This era of technology has significantly altered learning patterns, with the advent of AI offering new opportunities for language acquisition. The emergence of AI tools has eased the process of learning Arabic, both for native and non-native speakers. This review aims to comprehensively evaluate AI and its tools in aiding Arabic language learners. The data for this review were gathered from various online databases, and a systematic review of studies was conducted to maximize the range of research included. A total of 18 studies were analyzed to evaluate the impact of different AI tools in learning and teaching Arabic. Additionally, the principal findings of the meta-analysis indicated that AI and its tools benefit Arabic language learners, with a 95% confidence interval and an I2 value of 78%. However, significant heterogeneity among the studies suggests that further re-search is needed to understand the variability in AI tool effectiveness. The studies also highlighted challenges learners face, such as the adaptability of AIto various learning styles and the need for more personalized learning experiences. AI tools for Arabic language learning have proven valuable, but challenges remain that need to be addressed. This review provides important insights for future research on emerging language learning and teaching techniques, particularly for non-native Arabic speakers. These findings offer a foundation for educators and developers to refine AI-based tools for more effective language acquisition.