Abstract: While China is entering a new stage of development, the green value of digital intelligence is increasingly prominent. Improving green total factor productivity is an inevitable requirement for accelerating the development of new quality productivity and promoting high-quality economic development. Taking 105 prefecture-level cities in the Yangtze River Economic Belt from 2011 to 2019 as samples, the SBM-GML index, fixed effect model and moderating effect model were used to empirically test the influence of digital intelligence on green total factor productivity. This study found that: (1) Digital Intelligence contributed significantly to green total factor productivity, mainly through green technological advances. (2) Science and technology innovation played a positive moderating role in digital intelligence to drive green total factor productivity. (3) The promotion effect of digital intelligence on green total factor productivity was significant in the upper, middle and lower reaches of the Yangtze River Economic Belt The promotion effect was ranked as “upstream, downstream, and middle reaches” at the regional level, and “resource-based cities, non-resource-based cities” at the resource endowment level. (4) The moderating effect of science and technology innovation was significant in the upstream and downstream of the Yangtze River Economic Belt, as well as in large cities of type I and above and non-resource cities. Policy recommendations were put forward to improve the new quality productivity of the Yangtze River Economic Belt, in terms of building a digital intelligent China, promoting scientific and technological innovation, and fostering greening.