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As this new world evolves, Artificial Intelligence (AI) is playing an increasingly important role in shaping its development. Integrating AI with emerging technologies in the Metaverse creates new possibilities for immersive experiences that were previously impossible. This paper explores how AI is integrated with technologies such as the Internet of Things, blockchain, Natural Language Processing, virtual reality, Augmented Reality, Mixed Reality, and Extended Reality. One potential benefit of using AI in the Metaverse is the ability to create personalized experiences for individual users, based on their behavior and preferences. Another potential benefit of using AI in the Metaverse is the ability to automate repetitive tasks, freeing up time and resources for more complex and creative endeavors. However, there are also challenges associated with using AI in the Metaverse, such as ensuring user privacy and addressing issues of bias and discrimination. By examining the potential benefits and challenges of using AI in the Metaverse, including ethical considerations, we can better prepare for this exciting new era of VR. This paper presents a comprehensive survey of AI and its integration with other emerging technologies in the Metaverse, as the Metaverse continues to evolve and grow, it will be important for developers and researchers to stay up to date with the latest developments in AI and emerging technologies to fully leverage their potential.<\/jats:p>","DOI":"10.1007\/s10462-023-10641-x","type":"journal-article","created":{"date-parts":[[2024,2,5]],"date-time":"2024-02-05T13:02:21Z","timestamp":1707138141000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":116,"title":["Artificial intelligence powered Metaverse: analysis, challenges and future perspectives"],"prefix":"10.1007","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0033-7896","authenticated-orcid":false,"given":"Mona M.","family":"Soliman","sequence":"first","affiliation":[]},{"given":"Eman","family":"Ahmed","sequence":"additional","affiliation":[]},{"given":"Ashraf","family":"Darwish","sequence":"additional","affiliation":[]},{"given":"Aboul Ella","family":"Hassanien","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,5]]},"reference":[{"key":"10641_CR1","doi-asserted-by":"publisher","unstructured":"Agarwal T, Arora H, Schneider J (2021) Learning urban driving policies using deep reinforcement learning, IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, pp 607-614. https:\/\/doi.org\/10.1109\/ITSC48978.2021.9564412","DOI":"10.1109\/ITSC48978.2021.9564412"},{"key":"10641_CR2","doi-asserted-by":"publisher","unstructured":"Ahmed E, Hassanien A, Sabry M, Alaa M (2023) Avatar videos. mendeley data, V1 https:\/\/doi.org\/10.17632\/ygx3s9vmd9.1","DOI":"10.17632\/ygx3s9vmd9.1"},{"issue":"2","key":"10641_CR3","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1109\/JPROC.2018.2878265","volume":"107","author":"A Aijaz","year":"2018","unstructured":"Aijaz A, Sooriyabandara M (2018) The tactile internet for industries: a review. 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