The United States is navigating a complex landscape of AI legislation, with state and federal governments introducing over 1,200 bills in 2025 alone. Despite this surge in legislative activity, policymakers lack a shared standard to evaluate the efficacy of these measures, creating a patchwork of regulations that could hinder American technological competitiveness.
State-Level Fragmentation
States like California, New York, and Texas have taken divergent approaches to AI governance. California’s SB 53 emphasizes transparency from frontier developers, while New York’s RAISE Act mandates stricter incident reporting and oversight. Texas’ TRAIGA prohibits specific misuses of AI and establishes a regulatory sandbox. However, these efforts often overlap or conflict with existing consumer protection, civil rights, and data privacy laws.
"The balance between too many regulations, it’s terrible; too few, we may not love the outcome," warned IBM Chairman and CEO Arvind Krishna.
Federal Policy Incoherence
At the federal level, policy direction has been inconsistent. President Trump’s December 2023 executive order challenged state AI laws and tied broadband funding to a "minimally burdensome" national standard. Meanwhile, the 2026 National Defense Authorization Act excluded preemption language, leaving room for state-level divergence. The White House is reportedly considering an FDA-like vetting system for advanced AI models, a proposal that underscores the lack of a cohesive national strategy.
Global Implications
The absence of a unified U.S. approach contrasts sharply with actions abroad. The EU is implementing its AI Act, while China deploys frontier capabilities under state direction. As the line between commercial AI and national security blurs, incoherent U.S. policies risk undermining American economic and strategic interests.
With over 1,200 bills introduced and fewer than 150 enacted, the challenge lies not only in volume but in the absence of a clear framework to guide effective AI regulation. Policymakers must address this gap to ensure American leadership in the global AI race.