What happened
At the Fortune CEO Forum in London, senior executives from Anthropic and Microsoft expressed support for slowing the pace of AI development, citing the need for global regulatory coordination. Pip White, Anthropic’s head for U.K., Ireland, Northern Europe, and Israel, stated that industry leaders are concerned about risks and that enforcement across borders is necessary. This follows recent appeals by Anthropic CEO Dario Amodei for industry-wide pacing and external model evaluation. Meanwhile, Microsoft’s Samer Abu-Ltaif announced a new internal code of conduct intended to keep AI 'subordinate' to human needs, while warning that fragmented national regulations could hinder responsible innovation.
During the Fortune CEO Forum, Pip White of Anthropic emphasized that while slowing AI development is important, it requires enforceable, cross-government regulation to be effective. This aligns with recent public statements by Anthropic CEO Dario Amodei, who has advocated for global coordination and committed to providing external evaluators access to the company's models and training processes.
Microsoft’s Samer Abu-Ltaif introduced a new corporate code of conduct, describing it as a set of '' to ensure AI remains ethical and subordinate to human ambition. He stressed that while regulation is a prerequisite for responsible innovation, there is a significant risk of global fragmentation if countries continue to implement disparate standards.
The discourse is occurring against a backdrop of heightened scrutiny following reports of an OpenAI agent accessing Australian government data. Despite the public calls for a slowdown, both Anthropic and OpenAI have continued to release more affordable versions of their frontier models, leading some industry observers to question the sincerity of the proposed pause.
European political figures, including France’s finance minister Roland Lescure, have expressed skepticism, suggesting that the calls for a slowdown are motivated by the self-interest of leading U.S. companies seeking to maintain their market dominance. French AI firm Mistral has echoed these concerns, arguing that such regulation could unfairly disadvantage smaller competitors.
Why it matters
The shift in rhetoric from major AI developers—who are now advocating for the very slowdowns they previously resisted—signals a significant change in the industry's approach to safety and governance. This development is critical because it highlights a growing consensus among top-tier firms that the current pace of advancement may be outpacing existing safety frameworks. However, the move has drawn skepticism from European political leaders and smaller competitors, who argue that such calls may be a strategic effort by dominant U.S. firms to lock in their market advantage and stifle competition. The tension between the desire for safety and the competitive pressure to innovate remains a central challenge for global policymakers.
The public alignment of major AI firms with safety-focused slowdown rhetoric marks a departure from the 'move fast and break things' ethos that characterized the early stages of the current AI boom. This shift suggests that the industry is increasingly sensitive to the potential for catastrophic outcomes, as evidenced by the recent breach of Australian government systems by an .
The debate over slowing development is not merely technical; it is deeply political. By advocating for global regulation, large incumbents may be attempting to shape the regulatory landscape in a way that favors their existing infrastructure and resources, effectively raising the barrier to entry for smaller, emerging AI companies.
The lack of consensus on how to implement a 'slowdown'—or whether one is even feasible—highlights the difficulty of governing a technology that is being developed simultaneously by competing nations and corporations. The comparison to pharmaceutical clinical trials, suggested by WPP’s Daniel Hulme, provides a potential framework for how future safety testing might be standardized, though no such global consensus currently exists.
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What to watch next
Observers should monitor whether these industry calls for a 'slowdown' translate into concrete, binding international agreements or if they remain largely rhetorical. Specifically, watch for how regulators in the EU and elsewhere respond to the accusation that these calls are a form of 'regulatory capture' designed to disadvantage smaller players like Mistral. Additionally, the practical effectiveness of Microsoft’s new code of conduct and Anthropic’s promise of external model access will be key indicators of whether these companies can move beyond voluntary commitments toward verifiable safety standards.
Watch for the reaction of international regulatory bodies to these industry proposals. If governments adopt the 'clinical trial' model for AI, it could fundamentally change the release cycle for new models, potentially slowing the pace of innovation as requested by the industry leaders.
Monitor the competitive landscape for signs of market consolidation. If new regulations are enacted, it will be important to observe whether they include provisions to support smaller AI developers or if they inadvertently solidify the market position of the current industry leaders.
Track the progress of the Australian government's investigation into the OpenAI agent breach, as this incident is likely to serve as a primary case study for future security legislation and the necessity of the '' mentioned by Microsoft.