AI innovations, applications and recommendations in property management

What the paper says

Purpose The study's central question is how can AI enhance property management (PM) while balancing equity, ethics and sustainability? This question reveals opportunities and challenges. While AI fosters innovation and streamlines operations, it raises ethical concerns such as data privacy, algorithmic biases and risks of marginalizing vulnerable populations. Design/methodology/approach A literature review was conducted on the current research on AI in property management. Afterward, the research focused on real estate investment, predictive maintenance and the tenant experience. This information was then used to make recommendations for property managers interested in AI services. Findings The findings indicate that AI has the potential to significantly enhance various aspects of property management as long as there is human oversight. Research limitations/implications While AI offers significant potential, challenges such as data quality, algorithmic bias and cybersecurity risks must be addressed. Continued research is needed to fully understand the ethical implications of AI in property management, as well as to develop a framework for using AI responsibly. Practical implications The paper demonstrates that AI can streamline core property management functions by enhancing predictive maintenance, improving valuation accuracy, and automating routine tasks such as rent collection and service requests. These tools help managers reduce operational costs, increase efficiency, and make more informed decisions through data-driven insights. When paired with strong human oversight, AI also strengthens security and sustainability practices, offering managers a practical pathway to modernize daily operations. Social implications Socially, the paper highlights how AI can enhance tenant experiences through faster communication, personalized services, and safer living environments. However, it also warns of risks such as algorithmic bias, unequal access to technology, and data privacy concerns that may disproportionately affect vulnerable populations. The research emphasizes the need for ethical guidelines and transparent governance to ensure AI supports fairness, inclusivity, and trust within communities. Originality/value This research paper contributes to the growing but relatively new field of AI in property management. It provides an overview of AI use in property management and identifies areas for future research.