OpenAI seeks legal clarity on coordinating AI slowdowns

OpenAI has asked lawmakers for guidance on whether coordinating a pause in AI development violates antitrust laws, highlighting a legal barrier to industry-wide safety efforts.
OpenAI has sought direct guidance from members of Congress on a contentious legal question: whether coordinating a slowdown in the development of advanced artificial intelligence could be considered a violation of antitrust laws. According to reports from WIRED, the company is looking for clarity because substantive safety coordination among major AI labs carries the risk of being interpreted as a cartel-like restriction on output. This legal ambiguity poses a significant obstacle to bringing large technology companies together for the kind of collective safety measures that many researchers argue are now necessary.
The push for caution came last weekend when Jakub Pachocki, OpenAI’s chief scientist, published a blog post arguing that the industry must coordinate to slow down future development. He stated that voluntary slowdowns should become commonplace until shared safety standards are established, particularly to manage the risks of self-improving AI systems. However, legal experts warn that such efforts could conflict with US antitrust statutes, specifically the Sherman Antitrust Act, which prohibits agreements that restrict competition or limit production.
Antitrust laws create legal uncertainty
Nicholas Felstead, a former AI policy fellow and assistant director at the Australian Competition and Consumer Commission, noted that a coordinated pause may amount to companies restricting their output. He explained that while most safety collaborations might survive legal scrutiny, the uncertainty itself acts as a powerful deterrent for businesses. For a tech giant, the risk of facing a complex antitrust lawsuit is often enough to discourage them from entering into formal agreements with competitors, even if those agreements are intended for public safety rather than market control.
This legal friction is at the heart of why major AI labs have struggled to form unified safety frontlines. While some executives genuinely fear legal repercussions, others suggest that antitrust concerns are being used as a convenient excuse to avoid deeper collaboration. The industry is fiercely competitive, with companies racing to capture a slice of the nascent frontier model market and to maintain a strategic advantage over rivals like China. These commercial and geopolitical incentives often outweigh the desire for cooperative safety measures.
Lawmakers propose legislative fixes
There are early signs that Congress is attempting to address this gap. In July, a bipartisan group of lawmakers introduced a bill titled the






