Finding Balance in US AI Regulation

## Executive Summary: The commentary examines the debate over AI regulation in the United States, arguing that neither purely state-level experimentation nor an exclusively federal approach is sufficient; instead it recommends a hybrid model where federal baseline rules (ethics, data governance, algorithmic accountability) provide consistency while states retain flexibility to innovate and address local needs, and emphasizes the urgency of timely, enforceable action to manage AI risks.