The real estate valuation sector is undergoing a revolution thanks to the introduction of Automated Valuation Models (AVMs) and Artificial Intelligence (AI), which are upending conventional approaches and changing market practices. The incorporation of these technologies into property appraisal is examined in this article, with a focus on the opportunities and transformational potential they offer. Through an analysis of the development of AVMs and AI in valuation procedures, the study demonstrates how these technologies can improve scalability, accuracy, and efficiency.

While tackling important issues like data quality, transparency, and ethical considerations, we explore the main forces for adoption, such as developments in machine learning, big data analytics, and geospatial technologies. The research also explores the interplay between human expertise and automated solutions, showing how modern technologies can enhance rather than completely replace conventional methods.

As authors who are actively involved with FIG (International Federation of Surveyors), we take use of our affiliation with this international association to integrate perspectives from state-of-the-art debates and studies in the area. This work is also grounded in a solid academic debate because a portion of our collaborative research on these themes has been published through FIG and other prestigious journals.

We offer insights into the real-world uses and ramifications of AVMs and AI in property assessment by examining case studies, empirical data, and industry practices. By providing a framework for their responsible and successful implementation, the findings seek to educate scholars, practitioners, and policymakers about the revolutionary potential of these advances. This study adds to the current discussion about the future of real estate valuation by establishing AI and AVMs as essential instruments for negotiating the ever-changing real estate market.