in the race for AI dominance.
His key AI advisor, David Sacks, who is a longtime investor with a personal stake in much of the industry, has echoed this position, saying fears of existential risk from AI were overblown.
This creates a peculiar dynamic. The companies most directly responsible for developing frontier AI are moving toward greater caution, while key figures in the U.S. government are urging speed and dismissing their concerns. It is a reversal of the usual pattern, where industry lobbies against regulation and governments push for oversight.
OpenAI’s Legislative Push
Amid these discussions, Lehane also said that OpenAI supports a provision in the FRONTIER Act that would force top frontier labs to allow independent verification organizations into their companies to ensure models are developed safely.
This is a notable stance for a leading AI company to take. By endorsing mandatory third party verification, OpenAI is signaling that it is willing to accept a degree of external scrutiny. Whether other companies will follow suit, and whether such a provision can survive the political process, remains to be seen.
What This Means for the Future of AI
The fact that OpenAI, Anthropic, and Google DeepMind are talking is significant. These are the three companies most responsible for pushing the frontier of AI capability. If they can agree on safety standards and mechanisms for enforcement, they could set the tone for the entire industry.
But there are reasons for caution. Talks are not the same as action. Collaboration can falter under commercial pressure. And the absence of government backing means any standards body would lack the legal authority to compel compliance.
Still, the direction of travel is clear. The leaders of the AI industry appear to have concluded that the risks are real enough to warrant cooperation, even with their fiercest competitors. That is a meaningful shift.
Conclusion
The revelation that OpenAI, Anthropic, and Google DeepMind have been quietly cooperating on AI safety for weeks is more than a news item. It is a signal that the industry’s most powerful players recognize they are navigating uncharted territory together. Dario Amodei’s essay and the supportive responses it generated suggest a growing consensus that unbridled speed is not the same as wisdom, and that the race for AI dominance must be balanced against the need to prevent catastrophic outcomes. Yet the path forward is anything but smooth. Antitrust concerns loom, the political environment is hostile to regulation, and a standards body built without government support may struggle to enforce its will. The companies are attempting something genuinely difficult: to govern themselves in an area where the stakes could not be higher. Whether they succeed will shape not just their own futures but the future of everyone who will live with the technology they create. For now, the fact that they are talking is a start. But talk, as everyone knows, is cheap. It is what comes next that will truly matter.
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