World leaders want American AI. They just don’t want America to be able to turn it off.

The recent anxieties voiced by world leaders at the G7 summit, concerning the potential for the U.S. to abruptly restrict access to American AI, have been starkly validated by the recent Anthropic blackout. This isn’t merely a technical hiccup; it’s a flashing neon sign illuminating a critical vulnerability in the global AI landscape. For years, the assumption has been that American AI dominance would be a source of stability and progress. Now, the reality is setting in: that dominance comes with strings attached, and those strings are increasingly visible. The incident underscores a larger point, one we’ve explored in pieces like You Probably Don’t Need an Agent Framework, where reliability and predictable workflows are paramount, even if it means foregoing some of the perceived benefits of autonomous agent systems. The fragility exposed by Anthropic's outage highlights the risks of relying on a single, centralized source for such a critical technology.

The fear isn't simply about a momentary service disruption; it’s about geopolitical leverage. Macron and Modi's concerns reflect a growing awareness that the U.S. possesses a powerful tool – the ability to essentially switch off the AI infrastructure powering numerous industries and governments worldwide. This power dynamic invites scrutiny and, inevitably, pushes nations to explore alternative AI ecosystems. Consider, too, the broader economic implications, as outlined in AI is hurting Apple in more ways than one: it may force iPhone price increases. Dependence on American AI isn't just a technological consideration; it’s a factor influencing pricing and competitive dynamics across entire sectors. The Anthropic event serves as a sharp reminder that technological solutions, even seemingly benign ones, can have profound and unpredictable geopolitical consequences. We’ve even seen this play out in the investment strategies of those looking beyond the current landscape, as explored in Chi-Hua Chien saw Facebook coming — now he says the real AI winners won’t be selling AI, where the focus is shifting toward building foundational capabilities rather than solely relying on existing AI services.

The immediate fallout is likely to accelerate the development of alternative AI ecosystems outside of the U.S. Nations will prioritize building domestic capabilities and fostering partnerships with countries less likely to wield AI as a geopolitical weapon. This isn’t about rejecting American AI outright – the technology itself remains incredibly valuable – but about diversifying risk and establishing greater control over critical infrastructure. The potential for “splinternetting” of AI, where different regions develop and operate their own distinct AI ecosystems, is now a more tangible possibility. This fragmentation could stifle innovation by limiting cross-border collaboration and data sharing, but it could also foster greater resilience and security in the long run. The current model, where a handful of American companies control a vast portion of the AI landscape, is unsustainable from a geopolitical perspective.

Looking ahead, the key question is whether this event will trigger a fundamental shift in how AI is governed and distributed globally. Will we see increased international cooperation on AI safety and security, or will the competitive pressures lead to further fragmentation and distrust? The Anthropic blackout has revealed a critical vulnerability, and the subsequent response will shape the future of AI for years to come. It's increasingly clear that the future of data management isn't solely about building more powerful AI models; it's about building more resilient, accessible, and equitable systems that empower nations to control their own technological destinies.