Innovative Approaches to Cope with the AI-Climate Dilemma: a Taxonomy in Action
The intersection of artificial intelligence (AI) regulation and clean energy law represents a significant challenge as AI systems consume exponentially increasing electricity, while potentially enabling renewable energy optimization. Legislators and regulators worldwide face governing technologies that are simultaneously massive energy consumers and clean energy enablers.
This analysis examines how legal frameworks are going to adapt to address the AI-energy nexus, through a systematic comparison of regulatory approaches across major jurisdictions. The paper proceeds in three complementary sections that move from theoretical foundations to practical implementation and comparative analysis. Part I establishes the theoretical foundation starting from AI-Climate dilemma concept and using regulation taxonomy conceived for AI regulation, although not specifically for AI-energy issues. Part II examines practical implementations across EU member states and the US federal system. Part III provides comparative analysis through systematic mapping of regulatory approaches, revealing fundamental institutional divides between European and American frameworks.
Together, these three sections provide a comprehensive framework for understanding how legal systems are adapting to govern the complex interactions between artificial intelligence development and clean energy transitions, offering insights for practitioners, policymakers, and scholars navigating this rapidly evolving regulatory and policy landscape.
