The White House released a national AI regulatory framework urging Congress to create "one national set of rules" to prevent a fragmented state-by-state patchwork, yet Congress remains gridlocked on the issue. Meanwhile, over a dozen states are already passing their own AI laws covering child safety, algorithmic transparency, and whistleblower protections. The federal framework has drawn criticism for lacking specific detail on job displacement effects and corporate accountability mechanisms. The disconnect between federal intent and state action reflects deeper tensions about how to govern rapidly evolving technology—centralized coordination sounds efficient, but decentralized experimentation may be politically inevitable. The result is likely to be a hybrid system where some national guidelines coexist with state-specific requirements, creating complexity for companies but also allowing different regions to test different regulatory approaches.