This patent describes an innovative system and method for automatically configuring electronic devices using artificial intelligence (AI). The core idea involves leveraging device usage data (telemetry data) as input for machine learning models to predict future events and proactively configure the device's operating system, applications, and hardware accordingly. This approach aims to personalize the user experience, optimize device performance (speed, memory, battery), improve resource allocation, and even enable preemptive actions and automatic remediation. A key aspect is the use of cloud-based machine learning models tailored to device metadata, with the potential for local augmentation using device-specific, non-shared information.