Abstract: With the steady progress toward carbon peaking and carbon neutrality, the deep integration of intelligence and greenness has become a new engine driving low-carbon development during the 15th Five-Year Plan period. Empowering green transformation through digital intelligence technologies has emerged as a concrete manifestation of the coordinated transformation between intelligentization and greening. Against the backdrop of continuous upgrades in digital intelligence technologies, generative artificial intelligence (AI), which builts upon general-purpose foundation models, is empowering climate governance scenarios through a “large model+specific application” paradigm, propelling the shift from traditional climate governance toward a new model of “intelligent climate governance”. Given that intelligent applications in climate governance scenarios are still in an exploratory stage, the integration of generative AI systems inevitably gives rise to endogenous technological risks and derivative carbon-emission risks. To manage the inherent tension between technological innovation and low-carbon development, it is necessary to establish an inclusive legal governance framework that mitigates algorithmic bias in the face of elastic technological risks, and to employ the classification and grading of carbon emission data to balance transparency with the opacity of algorithmic black boxes. In response to the standardization demands, it is essential not only to unleash the empowering potential of large climate governance models, but also to build collaborative mechanisms between technological solutions and legal frameworks. This will facilitate a technology-integrated legal regulatory system for climate governance to reinforce the momentum of green development.