In the rapidly evolving landscape of Industrial Internet of Things (IIoT), the pursuit of sustainability and environmental responsibility is of paramount importance. The concept of “Green Industrial IoT” emerges as a comprehensive approach to balance industrial productivity with environmental sustainability. With a focus on smart computing techniques, this study examines the ways artificial intelligence, in particular deep learning, is being applied to improve the efficiency and environmental friendliness of industrial processes. We examine the present obstacles IIoT confronts in becoming more environmentally friendly. We then examine the fundamental elements of the Green IIoT, emphasizing the value of utilizing data from diverse devices to increase productivity while minimizing environmental harm. We also discuss the fascinating function of “smart” IIoT devices, which can monitor and handle processes incredibly accurately because of deep learning. A thorough examination of real-world applications, a look at ethical issues, and a glimpse into the future of a greener, more effective industry are all covered in the debate.