The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to Green AI

A research paper reveals that generative AI systems deployed in 2025 have significantly higher environmental costs than previous AI generations, while current global regulations inadequately address these impacts. The authors propose mandatory model-level transparency, user opt-out rights, and international coordination to address environmental concerns in AI deployment.

• →Generative web search and reasoning models deployed in 2025 have much higher cumulative environmental impacts than previous AI approaches.
• →Current environmental regulations across eleven jurisdictions focus on facility-level rather than model-level governance, limiting their effectiveness for AI systems.
• →The paper proposes mandatory transparency requirements covering inference consumption, benchmarks, and compute locations for AI models.
• →Authors suggest user rights to opt out of unnecessary generative AI integration and select environmentally optimized models.
• →Concrete legislative proposals include amendments to EU AI Act, Consumer Rights Directive, and Digital Services Act as regulatory templates.