Wastewater generation poses a pressing global challenge that demands sustainable treatment and resource recovery solutions. Conventional treatment plants are energy-intensive and centralized, driving the shift towards decentralized, eco-friendly alternatives. Bioelectrochemical systems have emerged as promising technologies for energy recovery from wastewater, though their large-scale application remains limited. Integrating bioelectrochemical systems (BESs) with constructed wetlands (CWs) creates hybrid systems that enhance pollutant removal while simultaneously enabling electricity and resource recovery. This chapter covers the fundamentals, principles and recent advancements of Artificial Intelligence in BESs-CWs, with an emphasis on energy generation, removal of organic and inorganic pollutants, nutrient recovery and value-added product synthesis. It further explores innovative applications, such as the use of MEC, and MFC automation, and AI. Finally, future perspectives are provided on scaling up bioelectrochemical systems with constructed wetlands through material innovations, field-scale validations, and integration with sustainable development goals.