The construction industry is a major contributor to global CO2 emissions, with housing construction playing a significant role. Lean and technological approaches offer promising solutions for reducing emissions in housing, since Value Stream Mapping (VSM) enhances process analysis, and Artificial Intelligence (AI) can optimize complex systems. This paper aims to identify the state-of-the-art and drivers of current approaches that combine AI and VSM to integrate sustainability analysis in manufacturing. The main objective is to gather insights from the manufacturing industry to develop an AI-driven VSM for sustainability-aware operations in housing manufacturing. Based on a literature review based on the PRISMA methodology, the authors identified that Internet of Things (IoT) approaches enable AI-driven VSM by integrating real-time data collection. Specifically, IoT enables real-time data collection, and AI enables dynamic process analysis for monitoring, optimizing, and controlling. Additionally, defining sustainability goals and assessing information quality is critical before integrating sustainability variables in AIdriven VSM approaches. This paper presents the research background, findings, recommendations, and future research guidelines to deliver an AI-driven VSM approach for reducing CO2 emissions in housing manufacturing.