Managing construction waste (CW) efficiently at project sites has become increasingly important due to its detrimental effects on sustainability and resource conservation. The substantial waste generated by the construction industry has led to significant environmental and economic impacts, necessitating effective construction waste management (CWM) practices at construction sites. This critical review aims to explore the integration of Building Information Modelling (BIM) dimensions with construction management to enhance CWM. Construction and demolition waste (C&D waste) present a global challenge, affecting not only governmental policies but also stakeholders within the construction industry. The increasing construction activities worldwide have resulted in considerable waste, much of which is neither reused nor recycled and ultimately ends up in landfills. The environmental implications of this waste generation and the limited availability of landfill space underscore the urgency for innovative CWM practices. Accurate estimation of construction waste is a critical step towards effective CWM. Despite growing attention to CWM, the reuse and recycling (R&R) rates of construction waste remain low. Recently, BIM has emerged as a valuable tool for CWM due to its data-rich environment, visualization, and simulation capabilities, which can significantly improve CW R&R planning at the project level. This study critically reviews the role of BIM and artificial intelligence (AI) in enhancing CWM, highlighting their potential to transform waste management practices in the construction industry.