This paper examines the European Union's emerging regulatory landscape - focusing on the AI Act, corporate sustainability reporting and due diligence regimes (CSRD and CSDDD), and data center regulation - to assess whether it can effectively govern AI's environmental footprint. We argue that, despite incremental progress, current approaches remain ill-suited to correcting the market failures underpinning AI-related energy use, water consumption, and material demand. Key shortcomings include narrow disclosure requirements, excessive reliance on voluntary standards, weak enforcement mechanisms, and a structural disconnect between AI-specific impacts and broader sustainability laws. The analysis situates these regulatory gaps within a wider ecosystem of academic research, civil society advocacy, standard-setting, and industry initiatives, highlighting risks of regulatory capture and greenwashing. Building on this diagnosis, the paper advances strategic recommendations for the COP30 Action Agenda, calling for binding transparency obligations, harmonized international standards for lifecycle assessment, stricter governance of data center expansion, and meaningful public participation in AI infrastructure decisions.

翻译：本文审视了欧盟新兴的监管框架——重点关注《人工智能法案》、企业可持续发展报告与尽职调查制度（CSRD与CSDDD）以及数据中心法规——以评估其能否有效管控人工智能的环境足迹。我们认为，尽管取得了渐进式进展，现行方法仍难以纠正支撑人工智能相关能源消耗、水资源使用及材料需求的市场失灵问题。关键缺陷包括：披露要求范围狭窄、过度依赖自愿性标准、执行机制薄弱，以及人工智能特定影响与广义可持续发展法律之间的结构性脱节。本分析将这些监管缺口置于学术研究、公民社会倡导、标准制定与行业倡议构成的更广泛生态系统中进行考察，揭示了监管俘获与绿色漂白的风险。基于此诊断，本文为COP30行动议程提出战略性建议，呼吁建立具有约束力的透明度义务、统一生命周期评估的国际标准、加强对数据中心扩张的监管，并推动公众实质性参与人工智能基础设施决策。