Companies developing and deploying artificial intelligence in the United States face a regulatory environment defined by competing signals. On one hand, the White House has called…
Companies developing and deploying artificial intelligence in the United States face a regulatory environment defined by competing signals. On one hand, the White House has called for a unified national approach to AI governance. On the other, states continue to advance and enforce their own AI-specific requirements, leaving multistate operators to manage a fragmented compliance landscape in 2026.
On March 20, 2026, the White House issued its National Policy Framework for Artificial Intelligence, urging Congress to replace the existing state-law patchwork with a uniform federal approach. The framework reflects a clear federal preference for preemption and consistency across jurisdictions, particularly for developers operating at national scale. Importantly, however, the framework is non-binding. It does not impose any immediate compliance obligations on businesses, nor does it suspend or displace existing state laws. Until Congress acts on its recommendations, the framework functions primarily as a statement of policy direction rather than enforceable law.
In the meantime, state-level enforcement continues to advance. California, Colorado, and New York have each adopted AI-specific rules taking effect in 2026, and regulators in those states retain full authority to investigate and pursue violations. Companies operating across state lines therefore cannot rely on the prospect of federal preemption to defer compliance planning. The practical reality is that businesses must continue to map their obligations jurisdiction by jurisdiction, even as the broader federal conversation evolves.
California's Transparency in Frontier AI Act, which took effect on January 1, 2026, illustrates the immediacy of these obligations. Frontier AI developers and deployers subject to the Act now face concrete transparency requirements at the state level, regardless of how the federal framework ultimately progresses. Similar measures in Colorado and New York reinforce that state regulators are moving forward independently of any anticipated federal action.
For companies deploying AI in 2026, the prudent approach is to build compliance programs that address current state-level obligations while monitoring federal developments closely. Reconciling these dual tracks will likely remain a defining feature of US AI governance in the near term.
This article is provided for general informational purposes only and does not constitute legal advice. Clients should seek tailored guidance specific to their circumstances before making compliance decisions.