On December 11, 2025, the President of the United States signed the executive order Ensuring a National Policy Framework for Artificial Intelligence, aimed at establishing a unified federal regulatory framework for artificial intelligence (AI). The initiative seeks to curb the proliferation of state-level legislation and create a more predictable environment for companies that develop or use AI. At the same time, it raises critical questions regarding legal certainty, data privacy, and the protection of fundamental rights. In this context, companies should not view AI governance as a future risk, but as an immediate challenge with direct consequences for their operations and regulatory compliance.

Background and Key Directives of the Executive Order

The executive order reflects the recognition that state-level AI regulations, although well intentioned, have generated legal complexity and uncertainty for businesses. Divergent rules across states increase compliance costs and can hinder innovation. To address these challenges, the federal government has proposed a single national AI policy framework, based on the following directives:

• Establishment of a national public policy framework for AI, designed to promote a coordinated and predictable regulatory approach.
• Action by the Department of Justice to challenge state laws that conflict with federal AI policy.
• Conditioning federal funding on adherence to federal AI guidelines.
• Support from federal regulatory agencies, such as the Federal Trade Commission (FTC) and the Federal Communications Commission (FCC), in developing harmonized regulatory standards.
• Recommendations to Congress for federal legislation that would formally consolidate the preemption of state AI laws.

The central objective of the executive order is to reduce regulatory fragmentation and provide companies with a clearer framework in which to operate, without the burden of navigating multiple and inconsistent state requirements.

Direct Impacts on Companies: Data Privacy and Digital Governance

Regulatory Harmonization: What Does This Mean for Businesses?

Several U.S. states have already enacted AI-related laws, many of which impose specific obligations related to the protection of personal data. These laws often require algorithmic transparency, bias mitigation, accountability for automated decision-making, and safeguards for consumers’ civil rights.

The centralization of AI governance may reduce the complexity of multi-layered compliance, but it also carries implications for companies that already adhere to more stringent state-level standards. While the federal approach has the potential to simplify the regulatory environment, it may also weaken data protection in states with stricter rules. This dynamic places companies in a sensitive position: how to comply with federal requirements without compromising the level of data protection expected by customers and regulators in jurisdictions with more robust privacy laws.

The Challenge of Federal Preemption and Legal Certainty

Although centralized AI governance promises a more unified regulatory system, legal experts note that the preemption of state legislation through an executive order faces constitutional limitations. Effective preemption would require strong congressional support, which has not yet materialized. As a result, companies may face legal disputes and constitutional challenges as the federal government seeks to consolidate AI regulation.

This uncertainty creates a scenario in which businesses must prepare for the coexistence of federal and state rules over an extended period. From an operational standpoint, this means navigating overlapping and potentially conflicting obligations, increasing the complexity of compliance and risk management.

Implications for Corporate Data Governance Programs

Many organizations have already implemented strong data governance practices, including transparency, data minimization, security, and accountability. In states with more rigorous AI regulations, these practices are often mandatory. A transition to a federal framework may pressure companies to adopt a more flexible or minimal compliance approach, meeting only baseline federal requirements.

For companies operating across multiple jurisdictions, the key challenge will be balancing compliance with both federal and state regulations while maintaining customer trust and ensuring adequate data protection. Adopting a lowest-common-denominator approach to compliance may weaken governance programs and expose organizations to legal, operational, and reputational risks.

What Companies Should Be Doing Now

• Review and Update Data Privacy Policies: Companies should reassess and update their data privacy policies to ensure compliance with both federal and state requirements. Privacy compliance will remain a priority regardless of regulatory changes.
• Strengthen AI Transparency and Governance: Organizations must ensure transparency in AI use, particularly in automated decision-making processes. This includes implementing auditability and traceability mechanisms, which are increasingly demanded by regulators and consumers.
• Maintain Continuous Regulatory Monitoring: The AI regulatory landscape is evolving rapidly. Companies should closely monitor legal developments and be prepared to adapt their practices as new rules are enacted or challenged in court.
• Develop Flexible Compliance Structures: Given the likelihood of rapid changes at both federal and state levels, organizations should invest in compliance frameworks that can be quickly adjusted. This includes dedicated teams to monitor AI regulation and the ability to implement new digital governance practices as required.

Final Considerations: The Time to Act Is Now

The federal centralization of AI governance in the United States is not a distant issue, it is already reshaping the regulatory environment. Companies must recognize that regulatory change is not merely a compliance matter, but a core issue of risk management and reputational protection. AI governance and data privacy should be treated as strategic priorities now, ensuring not only legal compliance but also the protection of individuals’ rights and the preservation of public trust. Regulatory risk is already present and cannot be ignored.