OpenAI CEO Sam Altman has publicly called for slowing down frontier AI development. Mr. Altman did not advocate stopping AI research altogether but deliberately slowing the creation or deployment of the most powerful systems. That way when AI capabilities begin advancing faster than researchers, governments and society can safely manage them.

Altman’s position is part of a broader movement among leading AI developers who worry that the competitive race toward increasingly autonomous and potentially self-improving systems could produce dangers that existing safeguards are not prepared to handle.

A growing number of AI developers are calling for a more cautious approach to new advances. Anthropic CEO Dario Amodei has become one of its most prominent advocates, while Altman and other AI leaders have endorsed versions of the approach. Governments and private citizens around the world have expressed concerns that social, economic, and political systems may not be ready for the rapid pace of AI growth and expansion. But slowing down progress in AI development will likely be a difficult endeavor…

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OpenAI has also advocated an international mechanism capable of coordinating leading AI developers and slowing frontier development when safety, alignment, or societal resilience falls behind. OpenAI has already demonstrated what such pacing could look like. In August, the company announced that it had temporarily slowed scaling and paused reinforcement-learning training on its newest deployment-oriented models after troubling cybersecurity developments.

OpenAI said its largest planned frontier reinforcement-learning run would remain suspended while researchers conducted smaller experiments, strengthened monitoring and containment, red-teamed research environments, and gathered stronger evidence that increasingly capable models would remain aligned with human intentions.

The immediate concern is that AI systems are becoming much more autonomous. Long-running agents can perform complicated tasks, use tools, write software, and search for vulnerabilities with decreasing human supervision. OpenAI itself reported discovering failures in long-horizon models that its existing pre-deployment evaluations had not anticipated.

Meanwhile, Amodei has warned that sufficiently capable collections of autonomous agents could eventually create extraordinary cybersecurity risks. These developments have raised an uncomfortable possibility: AI could become capable of discovering vulnerabilities, conducting cyber operations, accelerating AI research, or helping design its successors faster than humans can develop effective safeguards.

The greatest obstacle to slowing down development is competition. If OpenAI slows while its rivals continue accelerating, it could lose its technological advantage. The same problem exists internationally: American companies fear that slowing development unilaterally could allow Chinese laboratories to move ahead. The dilemma facing AI developers is similar to what nations face when trying to implement arms control; if one country reduces arms, its enemies could gain an advantage.

The call for slowing down AI development represents something more nuanced than an AI moratorium. Altman and other developers still believe artificial intelligence could generate enormous benefits in medicine, science, productivity, and economic growth. Their argument is that capability should no longer advance automatically at the maximum technically possible speed.

Instead, increasingly powerful AI would pass through stronger safety evaluations, monitoring, and alignment requirements, with development slowed when safeguards fall behind. The striking development is that calls for restraint are no longer coming only from AI critics. They are increasingly coming from the people building the world's most powerful AI systems.

A sign that even some leaders of the AI revolution believe the technology may now be advancing quickly enough that knowing when to slow down could become as important as knowing how to make it more powerful.

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