US AI Regulation Enters the 'Jigsaw Era': How Can Corporate Compliance Break Through?

Industry Context

The rapid development of artificial intelligence is reshaping the global industrial landscape, but the accompanying regulatory challenges are becoming increasingly prominent. Governments and regulatory agencies around the world are attempting to update frameworks to address the opportunities and risks brought by AI. However, as noted in White & Case's "AI Watch: Global regulatory tracker," regulatory definitions, forms, and approaches to AI vary significantly across the globe. In the United States, this fragmentation is particularly pronounced: White House executive orders, federal agency actions, and state legislation intertwine to form a complex regulatory map.

Market Impact

For businesses, the fragmentation of U.S. AI regulation directly leads to higher compliance costs and increased uncertainty. Companies not only need to address federal-level executive orders but also pay attention to the varying AI definitions and rules across states. This "patchwork" regulation subjects companies operating across state lines to multiple compliance obligations. In addition, the U.S. Federal Trade Commission (FTC), Equal Employment Opportunity Commission (EEOC), Consumer Financial Protection Bureau (CFPB), and Department of Justice (DOJ) have jointly stated that they will regulate AI within their existing authorities, meaning businesses must simultaneously satisfy multi-agency requirements regarding data protection, anti-discrimination, consumer protection, and more.

Competitive Landscape

Regulatory fragmentation is reshaping the competitive landscape of the AI market. Large technology companies and resource-rich enterprises have stronger legal and compliance teams that can navigate complex regulations more effectively, thereby consolidating their market positions. In contrast, small and medium-sized enterprises and AI startups may slow their innovation pace due to compliance burdens. Furthermore, differences in state regulations may lead companies to reassess where they invest and operate—for example, investing in states with more lenient AI regulation while avoiding high-risk AI applications in states with strict oversight.

Enterprise Implications

For enterprises, understanding the "intersecting" nature of AI regulation is crucial. The referenced content points out that AI regulation heavily overlaps with legal areas such as intellectual property, antitrust, data protection, financial regulation, mergers and acquisitions, and litigation. This means that even without dedicated AI laws, a company's AI applications may be restricted by existing legislation. Enterprises should establish cross-functional AI governance mechanisms, not only focusing on AI-specific regulations but also assessing compliance requirements in related fields, and consider adopting a "highest common standard" to harmonize AI definitions across different jurisdictions.

OutlookLooking ahead, the fragmented state of US AI regulation is likely to persist for some time. In the short term, comprehensive federal AI legislation is unlikely to pass quickly, and state-level legislation and actions by existing agencies will continue to dominate the regulatory process. In the medium term, as AI technology evolves, regulatory flexibility may lead to more judicial interpretations and enforcement cases, requiring companies to stay continuously attentive. In the long term, international coordination (such as the G7, OECD, etc.) may gradually influence the direction of US domestic regulation, but the formation of a unified framework still faces considerable challenges.

Finally, the reference content emphasizes that companies should closely track AI regulatory developments in their core markets in order to identify opportunities and risks in advance. In the absence of unified regulation, companies' adaptability will become a key competitive advantage.