In the last decade, electronic surveillance systems have been actively employed for monitoring traffic rule violations with the aim of enhancing traffic regulation. The utilization of these systems has resulted in increased compliance with traffic regulations, consequently leading to a reduction in losses attributed to traffic accidents. The impact created by these systems is expected to be further amplified through the incorporation of artificial intelligence (AI) support. Within the scope of this study, a detailed analysis of the socio-economic impact of AI-assisted Electronic Traffic Monitoring Systems has been conducted, focusing on economic, mobility, health, environmental, and quality of life aspects.