Microplastics (MPs) and antibiotic resistance genes (ARGs) are emerging contaminants spread widely in the aquatic environment. MPs can provide a niche for antibiotic-resistant bacteria and selectively enrich ARGs, indicating that MPs can increase the risk of ARGs transmission. Utilizing artificial intelligence (AI) and machine learning, we aim to pinpoint bacterial groups prone to acquiring ARGs on MPs in freshwater ecosystems to address the antibiotic resistance menace effectively.