> **来源：[研报客](https://pc.yanbaoke.cn)** # 2026 Regulatory Challenges Summary ## Introduction KPMG Regulatory Insights highlights the ten key regulatory challenges for 2026, emphasizing the need for organizations to balance the "regulatory stack" amidst rapid technological innovation and evolving supervisory priorities. The focus is on reducing complexity, encouraging innovation, and promoting growth, with a "back-to-basics" approach to regulation. This shift involves a lighter supervisory touch, increased reliance on self-regulation, and growing regulatory divergence between federal, state, and global levels. --- ## Core Regulatory Challenges ### 1. Executing Mandates - **Regulatory Signals**: Core Mission, Self-Regulation, Regulatory Divergence - **Signal**: Regulators are narrowing their focus to core statutory authorities, promoting self-regulation, and addressing regulatory divergence. - **Examples**: - Withdrawal of federal rules related to climate, DEI, and AI. - State laws on data privacy, AI, and sustainability. - Interagency coordination and rule revisions for financial institutions. - **What to Watch**: - Continued regulatory divergence across federal, state, and global frameworks. - Rapid growth in state-level AI and data privacy laws. - Calls for federal preemption or moratoriums on state AI laws. - Increased use of guidance and frameworks for compliance. --- ### 2. Adopting Disruptive Tech & AI - **Regulatory Signals**: Model Risk Management, Complexity & Divergence, Public Private Partnership - **Signal**: Federal and state regulators are adapting existing frameworks to supervise AI and are promoting private sector-led innovation. - **Examples**: - Federal support for AI innovation (e.g., AI Action Plan, EO 14318). - State-level laws on AI safety, privacy, and children's data. - Regulatory sandboxes and industry-specific standards. - **What to Watch**: - Potential changes to regulatory processes to support AI innovation. - Regulatory sandboxes and streamlined permitting for data centers and energy infrastructure. - Increased focus on TPRM and risk-based approaches. --- ### 3. Maintaining Cyber & Data Security - **Regulatory Signals**: Federal Rationalization, State Complexity & Divergence, Data Privacy, Adaptive Frameworks - **Signal**: There is a growing emphasis on interagency coordination, data privacy, and adaptive frameworks to address cybersecurity threats. - **Examples**: - CISA reauthorization and funding. - State cybersecurity bills and enhanced data protection laws. - Federal contracting requirements for secure supply chains. - **What to Watch**: - Release of the National Cyber Strategy and related action items. - Increased compliance challenges due to federal, state, and global data laws. - Strengthened protections for children's data and AI-related regulations. - Application of new cybersecurity tools and technologies. --- ## Other Key Regulatory Challenges ### 4. Mitigating Financial Crimes - **Regulatory Signals**: Modernization, Recalibration, Sanctions - **Signal**: AML/CFT frameworks are being modernized with a risk-based approach, and there is increased focus on high-risk areas such as terrorist financing and sanctions evasion. - **Examples**: - Clarification of SAR filing requirements and reduced documentation for "No SAR" dispositions. - Expansion of sanctions targeting non-traditional entities. - Fintech partnerships posing heightened BSA/AML risks. - **What to Watch**: - Rule proposals to implement BSA provisions of the GENIUS Act. - Increased use of AI, blockchain analytics, and digital identity in detecting financial crimes. - Ongoing enforcement actions and whistleblower programs. --- ### 5. Averting Fraud & Scams - **Regulatory Signals**: Fast & Furious, Reprioritizing Enforcement, Trends - **Signal**: Fraud and scams are evolving with AI, requiring enhanced risk management and real-time collaboration. - **Examples**: - AI-enhanced fraud activities at scale. - Fragmented enforcement efforts leading to insufficient response. - **What to Watch**: - Collaboration between regulators, companies, and law enforcement. - Increased use of AI and emerging technologies in fraud detection. --- ### 6. Protecting Fairness - **Regulatory Signals**: Not explicitly detailed in the provided text. --- ### 7. Ensuring Resiliency - **Regulatory Signals**: Not explicitly detailed in the provided text. --- ### 8. Driving Capital Formation & Growth - **Regulatory Signals**: Not explicitly detailed in the provided text. --- ### 9. Expanding Digital Assets - **Regulatory Signals**: Not explicitly detailed in the provided text. --- ### 10. Enhancing Parties & Workforce - **Regulatory Signals**: Not explicitly detailed in the provided text. --- ## Additional Insights - **KPMG Regulatory Insights**: Highlights the importance of aligning innovation with regulatory guidance to maintain consumer trust. - **Regulatory Analytics**: Emphasizes the need for continuous monitoring and adaptation to regulatory changes. - **List of Acronyms & Executive Orders**: Provides context for understanding regulatory actions and directives. --- ## Conclusion The 2026 regulatory landscape is characterized by a balance between innovation and compliance, with a focus on reducing complexity, encouraging self-regulation, and addressing divergences in federal, state, and global regulations. Organizations must remain agile, invest in compliance, and collaborate across sectors to navigate these challenges effectively.