Emergence of State-Level AI Legislation
Initially, artificial intelligence debates expanded across all government levels, yet states became central actors in shaping regulatory responses to emerging technological risks.
Scope and Dataset
Specifically, legislative activity from January 2023 to October 2025 included 385 bills across all states, capturing varying approaches, outcomes, and policy priorities.
Three Core Policy Domains
Primarily, bills cluster into protecting individuals, ensuring trustworthy information ecosystems, and building long-term governance structures for responsible AI deployment.
Protection of Individuals
On one hand, many proposals aim to shield citizens from harm, including bias, discrimination, and misuse of automated decision-making systems.
Information Ecosystem Integrity
Meanwhile, other initiatives focus on transparency, addressing risks such as deepfakes, misinformation, and undisclosed AI-generated content influencing public perception.
Systemic Governance Efforts
Furthermore, several bills attempt to establish institutions, frameworks, and oversight mechanisms capable of managing AI impacts over the long term.
Uneven Legislative Activity
However, legislative engagement varies significantly, with some states advancing comprehensive frameworks while others introduce minimal or no substantive proposals.
Structural and Political Drivers
Importantly, demographic and political conditions shape activity, linking legislative output to factors such as population characteristics and governance environments.
Two-Barrier Model
Consequently, a “two-barrier” framework explains outcomes, where both structural capacity and political willingness determine whether AI bills are introduced and sustained.
Leading and Lagging States
Notably, younger, wealthier, and more Democratic-leaning states tend to lead legislative efforts, while older, poorer, and conservative states lag behind.
Policy Fragmentation
As a result, a fragmented landscape emerges, producing uneven protections for citizens and inconsistent governance approaches across jurisdictions.
Implications for Governance
Ultimately, understanding these patterns enables policymakers to design realistic AI strategies aligned with local political and economic constraints.
Source:
Brookings Institution. (2025). Analyzing the passage of state-level AI bills. https://www.brookings.edu/articles/analyzing-the-passage-of-state-level-ai-bills/