The three companies most responsible for the AI arms race are now trying to negotiate a ceasefire. Anthropic, OpenAI, and Google DeepMind have been quietly discussing the formation of an industry-led safety standards body since July 2026, a conversation that burst into public view when Anthropic CEO Dario Amodei published an essay on September 12 calling for a voluntary slowdown in AI development.
The three-step plan
Amodei’s essay lays out a surprisingly concrete framework. His proposal rests on three pillars.
First: independent evaluators who would receive employee-level access to frontier AI models. Not a quick demo or a polished benchmark, but the kind of deep, sustained access that lets auditors actually stress-test what these systems can do.
Second: coordination among democratic nations to align on safety standards.
Third: the pursuit of global agreements that formalize safety protocols across borders.
OpenAI CEO Sam Altman has publicly endorsed the core ideas, particularly the independent evaluator concept. Altman specifically emphasized regulating the pace of development.
Elon Musk endorsed Amodei’s proposal on September 14.
Why now, and why these three
The discussions also reflect a growing recognition that voluntary internal safety commitments, the kind each company has made individually, aren’t sufficient when the competitive landscape rewards speed. The urgency reflects a worrying trend where competitive pressures among tech companies might prioritize speed over safety.
As of September 14, no binding agreements have been reached, and there remain unresolved antitrust concerns that could impede effective coordination across these corporations.
The antitrust problem and what comes next
Perhaps the most immediate hurdle is antitrust law. When the three dominant players in any industry sit down to coordinate their behavior, regulators tend to pay attention. Any formal agreement between Anthropic, OpenAI, and Google DeepMind would likely face scrutiny over whether it serves public safety or market consolidation. Startups and mid-tier AI companies have already expressed concern that industry-led standards could function as barriers to entry dressed up in safety language.