Abstract: With the deep advancement of the global technological revolution and industrial transformation, generative artificial intelligence (AI) has become a core driver of next-generation information technology. It is reshaping the production models and innovation systems of traditional manufacturing. This paper examines how generative AI guides the transformation and upgrading of manufacturing productivity in Guangdong Province, addressing the efficiency bottlenecks and innovation challenges of traditional production methods. First, this paper systematically analyzes the role of national and local policies in promoting the application of generative AI in manufacturing. It also introduces an application framework for generative AI in the manufacturing industry. Next, this paper explores the practical applications and transformative impacts of generative AI in key areas, including research and development, production, operations management, and service extension, with a focus on Guangdong's manufacturing industry. Results indicate that generative AI enhances autonomous design, process optimization, and intelligent production control. These capabilities have significantly improved production efficiency and innovation capacity in Guangdong’s manufacturing sector, driving industrial upgrading. However, the widespread implementation of this technology faces challenges related to knowledge sharing, data security, and model interpretability. To this end, this paper proposes a series of policy and technical recommendations. Through technological innovation and policy guidance, generative AI is expected to drive the transformation of Guangdong's manufacturing industry towards greater intelligence, sophistication, and efficiency, facilitating the industry transition to a new stage of high-quality development.