Ooi Joo OnMuhammad Syaiful Amri bin SuhaimiAddul Rehman0000-0001-5416-763XSayed Aluwee Sayed Ahmad ZikriGoh Chuan MengChai Meei Tyng2026-10-142026-10-142025-08-21979833156611110.1109/ECE67147.2025.11276551https://dspace-cris.utar.edu.my/handle/123456789/11728Operating System (OS) installation and deployment traditionally require specialised domain expertise and extensive manual effort. Traditional OS installation can be time-consuming, error-prone, and requires manual decision-making. AI-assisted Operating System (OS) installation is an emerging interdisciplinary field that blends artificial intelligence (AI), system automation, and software engineering to streamline and optimize the process of build and deploying operating systems. With AI integration one aims to improve accuracy, efficiency, adaptability, and scalability in various environments, from personal computing to enterprise-level deployments. This paper presents an up to date survey for AI-driven framework that automates the design, configuration, compilation, testing, and deployment of typically used operating systems, eg. Ubuntu, and Debian. Leveraging large language models (LLMs), reinforcement learning, and DevOps automation pipelines, the system intelligently interprets user requirements to produce specifications according to project requirements, then dynamically generates configuration template for used in automated OS installation, test and validate, and eventually fine-tuned to generate an optimized OS. Analysis and review shows significant reductions in development time, improved consistency, and higher adaptability across various hardware and cloud environments. This work highlights the transformative potential of AI in Infrastructure as Code (IaC) for AI for infrastructure management segment, and proposes some approach and techniques for improvise autonomous OS installation and deployment process. © 2025 IEEE.en-USAI-driven configurationArtificial IntelligenceAutomated System DeploymentMachine LearningOperating System InstallationEngineering educationInstallationLearning systemsMachine learningSoftware engineeringArtificial intelligence-driven configurationAutomated system deploymentAutomated systemsAutomation processDomain expertiseMachine-learningOperating system installationSystem buildingSystem deploymentSystems installationAutomationtext::conference output::conference proceedings::conference paper