This study explores a significant research gap in the application of artificial intelligence (AI) to the generation of grammatically correct Arabic texts. Arabic's complex grammatical and morphological structures present challenges that AI systems, including those in popular applications like Microsoft Word, struggle to process effectively. The research highlights the importance of improving AI-driven language tools to better serve Arabic-speaking users, both in academic and practical contexts. Using a descriptive methodology, the study surveyed 50 Microsoft Word 2010 users to evaluate their experiences with AI-powered Arabic text processing. Participants provided feedback on the system's ability to handle key grammatical elements, such as subject-verb agreement, gender, number, and context-sensitive expressions. Statistical data showed that 45.5% of respondents agreed that AI had difficulty managing Arabic's morphological complexities, while many users also noted that conditional uses and idiomatic expressions were often misinterpreted by the software. The findings emphasize the current limitations of AI in processing Arabic, particularly in recognizing and applying the language's intricate grammatical rules. The study suggests that integrating advanced AI techniques, such as deep learning and context-aware algorithms, could significantly enhance the accuracy of Arabic language processing. The broader implications of this research point to the need for continued investment in AI tools tailored to Arabic, which could improve machine translation, automated speech recognition, and text generation, making these technologies more reliable and effective for Arabic-speaking users.