Given the increasing presence of artificial intelligence tools in society and the integration of large language models into human life, fundamental changes have occurred in various aspects of human life over the past decade. Artificial intelligence has brought both capabilities and challenges to the field of human communication. This article aims to identify the capabilities and challenges of artificial intelligence for human communication and optimize its use in human interactions. The method of this article is a systematic review analysis of secondary sources, with data collection and processing conducted through the seven-step systematic analysis method by Wright et al. (2007). Using purposive sampling, 17 articles published were examined. The findings indicate that the capabilities of artificial intelligence for human communication include increased speed and efficiency in responding, continuous accessibility, facilitation of multilingual conversations, enhanced global interactions, access to local information, ease of communication during travel, facilitation of international collaborations, global learning experiences, and an enhanced sense of global solidarity. The challenges of artificial intelligence for human communication include decreased speaking and social skills, reduced trust and empathy in communications, diminished language learning and language skills, inability to detect linguistic and cultural subtleties, loss of emotional and empathetic abilities in interactions, reduced critical thinking and problem-solving skills, low accuracy in complex translations, decreased motivation for language learning, privacy breaches, and the information bubble phenomenon. The results indicate that governments, universities, scientific centers, and professional users are the four main actors in optimizing the use of artificial intelligence in human communication.