The exponential proliferation of Generative Artificial Intelligence (GAI), specifically its resource-intensive inference phase for applications such as high-fidelity video synthesis, constitutes a critical and largely unaddressed challenge to global climate mitigation efforts. This paper presents a granular analysis of the burgeoning CO2 burden and proposes a comprehensive, two-track mitigation roadmap: Technological Discontinuity and Institutionalized Responsibility. On the technological frontier, we detail the radical efficiency gains projected from Quantum Computing (QC) for algorithmic optimization and the potential for Commercial Nuclear Fusion to provide non-intermittent, carbon-free baseload power, thereby realizing the Energy-as-Technology (EaT) paradigm. On the policy front, we propose Mandates for Dedicated Carbon-Free Energy (CFE) Investment and Evolving Technology Utilization by hyper-scale AI operators. Crucially, we present the ‘Tonne-by-Tonne’ Mandate—a novel policy framework institutionalizing a verifiable, Beyond Offset (Three-Pillar) model for all unavoidable emissions, holistically addressing climate breakdown, biodiversity loss, and poverty. This framework is buttressed by a diplomatic strategy leveraging the Nationally Determined Contributions (NDCs) network at the Conference of the Parties (COP). Finally, this approach is activated by the Creative Community Action Mandate, which utilizes the Desktop Action Terminal for real-time impact visibility, empowering creators to use their purchasing power to demand adherence to the mandated Green Balance Standard from AI companies. This shift transforms GAI’s CO2 burden into a structured, market-accountable problem.