Artificial intelligence in the metaverse: Innovations, challenges, and future directions

The Metaverse integrates immersive virtual environments, digital interaction, and intelligent computational systems to support new forms of social, educational, industrial, and economic activity. Artificial intelligence is one of the key enabler of this ecosystem because it supports perception, reconstruction, interaction, content generation, personalization, security, and scalable computation. This review presents an AI-centric synthesis of the Metaverse by examining how AI contribute to immersive virtual systems. The paper first outlines the theoretical foundations and enabling technologies of the Metaverse, then reviews major application domains, including intelligent avatars, virtual content creation, recommendation systems, blockchain-enabled digital economies, accessibility, and smart-city digital twins. It further analyzes core AI functions in perception, computation, reconstruction, interaction, and cooperation, followed by a comparative discussion of AI methodologies and their suitability for different Metaverse tasks. The review also discusses public datasets, reproducibility issues, ethical risks, privacy concerns, scalability barriers, and future research directions. Through reducing fragmented discussion and synthesizing methodological trends, this paper provides a structured roadmap for developing trustworthy, scalable, and human-centered AI-enabled Metaverse systems.