Three AI Regulatory Blocs, Not Twenty: How Global Fragmentation Resolves

Global AI regulation looks chaotic right now. The EU has a binding horizontal Act, the US has a patchwork of state laws and no federal framework, China has a sovereign model built around infrastructure dependency, and a long tail of jurisdictions sits somewhere in between. The temptation is to treat this as the permanent condition. It is not.

Fragmentation is not a stable equilibrium. It accumulates compliance costs, produces governance gaps, and generates political pressures that eventually demand resolution. The question is not whether the architecture consolidates, but what it consolidates into and when.

Our analysis argues that it resolves into three durable blocs: an EU-anchored rights-based bloc, a China-anchored sovereignty-first bloc, and an Americas liability-led bloc. The important refinement is that they do not form on the same timeline. The EU-anchored bloc is recognisable by 2026 to 2027, the China-anchored bloc by 2027 to 2029, and the Americas bloc only by 2030 to 2032, conditional on US federal legislation that has not yet happened. The complete structure arrives in 2032 to 2034.

Between roughly 2027 and 2031, the world inhabits a bipolar interregnum: two blocs operational, the Americas bloc absent. That is not just a gap. It is the configuration that puts the most pressure on US enterprises and, in turn, makes US federal legislation more likely. Two near-term shocks, AI-accelerated vulnerability discovery of the kind shown by Anthropic's Project Glasswing, and the post-quantum cryptographic transition, will drive a surge of fragmented emergency legislation between 2026 and 2028 that complicates the picture without changing the destination.

The paper sets out the full methodology, eight assumptions with confidence ratings, three confidence tables, and five stress-test scenarios, including the one that worries us most: that US federal legislation fails and the interregnum hardens into a durable bipolar world. For enterprises, the practical implication is to build EU AI Act compliance as the global baseline now, with documented equivalence to NIST RMF outcomes via ISO 42001, and to design for US federal compatibility before the federal standard arrives.