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AI Regulation

Trump’s AI Executive Order Advances Federal Preemption of State Regulations

Trump’s December 2025 Executive Order on AI preempts state regulations, threatening federal funding and igniting legal battles over workplace AI compliance.

President Trump’s recent Executive Order (EO) on artificial intelligence (AI), issued on December 11, 2025, is poised to reshape the regulatory landscape surrounding AI technologies in the United States. The order, titled “Ensuring a National Policy Framework for Artificial Intelligence,” aims to assert a strong federal stance against state-level AI regulations that could hinder innovation and the nation’s competitive edge in AI development. As the legal and regulatory frameworks evolve, employers may find themselves navigating a complex web of obligations amidst mounting uncertainty.

The EO outlines an aggressive approach to challenge and potentially preempt state laws governing AI, particularly those affecting employer tools such as automated hiring systems and employee monitoring software. Specifically, the EO mandates that the Commerce Department assess state AI regulations and refer any deemed “onerous” to the Department of Justice (DOJ) for legal action. This includes establishing a DOJ “AI Litigation Task Force” within 30 days to contest state laws that may be considered unconstitutional or otherwise unlawful.

Furthermore, the EO sets conditions on federal funding, directing the Secretary of Commerce to issue a notice within 90 days that would tie certain federal funds to state compliance with the new federal AI framework. The directive notably threatens funding under the Broadband Equity Access and Deployment Program, reflecting the necessity of high-speed internet for AI applications. It also urges federal officials to draft legislative recommendations for Congress to create a cohesive federal AI framework that would override inconsistent state statutes.

Despite these sweeping measures, the EO does not invalidate existing state AI laws, which remain in effect for the time being. Importantly, the order does not directly target employers; instead, it addresses state officials who enforce their AI regulations. However, the absence of protections for employment-related state AI laws suggests that workplace AI will likely become a contentious legal battleground.

Employers should remain acutely aware of their obligations under federal statutes such as Title VII, the Americans with Disabilities Act (ADA), and the Age Discrimination in Employment Act (ADEA), which govern the use of AI in employment decisions. Even if state laws are eventually preempted, employers could still face liability under these federal regulations if, for instance, an algorithm inadvertently discriminates against certain protected groups.

The EO has ignited a wave of anticipated legal challenges. Several states, particularly those with robust AI regulations like Colorado, New York, and California, are expected to contest the order, arguing that it infringes on their authority under the 10th Amendment. Critics in Congress have also expressed concerns, asserting that a national AI framework should be legislated by Congress rather than dictated through an executive order. This broad-based resistance indicates a potentially turbulent legal landscape ahead.

For employers, this evolving regulatory environment underscores the urgency of proactive compliance strategies. The current uncertainties around AI regulations may amplify legal risks, prompting businesses to reassess their internal policies. Employers should identify applicable AI laws across different states and ensure that their human resources and IT teams understand how these regulations influence hiring practices and employee monitoring. An interactive map of AI legislation can be useful for tracking these developments.

Updating internal policies to align with both state and federal regulations is critical. Employers should draft flexible policies that can adapt to potential changes in laws, ensuring that updates are reflected in employee handbooks and contracts. Staff training on these policies and the responsible use of AI tools is equally essential.

Additionally, enhancing AI governance and documentation practices is vital. Employers should meticulously document the intended uses of their AI systems, including data collection methods and human oversight plans. Regular testing of AI models, focusing on fairness and discrimination prevention, is crucial, and maintaining records of corrective actions taken can provide legal safeguards.

Monitoring both federal and state updates will be essential for timely compliance. Employers should track upcoming deadlines related to the EO, including the establishment of the DOJ Task Force and the issuance of the funding policy notice. Consulting legal counsel, particularly specialists in employment law and AI compliance, can ensure that companies navigate these challenges effectively.

As the federal and state governments grapple over AI regulations, employers face the pressing need to map their current obligations, strengthen internal governance, and implement adaptable policies. By preparing for the shifting regulatory landscape, companies can mitigate risks associated with AI use, regardless of how the ongoing legal battles unfold.

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The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.

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