Industrial park wastewater treatment is an important step in reducing pollutants and improve the quality of water environment. Natural conditions, influent impact, diversity of pollutant composition and complexity of wastewater treatment technology lead to uncertainty and change of wastewater treatment system in industrial parks. These uncertainties lead to fluctuations in effluent quality and operating costs in industrial parks, as well as environmental risks in receiving water bodies. Artificial intelligence has become a powerful tool to reduce the complexity and risks of wastewater treatment. Through a large-scale bibliometric analysis of the application of artificial intelligence technology in wastewater treatment, this paper systematically reviews the application of artificial intelligence technology in five aspects of industrial park wastewater treatment, such as monitoring, pollutant removal, energy saving, management and wastewater reuse, and summarized the appropriate application scenarios, prediction accuracy and application limitations of typical artificial intelligence technology. Finally, we discuss potential future directions for utilizing the new research frontier of artificial intelligence in wastewater treatment plants, while addressing challenges of pollutant removal, cost reduction, water reuse and management in complex practical applications.