Despite undoubtedly being the most prosperous state, the Golden State no longer appears that way for a vast number of its residents. The worsening problem of Californian homelessness has plagued people’s well-being for decades and is only continuing to trickle down to affect youth, ultimately causing systemic problems to further permeate through younger generations while destroying youth opportunities for vital higher education. This research aims to address the significant issue of college student homelessness in California. As the problem continues to persist and worsen, potential lies in utilizing artificial intelligence (AI) to better process and analyze crucial data that institutions currently are overwhelmed by. The overall goal of these new technology solutions is to better identify, prioritize, and evaluate factors among college students to address the issues and risks of homelessness. The research conducts a literature review of past policy and AI solutions, specifically focusing on AI’s ability to prioritize resource allocation, needs assessment, and risk evaluation research. Through qualitative methods, a comparative analysis of existing literature, research gaps, and subsequent potential impacts will be conducted to find conclusions on current public policy and future solutions. Without directly involving participants, the goal is to provide necessary comparisons and recommendations to improve the use of AI data tools in predicting and addressing college student homelessness, ultimately contributing to the development of effective public policies in California. The potential benefits of this research extend to youth and students, the general community, and policymakers by investigating a pathway to combat the college student homelessness issue, and the findings are intended to inspire essential mindfulness and advocacy within Californian communities and the youth of the future.